An Indexed Bibliography of Genetic
Algorithms in Medicine
compiled by
Jarmo T. Alander
Department of Electrical and Energy Engineering: Automation
University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finland
phone: +358-6-324 8444, fax: +358-6-324 8467
Dedicated to Prof. Ela Claridge
Report Series No. 94-1-MEDICINE (Updated 2014/07/18 15:12 )
available at http://www.uva.fi/~TAU/reports/report94-1/gaMEDICINEbib.pdf
c 1994-2014 Jarmo T. Alander
Copyright c
Cover image: 2007
Olli Kanniainen, All rights reserved.
Near infrared measurement for wavelengths to be optimised by GA.
Trademarks
Product and company names listed are trademarks or trade names of their respective companies.
Warning
While this bibliography has been compiled with the utmost care, the editor takes no responsibility for
any errors, missing information, the contents or quality of the references, nor for the usefulness and/or
the consequences of their application. The fact that a reference is included in this publication does not
imply a recommendation. The use of any of the methods in the references is entirely at the user’s own
responsibility. Especially the above warning applies to those references that are marked by trailing ’†’ (or
’*’), which are the ones that the editor has unfortunately not had the opportunity to read. An abstract
was available of the references marked with ’*’.
Contents
1 Preface
1.1 Your contributions erroneous or missing?
1.1.1 How to cite this report? . . . . . .
1.2 How to get this report via Internet? . .
1.3 Acknowledgement . . . . . . . . . . . . . .
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2 Introduction
1
2
2
2
2
4
3 Statistical summaries
3.1 Publication type . . . . .
3.2 Annual distribution . . . .
3.3 Classification . . . . . . .
3.4 Authors . . . . . . . . . .
3.5 Geographical distribution
3.6 Conclusions and future . .
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5
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4 Indexes
4.1 Books . . . . . . . . .
4.2 Journal articles . . . .
4.3 Theses . . . . . . . . .
4.3.1 PhD theses . .
4.3.2 Master’s theses
4.4 Report series . . . . .
4.5 Patents . . . . . . . .
4.6 Authors . . . . . . . .
4.7 Subject index . . . . .
4.8 Annual index . . . . .
4.9 Geographical index . .
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44
59
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Bibliography
61
Appendixes
137
A Bibliography entry formats
137
i
ii
Chapter 1
Preface
“ Living organism are consummate problem solvers. They exhibit a versatility
that puts the best computer programs to shame. ”
John H. Holland, [1]
The material of this bibliography has been extracted from the genetic algorithm bibliography [2], which
when this report was compiled (July 18, 2014) contained 23099 items and which has been collected from
several sources of genetic algorithm literature including Usenet newsgroup comp.ai.genetic and the
bibliographies [3, 4, 5, 6]. The following index periodicals and databases have been used systematically
• A: International Aerospace Abstracts: Jan. 1995 – Sep. 1998
• ACM: ACM Guide to Computing Literature: 1979 – 1993/4
• BA: Biological Abstracts: July 1996 - Aug. 1998
• CA: Computer Abstracts: Jan. 1993 – Feb. 1995
• CCA: Computer & Control Abstracts: Jan. 1992 – Dec. 1999 (except May -95)
• ChA: Chemical Abstracts: Jan. 1997 - Dec. 2000
• CTI: Current Technology Index Jan./Feb. 1993 – Jan./Feb. 1994
• DAI: Dissertation Abstracts International: Vol. 53 No. 1 – Vol. 56 No. 10 (Apr. 1996)
• EEA: Electrical & Electronics Abstracts: Jan. 1991 – Apr. 1998
• EI A: The Engineering Index Annual: 1987 – 1992
• EI M: The Engineering Index Monthly: Jan. 1993 – Apr. 1998 (except May 1997)
• Esp@cenet patents – Apr. 2002
• IEEE: IEEE and IEE Journals – Fall 2002
• N: Scientific and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995)
• NASA NASA ADS www bibliography database: – Dec. 2002
• P: Index to Scientific & Technical Proceedings: Jan. 1986 – Dec 1999 (except Nov. 1994)
• PA: Physics Abstracts: Jan. 1997 – June 1999
• PubMed: National Library of Medicine Jan. 2000 – Oct. 2000, 2012-2013
• SPIE Web The International Society for Optical Engineering – June 2002
1
2
1.1
Genetic algorithms in medicine
Your contributions erroneous or missing?
The bibliography database is updated on a regular basis and certainly contains many errors and inconsistences. The editor would be glad to hear from any reader who notices any errors, missing information,
articles etc. In the future a more complete version of this bibliography will be prepared for the genetic
algorithms in medicine research community and others who are interested in this rapidly growing area of
genetic algorithms.
When submitting updates to the database, paper copies of already published contributions are preferred. Paper copies (or ftp ones) are needed mainly for indexing. We are also doing reviews of different
aspects and applications of GAs where we need as complete as possible collection of GA papers. Please,
do not forget to include complete bibliographical information: copy also proceedings volume title pages,
journal table of contents pages, etc. Observe that there exists several versions of each subbibliography,
therefore the reference numbers are not unique and should not be used alone in communication, use the key appearing as the last item of the reference entry instead.
Complete bibliographical information is really helpful for those who want to find your contribution
in their libraries. If your paper was worth writing and publishing it is certainly worth to be referenced
right in a bibliographical database read daily by GA researchers, both newcomers and established ones.
1.1.1
How to cite this report?
You can use the BiBTEX file GASUB.bib, which is available in our site lipas.uwasa.fi in directory
reports/report94-1 and contains records for GA subbibliographies for citing with LATEX/BibTEX.
1.2
How to get this report via Internet?
Versions of this bibliography are available via www from the following site:
media
web
country
Finland
site
lipas.uwasa.fi
directory
~TAU/reports/report94-1
file
gaMEDICINEbib.pdf
The directory also contains some other indexed GA bibliographies shown in table A.1. In case you do
not find a proper one please let us know: it may be easy to tailor a new one.
1.3
Acknowledgement
The editor wants to acknowledge all who have kindly supplied references, papers and other information on
genetic algorithms in medicine literature. At least the following GA researchers have already kindly supplied their complete autobibliographies and/or proofread references to their papers: Dan Adler, Patrick
Argos, Jarmo T. Alander, James E. Baker, Wolfgang Banzhaf, Helio J. C. Barbosa, Hans-Georg Beyer,
Christian Bierwirth, Peter Bober Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas B¨ack, Chhandra
Chakraborti, Nirupam Chakraborti, David E. Clark, Carlos A. Coello Coello, Yuval Davidor, Dipankar
Dasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipiˇc, Terence C. Fogarty, David B. Fogel, Toshio
Fukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina Gorges-Schleuter, Hitoshi Hemmi,
Vasant Honavar, Jeffrey Horn, Aristides T. Hatjimihail, Heikki Hy¨otyniemi Mark J. Jakiela, Richard
S. Judson, Bryant A. Julstrom, Charles L. Karr, Akihiko Konagaya, Aaron Konstam, John R. Koza,
Kristinn Kristinsson, Malay K. Kundu, D. P. Kwok, Jouni Lampinen, Jorma Laurikkala, Gregory Levitin, Carlos B. Lucasius, Timo Mantere, Michael de la Maza, John R. McDonnell, J. J. Merelo, Laurence
D. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker Nissen, Ari Nissinen,
Tatsuya Niwa, Tomasz Ostrowski, Kihong Park, Jakub Podg´orski, Timo Poranen, Nicholas J. Radcliffe,
Colin R. Reeves, Gordon Roberts, David Rogers, David Romero, Sam Sandqvist, Ivan Santib´an
˜ez-Koref,
Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis, Davil L. Shealy, Moshe
Sipper, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro Tanaka, Leigh Tesfatsion,
Acknowledgement
3
Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Kanji Ueda, Jari Vaario, Gilles Venturini, HansMichael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Stefan Wiegand, Steward
W. Wilson, Xin Yao, Xiaodong Yin, and Ljudmila A. Zinchenko.
The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscript
of this bibliography and Tea Ollanketo and Sakari Kauvosaari for updating the database. Prof. Timo
Salmi and the Computer Centre of University of Vaasa is acknowledged for providing and managing the
online web site lipas.uwasa.fi, where these indexed bibliographies are located since Summer 2012.
Chapter 2
Introduction
“Many scientist, possibly most scientist, just do science without thinking too
much about it. They run experiments, make observations, show how certain
data conflict with more general views, set out theories, and so on. Periodically,
however, some of us—scientists included—step back and look at what is going
on in science.”
David L., Hull, [7]
The table 2.1 gives the queries that have been used to extract this bibliography. The query system as well
as the indexing tools used to compile this report from the BiBTEX-database [8] have been implemented
by the author mainly as sets of simple awk and gawk programs [9, 10].
string
medicine
medical
veterinary
dental
drug design
,genetics
Medical
Medicine
Biomed
Medical
Medicine
Biomed
Psychology
Psychiatry
neurology
epilepsy
epilepsy
field
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
ANNOTE
JOURNAL
JOURNAL
JOURNAL
BOOKTITLE
BOOKTITLE
BOOKTITLE
JOURNAL
JOURNAL
ANNOTE
ANNOTE
TITLE
class
Medicine
Medicine
Veterinary
Dentistry
Drug design
Genetics
Medicine journal article
Medicine journal article
Medicine journal article
Medical book or proceedings
Medical book or proceedings
Medical book or proceedings
Psychology journal article
Psychiatry journal article
Neurology
epilepsy
epilepsy
Table 2.1: Queries used to extract this subbibliography from the source database.
You might also find the bibliography [11], containing biosciences references, [12], containing neural
networks references, and [13], containing protein references, interesting.
4
Chapter 3
Statistical summaries
This chapter gives some general statistical summaries of genetic algorithms in medicine literature. More detailed indexes can be found in the
next chapter.
number of journal articles may also include articles published or to be published in unknown
forums.
type
book
part of a collection
journal article
proceedings article
report
manual
PhD thesis
MSc thesis
others
total
References to each class (c.f table 2.1) are listed
below:
• Dentistry 4 references ([14]-[17])
• Drug design 125 references ([18]-[142])
• epilepsy 8 references ([143]-[150])
• Genetics 38 references ([151]-[188])
• Medical book or proceedings 34 references ([189]-[222])
number of items
4
16
769
318
5
1
28
4
11
1156
Table 3.1: Distribution of publication type.
• Medicine 796 references ([223]-[1018])
• Medicine journal article 138 references
([1019]-[1156])
• Neurology 9 references ([1157]-[1165])
• Psychology journal article 2 references
([1166]-[1167])
3.2
Observe that each reference is included (by the
computer) only to one of the above classes (see the
queries for classification in table 2.1; the textual
order in the query gives priority for classes).
3.1
Annual distribution
Table 3.2 gives the number of genetic algorithms
in medicine papers published annually. The annual distribution is also shown in fig. 3.1. The
average annual growth of GA papers has been approximately 40 % during late 70’s - early 90’s.
Publication type
This bibliography contains published contributions
including reports and patents. All unpublished
manuscripts have been omitted unless accepted
for publication. In addition theses, PhD, MSc
etc., are also included whether or not published
somewhere.
Table 3.1 gives the distribution of publication
type of the whole bibliography. Observe that the
3.3
Classification
Every bibliography item has been given at least
one describing keyword or classification by the editor of this bibliography. Keywords occurring most
are shown in table 3.3.
5
6
Genetic algorithms in medicine
year
1959
1961
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
total
items
1
0
0
0
0
0
0
0
0
1
0
0
0
1
1
2
6
17
22
48
72
52
29
37
43
28
131
123
year
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
items
1
1
0
0
0
1
0
0
1
0
1
0
0
1
3
3
4
24
47
72
61
32
20
41
30
20
160
19
1156
Table 3.2: Annual distribution of contributions.
6Genetic algorithms in medicine
ccc
c ccc
c
cc
1000
c
c
number of papers
ccc
c
c
ccc
c
(log scale)
c
cc s
c
ss
100
cc
sss
c
cc
ss s sss
ss ss
c
s
c
s s
s
ss
c cc
c cc cccc
10
s
cc c
s
c cc
ss
c
cc
s
c c c
s
ss s sss
c 1cssccs
1960
2014/07/18
1970
1980
1990
2000
2010
year
Figure 3.1: The number of papers applying genetic algorithms in medicine (•, N = 1162 )
and total GA papers (◦, N = 23099 ). Observe
that the last few years are most incomplete in the
database.
Total
medicine
medical imaging
image processing
cancer
neural networks
drug design
imaging
image registration
neurology
chemistry
classification
signal processing
genetics
spectroscopy
comparison
tomography
hybrid
proteins
QSAR
cardiology
SVM
diagnosis
radiotherapy
machine learning
physiology
genetic programming
GARP
fuzzy systems
parallel GA
surgery
ecology
clustering
pattern recognition
inverse problems
feature selection
mammography
review
optimisation
electromagnetics
diabetes
classifiers
patent
filters
segmentation
regression
oncology
MRI
engineering
others
1044
744
250
113
102
69
69
68
54
52
45
42
39
38
36
35
34
33
31
22
21
20
20
19
19
18
18
18
17
16
15
15
15
14
14
14
13
12
12
12
12
12
11
11
10
10
10
10
10
3045
Table 3.3: The most popular subjects.
Authors
3.4
7
Authors
Table 3.4 gives the most productive authors.
total number of authors
Zheng, Bin
Delibasis, Konstantinos K.
3 authors
1 author
12 authors
14 authors
15 authors
34 authors
70 authors
304 authors
2892 authors
3347
13
10
9
8
7
6
5
4
3
2
1
Table 3.4: The most productive genetic algorithms in medicine authors.
8
3.5
Genetic algorithms in medicine
Geographical distribution
Table 3.5 gives the geographical distribution of authors, when the country of the author was known. Over
80% of the references of the GA source database are classified by country.
2014/07/18
country
Total
United States
China
United Kingdom
Japan
India
Iran
Germany
Italy
Taiwan
France
Finland
Canada
Australia
Spain
Turkey
Brazil
Greece
South Korea
Mexico
Slovenia
special
n
%
1128 100.00
293
25.98
103
9.13
96
8.51
61
5.41
56
4.96
49
4.34
45
3.99
36
3.19
35
3.10
27
2.39
23
2.04
22
1.95
19
1.68
19
1.68
18
1.60
15
1.33
11
0.98
11
0.98
10
0.89
10
0.89
comparison
δ[%] ∆[%]
−0.33
+3.33
−1.31
−5.98
+2.92
+3.74
−2.53
+0.39
+0.78
−0.15
−1.95
+0.34
−0.74
−0.41
+1.04
+0.23
+0.39
−1.25
+0.22
+0.59
−1
+57
−13
−53
+143
+623
−39
+14
+34
−6
−49
+21
−31
−20
+186
+21
+66
−56
+33
+197
all
N
21897
5762
1271
2150
2493
447
131
1427
613
507
556
873
353
531
457
123
240
129
488
146
66
%
100.00
26.31
5.80
9.82
11.39
2.04
0.60
6.52
2.80
2.32
2.54
3.99
1.61
2.42
2.09
0.56
1.10
0.59
2.23
0.67
0.30
Table 3.5: The geographical distribution of the authors working on genetic algorithms in medicine
(n) compared (δ and ∆) to all authors in the field of GAs (N ). In the comparison column: δ% =
nNT otal
%special−%all and ∆ = (1 − N
nT otal ) × 100%. ∆ is the relative (%) deviation from the expected number
of special papers. Observe that joint papers may have authors from several countries and that not all
authors have been attributed to a country.
3.6
Conclusions and future
The editor believes that this bibliography contains references to most genetic algorithms in medicine
contributions upto and including the year 1998 and the editor hopes that this bibliography could give
some help to those who are working or planning to work in this rapidly growing area of genetic algorithms.
Chapter 4
Indexes
4.1
Books
Am. J. Trop. Hyg.,
[681]
American Journal of Biomedical Engineering,
The following list contains all items classified as
books.
American Scientist,
Analytica Chimica Acta,
[597, 44]
Analytical and Bioanalytical Chemistry,
Data Mining Using Grammar Based Genetic Programming
and Applications, [238]
Analytical Chemistry,
Fuzzy Genetic Algorithms, SVM Methods for Epilepsy
Classification: Fuzzy Genetic Al gorithms, SVM
and Statistical Analysis in Classification of Diabetic
Epilepsy Risk Level from EEG Signal, [146]
Ann. Otol. Rhinol. Laryngol.,
Optimization in Signal and Image Processing,
Radiotherapy Treatment Planning:
proaches, [1005]
[1064]
[29]
[863]
[804, 973]
Anesthesia and Analgesia,
[83]
[991]
Annals of Biomedical Engineering,
[1029, 1032, 1052, 1054]
Annals of the New York Academy of Sciences,
[629]
Annual Review of Biophysics and Biomolecular Structure,
[346]
[28]
New System Ap-
Applied Optics,
Applied Soft Computing,
Archiv Der Pharmazie,
total 4 books
[627]
[148]
[89]
Artificial Intelligence in Medicine,
[576, 579, 582, 585, 590,
616, 1145, 1148, 735, 743, 753, 770, 1150, 801, 858, 1153,
434, 907, 945, 960, 525, 1004, 1006]
4.2
Journal articles
The following list contains the references to every
journal article included in this bibliography. The
list is arranged in alphabetical order by the name
of the journal.
Artificial Life,
[949]
Artificial Organs,
[564, 766]
Artificila Intelligence in Medicine,
ASAIO Journal,
[773]
[630, 646, 670]
Asian Pacific Journal of Cancer Prevention,
[758]
Australasian Physical & Engineering Sciences in Medicine,
[793]
Acad. Radiol.,
[542]
Academic Open Internet Journal,
Academic Radiology,
ACOUSTICA,
[308]
Behavioural Processes,
[1164]
Bio Systems,
[790]
Bio-medical Materials and Engineering,
[717, 733]
[561]
[84]
ACS Medicinal Chemistry Letters,
[31]
Biochemistry,
[942]
Bioinformatics,
[648, 135]
Acta Ophthalmologica, [780]
Bioinformation,
[170, 814]
Acta Oto-laryngologica,
Biological Trace Element Research,
Acta Biochimica Et Biophysica Sinica,
[763]
[726]
Acta Pharmacologica Sinica,
[879]
Biochemical and Biophysical Research Communications,
Biomacromolecules,
[53]
[719]
[847]
Advances and Applications in Bioinformatics and Chemistry, [175]
Biomarkers in Medicine,
Advances in Experimental Medicine and Biology, [1147, 398]
Biomechanics and Modeling in Mechanobiology,
[729, 778]
Algorithms For Molecular Biology,
Biomed. Eng. Appl. Basis Commun. (Taiwan),
[1083]
Biomaterials,
[761]
9
[812, 840]
[754]
10
Genetic algorithms in medicine
Biomed. Sci. Instrum.,
Computer Aided Surgery,
[1026]
BioMedical Engineering OnLine,
Biomedical Optics Express,
[157,
1033, 1037, 1038, 1041, 1042, 1044, 1045, 1053, 1057, 1068,
1070, 1071, 1073, 1074, 1076, 1077, 1080, 1084]
[1069]
Biomedical Sciences Instrumentation,
[1062]
Biomedical Signal Processing and Control,
Computer Vision and Image Understanding,
[1049]
Biomedizinische Technik,
Computers & Mathematics with Applications,
Computers & Chemistry,
[36, 63, 80]
Bioorganic & Medicinal Chemistry Letters, [62, 64, 72, 107]
[712]
Computers in Biology and Medicine,
[1141, 1142, 1144, 730,
1149, 741, 748, 760, 829, 1151, 99, 876, 1154, 903]
Computers in Cardiology,
[503]
[728]
Blood,
[42]
BMC Bioinformatics,
[164, 165, 722, 725, 805, 817]
BMC Cancer,
[749]
BMC Genetics,
[807]
Current Drug Discovery Technologies,
BMC Genomics,
[174, 180]
Current Medical Imaging Reviews,
[432]
[24]
Control Cybern. (Poland),
[947]
Control Engineering Practice,
[954]
Critical Care Medicine, [867, 1001]
Current Computer-aided Drug Design,
BMC Infectious Diseases,
[855]
Current Opinion in Biotechnology,
BMC Medical Genomics,
[177, 1127]
Current Science,
[1114]
Diabetes & Metabolism,
Die Pharmazie,
[88]
BMC Research Notes,
[839, 850]
DNA Research,
[740]
BMC Systems Biology,
[777]
Drug Discovery Today,
[122]
Brachytherapy,
[704]
Drug Discovery Today. Technologies,
British Journal of Cancer,
[851, 889]
Drug Testing and Analysis,
[105]
[1167]
Bull. Fac. Eng. Univ. Ryukyus (Japan),
[111]
Drug Metabolism and Pharmacokinetics,
[747]
British Journal of Psychology,
[38]
[390]
[1152]
British Journal of Clinical Pharmacology,
[877]
[696]
BMC Medicine,
Breast Cancer Research and Treatment,
[559]
[601]
Biotechnology Journal,
BMC Medical Informatics and Decision Making,
[271, 311,
326, 351, 365, 415, 416]
[1025]
[1020, 1021]
Bioorganicheskaia Khimiia,
[386, 488]
Computerized Medical Imaging and Graphics,
Biomedical Soft Computing and Human Sciences,
Bioorganic & Medicinal Chemistry,
[878]
Computer Methods and Programs in Biomedicine,
[382]
[543]
Bulletin of the Polish Academy of Sciences, Technical Sciences, [669]
[60]
[92, 100, 897, 112, 113, 114]
Ear & Hearing,
[645, 676]
Ear and Hearing,
[872]
Ecological Modelling,
[674]
Electronics Letters,
[470, 956, 541]
Endocrinology,
[662]
Cancer J. Sci. Am.,
[237]
Engineering Applications of Artificial Intelligence,
Cancer Letters,
[926, 950]
Engineering Optimization,
Cardiovascular Engineering,
Chaos,
[782]
Chem. Res. Toxicol.,
[994]
Environmental Health Perspectives,
[660, 348]
EURASIP Journal on Bioinformatics & Systems Biology,
[789]
[40, 41, 51, 55, 69, 71, 82,
86, 102]
Chemistry and Biology,
ChemMedChem,
Europace,
[657]
European Journal of Gastroenterology & Hepatology, [644]
[25]
Chemical Research in Toxicology,
[710]
EURASIP Journal on Advances in Signal Processing, [692]
Chemical Biology & Drug Design,
Chemical Innovation,
[435]
[403]
European Journal of Medicinal Chemistry, [34, 750, 409, 79]
[803]
European Journal of Operational Research,
[923]
European Journal of Orthodontics,
[732]
[682]
[828]
European Journal of Pharmaceutical Sciences,
Chemometrics and Intelligent Laboratory Systems,
[1009]
[50, 65]
Chemosphere,
[772]
Evidence-based Complementary and Alternative Medicine
: ECAM, [891]
Chin. Sci. Bull,
[140]
Expert Opinion on Therapeutic Patents,
Clinical EEG and Neuroscience,
Expert Systems with Applications,
[887]
[127]
[343, 869, 428]
Communications in Statistics - Theory and Methods, [366]
Forschung Komplementarmedizin Klass Naturheilkd, [234]
Comput. Biomed. Res. (USA),
Fortschrittsberichte der VDI-Zeitschriften,
[1085]
Comput. Methods Programs Biomed.,
[1027]
Computational and Mathematical Methods in Medicine,
[820, 873, 874, 880, 1155, 427, 894]
Frontiers in Genetics,
Frontiers in Physiology,
Gene,
[168]
[783]
[830, 896]
[554]
Journal articles
Genes & Nutrition,
11
[795]
Genetic Programming and Evolvable Machines,
[678, 687,
Int. J. Biomed. Comput. (Ireland),
688, 689, 339]
Genetics,
Int. J. Med. Inf.,
[158]
Genetics and Molecular Research,
Genomics,
[769]
[128]
Hum. Hered.,
[580]
Human Feredity,
International Journal of Biomedical Imaging,
[784, 892]
[941]
Huaxue Jinzhan,
[569, 993, 1014]
[1043]
International Journal of Computational Biology and Drug
Design, [108]
Healthcare Informatics Research,
Human Brain Mapping,
Int. J. Radiat. Oncol. Biol. Phys.,
[171]
[1079]
[583]
International Journal of Biological and Life Sciences, [550]
Health Care Management Science,
Health Physics,
Int. J. Artif. Intell. Neural Netw. Complex Probl.-Solving
Technol. (Netherlands), [974]
[844]
International Journal of Computational Intelligence and
Applications , [367]
International Journal of Computer Assisted Radiology and
Surgery, [865, 430]
[776]
International Journal of Computer Mathematics,
[658]
IEE Proceedings, Vision, Image, Signal Processing,
IEEE Computational Intelligence Magazine,
[454]
[395]
International Journal of Control,
IEEE Eng. Med. Biol., [458]
IEEE Engineering in Medicine and Biology,
[608, 540]
IEEE Transactions on Bio-medical Engineering,
[932]
International Journal of Environmental Research and Public Health, [888]
IEEE Engineering in Medicine and Biology Magazine, [244]
IEEE Transaction on Evolutionary Computation,
[248]
International Journal of Computer Science and Network Security, [334, 334]
[270]
International Journal of Geriatric Psychiatry,
[595]
International Journal of Health Geographics,
[695, 699,
700, 708, 762]
[394, 759,
International Journal of Healthcare Technology and Management, [709]
IEEE Transactions on Biomedical Engineering,
[1019,
1028, 1030, 1031, 1034, 1040, 1047, 1050, 1061, 1081, 1082,
1086, 1087]
International Journal of Imaging Systems and Technology,
IEEE Transactions on Evolutionary Computation,
International Journal of Injury Control and Safety Promotion, [883]
406, 802, 866, 1160, 871, 429, 906]
[258,
352]
IEEE Transactions on Fuzzy Systems,
[598]
IEEE Transactions on Image Processing,
[396]
[340]
International Journal of Medical Robotics and Computer
Assisted Surgery, [402]
International Journal of Medicinal Mushrooms,
IEEE Transactions on Image Processing : A Publication of
the IEEE Signal Processing Society, [791]
International Journal of Modern Physics C,
IEEE
International Journal of Neural Systems,
Transactions on Information Technology in
Biomedicine, [1022, 1023, 1035, 1046, 1051, 1058, 1088]
IEEE Transactions on Instrumentation and Measurement,
[314]
[731]
[249, 604]
International Journal of Molecular Medicine,
[387]
[898, 899]
International Journal of Radiation Oncology*Biology*Physics,
[626]
International Journal of Reconfigurable Computing,
IEEE Transactions on Magnetics,
[302, 354, 976]
IEEE Transactions on Medical Imaging,
[225, 264, 266, 275,
327, 1111, 400, 401, 455, 465, 498, 509, 531]
IEEE Transactions on Microwave Theory and Techniques,
International Journal of VLSI Design & Communication
Systems (VLSICS), [411]
International Journmal of Biological and Life Sciences,
[329]
International Orthopaedics,
[246]
IEEE Transactions on Nanobioscience,
IEEE Transactions on Neural Networks,
IEEE Transactions on Nuclear Science,
[846, 181]
[23, 240, 935, 959]
[984, 990]
IEEE Transactions on Speech and Audio Processing, [610]
IEEE Transactions on Systems, Man, and Cybernetics.
Part B, Cybernetics, [890]
IEEE/ACM Transactions on Computational Biology and
Bioinformatics,
[172, 46, 755, 756, 781, 796, 811, 87,
178, 886]
[345]
[834]
Iranian Journal of Basic Medical Sciences,
Iranian Journal of Public Health,
Irish Journal of Psychology,
[1166]
J. Chromatogr. B, Biomed. Sci. Appl.,
J. Clin. Neurophysiol,
[98]
[424]
[1024]
[1003]
J. Gerontol. A. Biol. Sci. Med. Sci.,
[577]
J. Inst. Electron. Eng. Korea S (South Korea),
J. Mol. Model.,
[21]
J. Neuroimaging,
[534]
[493]
IMA Journal of Mathematics Applied in Medicine and Biology, [1156]
Journal of Advanced Computational Intelligence and Intelligent Informatics, [370]
Image and Vision Computing,
Journal of Andrology,
[226, 256, 305, 321, 523]
Indian Journal of Experimental Biology,
Information Processing Letters,
[560]
[110]
[933]
Journal of AOAC International,
[816]
Journal of Applied Clinical Medical Physics,
[1095]
12
Genetic algorithms in medicine
Journal of Applied Physiology,
Journal of Molecular Modeling,
[715, 966]
Journal of Artificial Intelligence Research,
Journal of Biomechanics,
Journal of Neural Engineering,
[745, 808, 827]
Journal of Biomedical Engineering (Chinese),
Journal of Biomedical Informatics,
Journal of Biomedical Optics,
Journal of Biosciences,
[1036]
Journal of Neuroimmunology,
[800]
Journal of Chemical Biology,
[389, 822, 904]
Journal of Neuroscience Techniques,
Journal of Orthopaedic Research,
[159]
[693]
[705, 843]
Journal of Neuroscience Methods,
[1066, 179, 1075]
[1039, 1048, 1065, 1067]
Journal of Cellular Biochemistry,
[461]
[663]
Journal of Orthopaedic Research : Official Publication of
the Orthopaedic Research Society, [849]
[835]
[78]
Journal of Parallel and Distributed Computing,
Journal of Chemical Information and Computer Sciences,
[968]
Journal of Periodontal Research,
[285]
[862]
Journal of Pharmaceutical and Biomedical Analysis, [1059,
Journal of Chemical Information and Computing Science,
[137]
1060, 1072]
Journal of Pharmaceutical Sciences,
Journal of Chemical Information and Modeling,
[90, 95,
97, 109]
[634, 768]
Journal of Proteomics,
Journal of Clinical Neurophysiology,
Journal of Clinical Pharmacology,
[150]
[706]
[30, 33]
Journal of Computer-Aided Molecular Design,
[18, 19]
Journal of Computer-aided Molecular Design,
Journal of Craniofacial Surgery,
Journal of Digital Imaging,
[59, 81, 93]
[640, 664]
Journal of Vector Ecology,
Journal of Enzyme Inhibition and Medicinal Chemistry,
[49, 101]
[928]
Laryngoscope,
[691]
Journal of General Virology,
M. D. Comput. (USA), [924]
[856]
Journal of Insect Science,
Magnetic Resonance Imaging,
Journal of Integrative Bioinformatics,
[727]
Mathematical and Computer Modelling,
[337]
Journal of Mechanics in Medicine and Biology,
[825]
[1104, 1107]
Journal of Medical Entomology,
[1097, 310, 1098]
Journal of Medical Microbiology,
[1121]
[1099]
Journal of Medical Signals and Sensors,
[1109, 407, 1118,
1124, 422]
[1094, 1103, 385, 144, 1113,
1119, 1120, 418, 1126, 1128, 1129, 1130, 1131]
[438]
Journal of Microbiology and Biotechnology,
Journal of Microencapsulation,
Journal of Molecular Evolution,
Mathematical Biosciences,
Measurement Science & Technology,
Med Phys,
[56]
[815]
Journal of Molecular Graphics & Modelling,
[987]
Med. Dosim.,
[574]
Med. Eng. Phys.,
[1007]
Med. Image Anal.,
[491]
Journal of Molecular Graphics and Modelling,
Med. Phys.,
[1002]
Med. Phys. (USA),
[492]
[482, 512]
Medical & Biological Engineering & Computing,
[707]
[274,
1105, 1110, 1132, 1137, 1139]
Medical Engineering & Physics,
[32, 61]
[442, 452]
[665, 694, 701]
Med. Biol. Eng. Comput.,
Medical and Veterinary Entomology,
[188]
[697]
[156]
Med. Imaging Technol. (Japan),
Journal of Medical Systems,
Journal of Medicinal Chemistry,
[291]
MATCH – Communications in Mathematical and in Computer Chemistry, [131]
Journal of Medical Engineering & Technology,
Journal of Medical Physics,
[473, 524, 539]
Magnetic Resonance in Medicine,
[702]
Journal of Magnetic Resonance,
[504]
[638]
Lancet,
[322]
[58]
Jpn. J. Med. Electron. Biol. Eng. (Japan),
Journal of Experimental Psychology. Animal Behavior Processes, [1163]
[955]
[868]
[679]
Laboratory Investigations,
Journal of Healthcare Engineering,
[152, 160]
Journal of Young Pharmacists,
[751]
[882]
Journal of the Mechanical Behavior of Biomedical Materials, [1078]
Journal of Traditional Chinese Medicine,
[292]
Journal of Environmental Biology,
Journal of the Experimental Analysis of Behavior,
Journal of Theoretical Biology,
[737, 841, 425, 433]
Journal of Electronic Imaging,
[787, 836]
Journal of the American Mosquito Control Association,
[819, 842]
Journal of Computational Chemistry,
[752, 813]
Journal of Signal Processing Systems for Signal Image and
Video Technology, [384]
[848]
Journal of Computational Biology,
[91, 94, 106]
Journal of Pharmacokinetics and Pharmacodynamics, [57]
Journal of Proteome Research,
Journal of Chemometrics,
Journal of Heuristics,
[39, 47, 73, 74, 75]
Journal of Near Infrared Spectroscopy,
[921]
Medical Engineering and Physics,
Medical Image Analysis,
[273]
[1101]
[1089, 1090, 1108, 397, 1115]
[1138]
Journal articles
13
Medical Imaging Technology,
[376]
Medical Physics,
[1091, 1092, 1093, 268, 1096, 325, 1102,
1106, 412, 414, 1123, 1133, 1134, 464, 1135, 1136, 484, 499,
507, 1140]
Medicinal Chemistry,
Proceedings of the Institution of Mechanical Engineers.
Part H, Journal of Engineering in Medicine, [824]
Proceedings of the National Academy of Sciences of the
United States of America, [1158]
Progress in Electromagnetics Research,
[77]
Medicinal Chemistry Research,
[279]
Proteins: Structure, Function, and Genetics,
[115]
[937]
Proteomics,
[703]
Metabolic Engineering, [797]
Psychological Review,
[857]
Metabolites,
[786]
Psychometrika,
[997]
[653]
Quarterly Journal of Experimental Psychology,
Mem. Inst. Oswaldo Cruz,
Metabolomics,
[684]
Methods in Molecular Biology,
[765, 832, 881]
Methods of Information in Medicine,
[565, 1146, 637, 1000]
Microscopy Research and Technique,
Mol. Med. Today,
[413]
Robotica,
[163]
[393]
[48, 103]
[617]
SAR and QSAR in Environmental Research, [45, 54, 70, 852]
Molecular BioSystems,
[854]
Molecular Diversity,
[714, 37, 43, 116]
Scandinavian Audiology,
Science,
Molecular Ecology,
[167]
Molecules,
[52, 831]
[591]
[161, 162]
Scientia et Technica A˜
no,
Scientia Pharmaceutica,
[118]
Sensors,
[838]
[736]
[713, 68, 76, 104]
[1162]
Sensors (Basel, Switzerland),
Neural Computing & Applications,
Neural Networks,
Recent Research in Science and Technology,
Revista da Sociedade Brasileira de Medicina Tropical, [628]
Molecular Biology and Evolution,
Neural Computation,
[884]
[823]
Research in Pharmaceutical Sciences,
[989]
Nature-Structural Biology,
Radiation Protection Dosimetry,
[381, 431]
[723, 779]
[806]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi,
[353]
NeuroImage,
[287, 145, 404, 901]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue
Gongchengxue Zazhi, [1055, 1056]
Neuropsychobiology,
[944, 961]
Signal Processing,
Neurocomputing (Netherlands),
[977]
Nippon Kikai Gakkai Ronbunshu C Hen,
NMR in Biomedicine,
Nucl. Med. Commun,
Nucleic Acids Research,
Nursing Research,
[1063]
[738]
Spectrochimica Acta. Part A, Molecular and Biomolecular
Spectroscopy, [66, 837]
[999]
[810]
[675]
[720]
Sports Biomechanics,
[826]
SpringerPlus,
[420]
Statistical Applications in Genetics and Molecular Biology,
[734, 788]
[483]
Optics and Laser Engineering,
[651]
Pattern Analysis & Applications,
Pattern Recognition,
[739]
Spatial and Spatio-temporal Epidemiology,
Omics : A Journal of Integrative Biology,
Opt. Rev. (Japan),
[939]
[477]
Sleep & Breathing = Schlaf & Atmung,
[259]
Statistics in Medicine,
[785]
Stud. Health Technol. Inform.,
[1010]
Studies in Health Technology and Informatics,
[958]
Pattern Recognition Letters,
[304, 17, 481]
Systems and Computers in Japan,
[529]
Phys Med Biol,
[621]
Talanta,
Phys. Med. Biol.,
[594, 606, 992]
Technology in Cancer Research & Treatment,
[902]
The Analyst,
Physica Medica,
Physics in Medicine & Biology,
[584]
Physics in Medicine and Biology,
[1143, 602, 267, 615, 633,
746, 399, 775, 798]
Physiological Measurement,
[895]
PLoS Computational Biology,
PLoS ONE,
[685, 861]
[711]
PloS One,
[721, 35, 764, 792, 67, 809, 173, 818,
85, 176, 419, 147, 426, 1161, 182, 885, 893]
Proc. AMIA Symp,
[1008]
Proceedings of the Institution of Mechanical Engineers,
Part B: Journal of Engineering Manufacture, [655]
[821, 853]
[767, 870, 905]
[718]
[757]
The Australasian Medical Journal,
[1112]
The Indian Journal of Medical Research,
[1122]
The International Journal of Medical Robotics and Computer Assisted Surgery, [1100]
The Journal of Biological Chemistry,
[742]
The Journal of International Medical Research,
The Journal of Pharmacy and Pharmacology,
The Journal of Physiology,
[383]
[96]
[900]
The Journal of the Acoustical Society of America,
The Kaohsiung Journal of Medical Sciences,
The Scientific World Journal,
[410]
[494]
[1117, 1125]
14
Genetic algorithms in medicine
Theoretical Biology & Medical Modelling,
Therapeutic Drug Monitoring,
TheScientificWorldJournal,
Toxicology,
The University of Iowa, [650]
[1116]
[995]
The University of Michigan,
University of California, [117, 126]
[794]
Toxicology and Industrial Health,
[875]
University of Canterbury,
Trans. Inst. Electr. Eng. Jpn. C (Japan),
[908]
[686]
University of Minnesota, [557]
[860]
Virus Research,
[169]
Wall Street Journal,
[136]
Water Research,
[771]
[124]
University of Michigan, [610]
Vector Borne Zoonotic Diseases,
Virology Journal,
University of Georgia,
University of Louisville, [121]
[845]
Ultraschall in Der Medizin,
[323]
[975]
Transactions of the Royal Society of Tropical Medicine and
Hygiene, [636]
Trends in Amplification,
[918]
[864]
University of Pennsylvania,
[967]
University of Tampere, [257]
World Academy of Science, Engineering and Technology,
University of Vaasa,
[391]
[298]
World Journal of Cardiovascular Surgery,
World Journal of Gastroenterology,
Wayne State University, [911]
[859]
[724]
total 28 thesis in 24 schools
Yao Xue Xue Bao = Acta Pharmaceutica Sinica,
[833]
Zeitschrift f¨
ur Psychosomatische Medizin und Psychoanalyse, [909]
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae
Medicinae Sinicae, [716]
Zhonghua Gan Zang Bing Za Zhi = Zhonghua Ganzangbing
Zazhi = Chinese Journal of Hepatology, [744]
total 769 articles in 424 series
4.3
Theses
[571]
´
Ecole
Polytechnique F´
ed´
erale de Lausanne,
Case Western Reserve University,
Drexel University,
[929]
Duke University,
[236]
Gazi University,
[659]
Louisiana State University,
Purdua University,
This list includes also “Diplomarbeit”, “Tech. Lic.
Theses”, etc.
Rice University,
[444]
University of Kuopio,
[952]
West Virginia University,
[609]
[619, 295, 297]
[15]
Report series
The following list contains references to all papers published as technical reports. The list is
arranged in alphabetical order by the name of the
institute.
Departamento de Engenharia Eltrica,
Helsinki University of Technology,
[668, 342]
[14]
Katholieke Universiteit Leuven,
Queen’s University at Kingston,
[22]
[596]
State University of New York at Buffalo,
Tampere University of Technology,
[281]
[125]
University of Vaasa,
[1018]
total 5 reports in 5 institutes
[377]
[936]
[690]
[129]
University of New Brunswick,
Rijksuniversiteit Groningen,
[654]
total 4 thesis in 4 schools
4.4
PhD theses
?,
Master’s theses
Chalmers University of Technology,
The following two lists contain theses, first PhD
theses and then Master’s etc. theses, arranged in
alphabetical order by the name of the school.
4.3.1
4.3.2
Patents
4.5
15
Patents
The following list contains the names of the
patents of genetic algorithms in medicine. The
list is arranged in alphabetical order by the name
of the patent.
Apparatus and method for determining optimal locations
to place radioactive seeds at a cancerous site, [572]
Gabor filtering for improved microcalcification detection in
digital mammograms, [245]
Genetic algorithms for optimization of genome-based medical diagnostic tests, [680]
Joint optimization of parameters for the detection of clustered microcalcifications in digital mammograms,
[265]
Method and system for automated detection of clustered
microcalcifications from digital mammograms, [533]
Method and system for combining automated detections
from digital mammograms with observed detections
of a human interpreter, [243]
Method and system for segmentation and detection of microcalcifications from digital mammograms, [247]
Method and system for segmenting desired regions in digital
mammograms, [239]
Optimal parameter selection fir the detection of clustered
microcalcification in digital mammograms, [262]
Optimum solution method, hearing aid fitting apparatus
utilizing the optimum solution method, and system optimization adjusting method and apparatus,
[600]
Prostate implant planning engine for radiotherapy,
total 11 patents
[603]
16
Genetic algorithms in medicine
Authors
4.6
17
Authors
The following list contains all genetic algorithms in medicine authors and references to their known
contributions.
Abbotts, R.,
Aguilar, J.,
[747]
Abdelwahab, Nada S.,
[816]
Abdula, Ahmed Mutanabbi,
Abdullah,
[33, 47]
Wan Ahmed K. Wan,
[520]
Almasganj, Farshad,
Aguilar, R.,
[210, 1037]
Ahmad, Fadzil,
[1128]
Al-Nadaf, Afaf H.,
[32]
Ahmad, Sabbir U.,
[581, 1049]
Al-Najjar, Belal O.,
[34]
[100, 113]
Alolfe, Mohamed A.,
[313]
Alolfe, Mohammed A.,
[329]
Alqtaishat, Saja,
[93]
Al-Rawi, Mohammed,
[1041]
Alvarez, Daniel,
[1115]
[1064]
Ahmadi, T.,
Abdullah-Al-Mamun,
Khondaker,
Ahmadi-Roudi, Behzad, [767]
[904]
Abdul-Wahid,
Christopher
Badi’,
Ahmad Noruddin, Nur Adelina,
[34]
[46]
Ahmed, M. N.,
Abdul-Wahid, Sarah,
Abel, David L.,
Abolfath, R. M.,
Abramavicius, D.,
Abu Khalaf, Reema,
Accornero, N.,
Ahmed, Mohamed N.,
[479]
Ahmed, S.,
[479]
Ahmed, Z.,
[1112]
Ahrabian, H.,
[814]
Aikimbayev, Alim,
[711]
Ainon, Raja Noor,
[1113]
Ait-Aoudia, Samy,
[333, 349]
Aizenberg, I.,
[256]
Aizenberg, N.,
[256]
Amin, H.,
[326]
Akhtari, M.,
[461]
Amirzadi, Azardokht,
[422]
Akyuz, Lalehan,
[101]
Ammar, Hany,
[16]
Alam, M. S.,
[1110]
Amols, Howard I.,
[1095]
Analoui, Mostafa,
[17]
Alves Hon´
orio, Nildimar, [679]
[1116]
[701]
[758]
[1158]
[47]
[551]
Acharya, R. S.,
[199, 917]
Acharya, U. R.,
[908]
Achim, Moise,
[613]
Acree, William E. Jr,
[953]
[46]
Abraham, Mannil Thomas,
[748, 1154]
Al-Mulla, Mohamed R., [1108]
Aly, Nabil M.,
[339]
Amari, Sun-ichi,
[552]
Amaritsakul, Yongyut,
[894]
Amaro, Ana,
[1076]
Amburn, Philip,
[239, 243,
247, 262, 533]
Ames, Forrest,
[368, 195,
1048]
[65]
Adamec, J.,
[194]
Adamopoulos, A. V.,
[607, 618]
Adamopoulos, Adam,
[723, 853]
Adankon, Mathias M.,
[871]
Alavikia, Zahra,
[1124]
Anastasio, M. A.,
[492, 531]
Adhikari, D.,
[696]
Alay´
on, S.,
[210, 1037]
Anastasio, Mark A.,
[206]
Adhikari, Nilanjan,
[877]
Al-Azzawi, Nemir,
[1064]
Anastassopoulos, George,
Adiamah, Delali A.,
[786]
Albani, C.,
[943, 978]
Anbarasu, L. A.,
[187]
Adjemian, J. C. Z.,
[310]
Albertelli, L.,
[979]
Andalib, Elham,
[880]
Adjeroh, Donald,
[16]
Alderliesten, Tanja,
[656]
Anderson, Jonathan D., [692]
Adler, Dorit D.,
[464, 940, 507]
Alektiar, K. M.,
[569]
Anderson, Julie,
Alander, Jarmo T.,
[693, 347,
548, 549, 1016, 1017, 1018]
Anand, Christopher Kumar,
[1043]
[723, 853]
[368, 195,
1048]
Afarideh, Hossein,
[823]
Alghisi, Federico,
[787]
Afifi, Ahmed,
[376]
Algoul, S.,
[1110]
Afrasiabi, Mahlagha,
[407]
Al-Horani, Rami A.,
[79]
Afshari, Elnaz,
[879]
Ali, Fath El Alem Fadlallah, [487, 543]
Agarwal, Shilpi,
[767]
Ali, Fath El Alem F.,
[497]
Andonie, Razvan,
[46]
Ali, Hamed I.,
[58]
Andrews, B. J.,
[1007]
Al-Ijel, Hebah,
[61]
Andris, Peter,
[506]
Aghamohammadi, Hasan,
[424]
Aghamohammadi, Hossein,
[424]
Anderson, R. W.,
[183]
Anderson, William S.,
[866]
Andersson, L.,
[158]
Andersson-Engels, Stefan,
[780]
Aghbashlo, Mortaza,
[815]
Alkhalifa, A. Y.,
[202]
Anekboon, Khantharat, [903]
Aguilar, Guillermo,
[1039]
Allen, S. J.,
[827]
Angel, Pedro L. de,
[260]
18
Genetic algorithms in medicine
Angeles, Jorge,
[802]
Azar, Ahmad Taher,
[1074]
Barrios, Victor,
Angeletti, Cesar,
[638]
Aze, Jerome,
[764]
Barros de Aguiar, Ducin´
eia, [679, 684]
Angeline, Peter J.,
[981, 988]
Azmi, Reza,
[422]
Barry, A. M.,
[1166]
[446]
[223, 224]
Anger, Lennart T.,
[63]
Azok, Joseph,
[703]
Bartenstein, P.,
Ankley, Gerald T.,
[174]
Baba, Roshidad,
[774]
Bartholomay, Lyric C., [702]
Annane, Djillali,
[867]
Babu, Sainath,
[84]
Bartlett, Karen,
[710]
Anninos, P. A.,
[607, 618]
Badea, Radu,
[753]
Baskar, Gurunathan,
[731]
Anon.,
[120, 136]
Bael, P. Van,
[586]
Baskent, Deniz,
[676]
Antonets, Denis V.,
[850]
Bagchi, Manish C.,
[51]
Bast, T.,
[1003]
Bast, Thomas,
[150]
Bates, Paul A.,
[42]
Bates, S.,
[1112]
Bath, P. A.,
[577]
Bathen, Tone F.,
[1063]
Ant´
onio, Carlos Concei¸c˜
ao,
[808]
Anxolab´
eh`
ere, Dominique,
[160]
Bai, Baodong,
[354]
Bai, Li,
[835]
Ao, Lu,
[889]
Bai, Lihua,
[864]
Aoki, Mikio,
[794]
Bajcsy, Ruzena,
[773]
Aoki, Shunsuke,
[109]
Baker, J. A.,
[469]
Arafuka, M.,
[914]
Baker, Philip N.,
[653, 752]
Arakaki, Kouichi,
[472, 483]
Bakhshali, Mohamad Amin,
Ar´
ambula Cos´ıo, F.,
[625]
Bakhtiari, Mohammad, [1099]
Archetti, Francesco,
[678]
Bakken, Russell R.,
[818]
Archibald, James K.,
[692]
Baldi, Fabio,
[644]
Arciniegas, Fabio,
[26]
Baleja, James D.,
[942]
Balestra, Gabriella,
[825]
Battezzato, Alessandro, [1100]
Arif, M.,
[317, 334,
[1118]
334, 338, 340, 350]
Ballerini, Lucia,
Arif, Muhammad,
[212, 624,
293, 296, 502, 530, 544, 546, 547]
[396]
Arnardottir, Helga Bjork,
[788]
Baltas, D.,
[612, 614,
1140, 1002]
Arnold, Mark A.,
Arus, C.,
[1097]
Baum, K. G.,
[737]
Baum, Karl G.,
[312, 328, 344]
Baumgart-Schmitt, R.,
[944, 961]
Bavilacqua, A.,
[249]
Baylink, D. J.,
[989]
Bazhan, Sergei I.,
[850]
Beatty, P. C. W.,
[578]
Becker, Kay,
[912]
Beckerman, Barbara G., [698]
[973]
Arslanian-Engoren, Cynthia,
Bauer, J. T.,
Baltazar, Rosario,
[806]
Beckett, L.,
[310]
Baluja, S.,
[974]
Beebe, N. W.,
[1097, 674]
Bamer Natavan, Zahra, [875]
Belani, Chandra P.,
[57]
Band, Beatriz Fernande, [870]
Beli¨
en, Jeroen,
[690]
Bandaru, Sunith,
[369]
Beligiannis, G. N.,
[607, 618]
Bandholtz, Sebastian,
[85]
Beloufa, Fayssal,
[1070]
[675]
[456]
Asadabadi, Ebrahim Barzegari, [883]
Asadollahi, Tahereh,
[52]
Asadollahi-Baboli, M.,
[70]
Ashayer, Sahar,
[823]
Askari, Mansur,
[823]
Asvestas, P. A.,
[268]
Bandyopadhyay, Sanghamitra,
Ataullakhanov, Fazoyl I.,
[35]
886]
Bandyopadhyay, Somnath,
[789]
Banghua, Yang,
[320]
[87,
Benavent, Antonio Penalve,
Benche, I.,
[290]
Bencic, David,
[174]
Bendahl, Par-Ola,
[858]
Aukee, Pauliina,
[982]
Bansal, A.,
[1156]
Benedetti, Manuel,
[314]
Aung, Min S. H.,
[1047]
Banzhaf, Wolfgang,
[258]
Benedict, Mark Q.,
[686]
Auramo, Yrj¨
o,
[591]
Bardossy, Gergely,
[730]
Benezeth, Y.,
[799]
Austin, E. M.,
[655]
Barik, S. K.,
[696]
Ben-Jacob, Eshel,
[809]
Autere, Antti,
[693]
Baringhaus, Karl-Heinz, [63]
Bennett, Kristin P.,
[26]
Aviv, Amit,
[822]
Barker, Grant I.,
[46]
Bennett, Kristin,
[27]
Aylward, S.,
[191]
Baroni, Guido,
[878]
Ben-Shalom, Roy,
[822]
Azam, Faizul,
[58]
Baronti, Flavio,
[166]
Berg, Patrick,
[150]
[419]
Authors
19
Berg, P.,
[1003]
Bofin, Anna,
[1063]
Brezocnik, Miran,
[657]
Bergen, Stuart W. A.,
[1049]
Bogacz, Rafal,
[900]
Brezovich, Ivan A.,
[704]
Berger, Martijn P. F.,
[776]
Bogdan, Malgorzata,
[788]
Briceno, Javier,
[1153]
[1121]
Broadhurst, David I.,
[752]
Bogolyubov, Alexey A., [35]
Brooijmans, Natasha,
[28]
Bohle, Kathrin,
[728]
Brors, Benedikt,
[886]
Boisvert, Michel R.,
[812, 840]
Broschat, Shira L.,
[792]
Bojan, Vinoth Kumar,
[146]
Bojarczuk, Celia C.,
[620]
Browder, Kathy,
[688]
Bolboaca, Sorana D.,
[102]
Brown, J. Q.,
[649]
Bonelli, Pierre,
[553]
Brown, J. Quincy,
[426]
Bong, Chin Wei,
[403]
Brown, Marie,
[752]
Bonnet, A. S.,
[1073]
Brown, Richard,
[1134]
Berkey, Telford S.,
[239, 243,
Boggs, Sarah R.,
247, 262, 533]
Bernardes, Joao,
[1127]
Bernardo, Marcelino,
[414]
Bernaschi, Massimo,
[1144]
Bernauer, Julie,
[764]
Bertrand, Louise,
[301]
Bes, F.,
[944]
Best, J. A.,
[662]
Bevilacqua, A.,
[604]
Bevilacqua, V.,
[294]
Bevilacqua, Vitoantonia, [378]
Bezerianos, A.,
[221]
Bhat, Ajita Atul,
[124]
Bhat, Shekara, C. Chandr,
[830]
Bhatia, Manish S.,
[76]
Bhatt, Hardik G.,
[64]
Bhattacharya, Mahua,
Booth, V.,
[977]
Brown, T.,
[706]
[712]
Brudermann, U.,
[554]
Bosman, Peter A. N.,
[656]
Brueckner, Adrian,
[652]
Bot, Corina T.,
[783]
Brugger, S.,
[1071]
Brunauer, Leonhard,
[331]
Brunner, Stephen,
[1099]
Brunsdon, Chris,
[708]
[926, 947,
981, 988]
Bouma, Brett E.,
[330, 381,
[886]
[239, 243,
245, 247, 262, 265, 533]
Borovskaia, A. D.,
Boughton, Edward M.,
388, 398]
Bhattacharyya, Malay,
Broussard, Randy P.,
[660, 348]
Bourgeois-Republique, C.,
[639]
Brusic, Vladimir,
[135]
Bourgeois-Republique, Claire,
[687]
Bulgiba, Awang,
[1113]
Bourgeois-R´
epublique, Claire,
[375]
Burlinson, S.,
[595]
[714, 771]
Bourquard, Thomas,
[764]
Burman, Jerry A.,
[526]
[1150]
Bower, M.,
[1004]
Burnham, K. J.,
Biales, Adam,
[174]
Braaten, Øivind,
[157]
Bickel, Arthur S.,
[1141]
Braaten, O.,
[1027]
Bickel, Riva Wenig,
[1141]
Brameier, Markus,
[258]
Bidaud, Philippe,
[269]
Brandt, Carlos A.,
[39]
Bies, Robert R.,
[57]
Brasacchio, J. B.,
[1014]
Bigdeli, H.,
[970, 983]
Brasacchio, R. A.,
[993]
Bijar, Ahmad,
[419]
Brauer, Matthew J.,
[163]
Bindl, G.,
[1020]
Bredno, Joerg,
[235]
Bini, M.,
[510]
Breinig, M.,
[665]
Blackburn, Jason K.,
[681, 711]
Brendel, Bernhard,
[352]
Caballero-Morales,
Breneman, Curt M.,
[26]
Bhattacharyya, Shuvra S.,
Bhhatarai, Barun,
Bi, Chengpeng,
Blackburn, Jason Kenna,
[345, 360]
[668]
[919, 934,
954, 971]
Burns, A.,
[595]
Burns, David H.,
[812, 840]
Burrezo, S.,
[592, 599]
Bursell, E. S.,
[290]
Burton, Dean,
[743]
Buscema, Massimo,
[644]
Butte, Atul J.,
[1152]
Butylin, Andrey A.,
[35]
Caballero, Julio,
[43]
Santiago-Omar,
[1155]
Cabrera-Perez, Miguel Angel,
Bladen, K. R.,
[253]
Breneman, Curt,
[23, 27]
Blanchet, Max,
[552]
Brener, Nathan,
[384]
Blazewicz, Jacek,
[907]
Brennan, Marie-Luise,
[703]
Bloy, Luke,
[335]
Bressloff, Neil W.,
[754]
Cai, Hai-yan,
[53]
Bocchi, L.,
[212, 624, 296]
Brest, J.,
[583, 1010]
Cai, H.,
[559]
Bod´
en, Ida,
[548, 549]
Breuer, Arnon,
[1145]
Cai, Jian-Fang,
[716]
Cadieux, S.,
[90]
[474]
Cagnoni, Stefano,
[689, 916,
1081, 523]
20
Genetic algorithms in medicine
Cai, Wenli,
[1111, 416]
Cerdan, S.,
[456]
Chen, Jiakai,
[834]
Cai, Xi,
[868]
Ceres, Ramon,
[1077]
Chen, Jiann-Jone,
[436]
Cajko, Frantishek,
[1160]
Cestari, Renzo,
[644]
Chen, Jianquan,
[140]
Calafate, Carlos T.,
[869]
Cevik, A.,
[673]
Chen, Jiejing,
[1122]
[893]
Caldwell, Craig,
[1167]
Cha, Kyung-Joon,
[1117]
Chen, Jinxia,
Callaghan, Vic,
[806]
Cha, Soonmee,
[773]
Chen, Kaixian,
[128]
Calonaci, Cristiano,
[1114]
Champion, H.,
[1106]
Chen, L. Leon,
[866]
Chan, Christina,
[856]
Chen, Liangbiao,
[648]
Chan, Heang-Ping,
[457, 464, 940]
Chen, Li-Li,
[836]
Chan, Kelvin,
[1072]
Chen, Mingyang,
[430]
Chan, Yung-Kuan,
[402]
Chen, Peiqi,
[874]
Chanda, B.,
[332]
Chen, Qiu-Yan,
[1065]
[308]
Chen, Ran,
[768]
Chen, Rong-Tai,
[402]
Chen, Shanshan,
[890]
Chen, Ta-Cheng,
[995]
Chen, Wei,
[147]
Chen, Wen-Chin,
[130]
Chen, Wen-Pin,
[691]
Chen, Xiao Yu,
[891]
Chen, Xiaofen,
[834]
Chen, Xiao-Lu,
[833]
Chen, Xiaowen,
[769]
Chen, Yazhu,
[303]
Cameron, George G.,
[454, 468,
477, 958, 488]
Campanini, R.,
[249, 604]
Campbell, J. A.,
[536]
Campo, Felix De,
[1115]
Canal, M. Rahmi,
[144]
Chandy, D. Abraham,
Candavelou, Manimozhi, [844]
Chang, Hsueh-Wei,
[720, 1125,
Cannings, C.,
[1156]
Cano, Juan-Carlos,
[869]
Chang, R.,
[928]
Canseven, A. G.,
[673]
Chang, Shih-Fu,
[703]
Cao, Hua,
[342, 359, 384]
Chang, Siow-Wee,
[758]
Cao, Maria D.,
[1063]
Chang, Susan M.,
[773]
Cao, Wenhua,
[1123]
Chang, Yuan-Hsiang,
Caorsi, Salvatore,
[246]
Capozza, M.,
[551]
Cardoen, Brecht,
[690]
Carlborg, O.,
[158]
Carlsson, Lova,
[654]
Carmack, Patrick S.,
[785]
Carnahan, B. J.,
[962]
178]
[985, 986,
1011, 1013, 542, 545]
Chao, C. L.,
[655]
Chao, Ching-Kong,
[663, 894]
Chao, Chun Cheih,
[722]
Chao, Yuyan,
[370]
Chapman, Brian E.,
[394, 417]
Chapman, Christopher Neal,
Carpaneto, Jacopo,
Carpenter, T. A.,
[571]
[589, 1096,
938, 941]
Chen, Yen-Hung,
[218]
Chaturvedula, Ayyappa, [848]
Chen, Yen-ting,
[514, 540]
Chau, Tom,
Chen, Yen-Wei,
[1105]
[735]
[442, 452,
473, 524]
Chen, Y.,
Chaves, Rui,
[808]
[466, 472,
483, 487, 490, 497, 543]
Chen, Yi,
[368, 195,
Carroll, D. L.,
[499]
Chen, Ai-ting,
[726]
Carvalho, P. d,
[1057]
Chen, Bae-Horng,
[459]
Chen, Yihan,
[864]
Carvalho Filho, Antonio Oseas, [434]
Chen, Beibei,
[889]
Chen, Yuehui,
[1151]
Casta˜
neda, Miguel A. Padilla,
Chen, Biyun,
[855]
[611]
1048, 390]
Chen, Yuelei,
[62]
Castellano, Pilar,
[260]
Chen, Chien-Cheng,
[130]
Chen, Yu-Jung,
[720]
Castellanos, N. P.,
[284]
Chen, Chuchu,
[768]
Chen, Zhongxue,
[177]
Castiglione, Filippo,
[1144]
Chen, Ding-Horng,
[217]
Cheng, G.,
[585]
Castro, Catarina F.,
[808]
Chen, Gongxing,
[1152]
Cheng, Heng-Da,
[218]
Castro, Jesus Silva,
[927]
Chen, Hongmei,
[864]
Cheng, J. C. Y.,
[244]
Catalogna, Merav,
[809]
Chen, Houjin,
[324]
Cheng, Jian,
[180]
Cazares, Lisa H.,
[1121]
Chen, Hsiang-Yin,
[995]
Cheng, Kuo-Sheng,
[459]
Celi, Leo A.,
[859]
Chen, Hui,
[719, 99]
Cheng, Kuo-sheng,
[514, 540]
Celi, Leo Anthony,
[867]
Chen, J. D. Z.,
[486]
Cheng, Shu-Chen,
[1035]
Authors
Cheng, Yuh-Min,
21
[1032]
Cheng, Yu-Huei,
[781, 1125,
Chung, Hyun-Tai,
[902]
Correa, Esteban M.,
[736]
Cilingir, Gokcen,
[792]
Correia, Mauro M.,
[382]
Cosio, C. F.,
[987]
[1105]
Co¸skun, Aysun,
[659]
Ciuca, I.,
[215]
Cos´ıo, Fernando Ar´
ambula,
Clague, J. E.,
[577]
Costa, Lino,
[1077]
Costard, Anne D.,
[168]
Cotrutz, C.,
[621]
Coutinho, M.S.,
[948]
Crampton, Jason,
[336]
Craw, Susan,
[743]
Crilly, Paul B.,
[555]
Cristea, A.,
[215]
Crozier, Stuart,
[746]
839, 181]
Cinsdikici, Muhammed G.,
[435]
Cheng, Zhi-Bin,
[835]
Cheriet, Farida,
[871]
Chettri, A.,
[696]
Chetty, Madhu,
[172, 817]
Cheu, Wen-Chin,
[119]
Cheung, R.,
[325]
Clark, David E.,
[131, 138]
Chew, Lita,
[749]
Clark, Kevin Patrick,
[126]
Chi, Hanlin,
[140]
Clark, Taane G.,
[658]
Chiacchio, Ferdinando,
[1114]
Clarke, L. P.,
[1083, 534]
Chiang, Cheng-Yu,
[1162]
Clarke, Laurence P.,
[463]
Chihab, Najat,
[871]
Clavel, Jacqueline,
[762]
Chikh, M. A.,
[1070]
Clegg, J.,
[798]
Clement, Greg T.,
[267]
Clemmer, D. E.,
[813]
Chippindale, Adam K., [162]
Clifford, Gari D.,
[867, 906]
Chitre, Yateen,
[455]
Coen, Muireann,
[765]
Chiu, Hung-Wen,
[739]
Cohen, A.,
[521]
Chiu, Ming-Jang,
[147]
Cohen, Eyal,
[809]
Curtis, Andrew Thomas, [1043]
Cho, Sung Jin,
[123]
Cohen, G.,
[237]
Curtis, Andrew,
[681]
Choi, Bernard,
[1039]
Colaninno, A.,
[294]
Curzen, Nick P.,
[754]
Choi, Chulhee,
[380]
Coley, D. A.,
[539]
Cutler, Gene,
[648]
Choi, H.,
[325]
Collet, Pierre,
Cytowski, Jerzy,
[475]
Choi, Tae-Sun,
[413]
Czarnecki, C. A.,
[453]
Chong, Chiet Sing,
[664]
D’Addabbo, A.,
[294]
Dadfarnia, Shayessteh,
[52]
Ciofani, Gianni,
Claridge, Ela,
Chikh, Mohamed Amine,
Chilov, Ghermes G.,
[1107]
[59]
[280, 282,
283, 289]
[288, 639,
687, 375]
Chongstitvatana, Prabhas,
Choonara, Yahya E.,
Chou, You-Li,
Colley, M.,
[1108]
Collins, Matthew J.,
[804]
[431]
Collins, Steve M.,
[448, 465, 230]
Colombetti, Marco,
[201]
Comber, Alexis J.,
[708]
Comely, Richard,
[910, 437]
Congdon, Clare Bates,
[918]
[106]
[1032]
Choudhari, Prafulla B., [76]
Chow, Chi Kin,
[252]
Choyke, Peter L.,
[414]
Christini, David J.,
[783]
Chu, C.,
[666]
Chu, Na,
[891]
Connor, Christopher W., [267]
Constantin, Alexandra, [773]
Chuang, Chih Yuan,
Cruz-Ramirez, Manuel, [1153]
Cui, Lizhi,
[874]
Cui, Yaoyao,
[1031, 980]
Cull, A.,
[1106]
Cunxi, Chang,
[372]
Curran, Tim,
[404]
Dagdeviren, Zuleyha Akusta,
[435]
Dai, Chunni,
[196]
Dai, Jianrong,
[584]
Dai, Yong,
[1122, 834]
Dai, Zong,
[836]
da Costa Filho, Paulo A.,
[597]
da Costa Gurgel, Helen, [679, 684]
Cook, Robert G.,
[1163, 1164]
Cooper, R. D.,
[1097, 674]
Coppel, Ross,
[817]
Copur, Fatih,
[36]
[739]
Chuang, Li-Yeh,
[720, 741,
781, 807, 1125, 839, 842, 178, 181]
[611]
Dale, Brian M.,
[291, 295]
D’Alessandro, Brian,
[400, 401]
D’Alessandro, Maryann, [1034]
Daliri, Mohammad Reza,
Chuang, Yung Jen,
[722]
Cordes, Dietmar,
[404]
Chui, Chee-Kong,
[865]
Cord´
on, Oscar,
[304, 321, 386]
Chun, Se-Hak,
[770]
Cornett, Ben,
[789]
Correa, Elon,
[725]
[1119, 418]
da Silva, Fernando Jose Mateus, [727]
Damas, Sergio,
Chung, Bevan Kai-Sheng,
[777]
[304, 321,
322, 386, 395, 421, 432]
Dandekar, Omkar,
[345, 360]
22
Genetic algorithms in medicine
Dandekar, Thomas,
[601]
Demoury, Claire,
[762]
Doorn, Nienke L. va,
[804]
Dansereau, Jean,
[871]
Deng, Youping,
[177]
Dorado, Julian,
[462]
Denton, Brian T.,
[784]
Douglas, T. S.,
[274, 495]
Darbandi, Mohammad Ali,
[104]
Darby, I. B.,
[862]
Desai, D.,
[665]
Douglas, Tania S.,
[513]
Darenfed, Salah,
[198]
Desai, Umesh R.,
[79, 107]
Douguet, Dominique,
[18]
Dargahi, Javad,
[802]
Deshmukh, A. Y.,
[411]
Doyle 3rd, Francis J.,
[715]
Darwish, Hany W.,
[66]
Deshmukh, C. N.,
[371]
Doytchinova, Irini,
[91, 94]
Deshpande, Shreekant,
[49]
Drake, Richard,
[1121]
Dr´
eo, Johann,
[311, 364]
Dries, Laurie A.,
[163]
Drosos, Georgios,
[853]
Du, Fuli,
[601]
Du, Gang,
[1129]
Du, Jiang,
[885]
Du, Juan,
[40]
Duan, Huilong,
[505]
Dubel, Stefan,
[728]
Duca, J. S.,
[994]
Dias Vasconcelos, Sim˜
ao, [679, 684]
Duerk, Jeffrey L.,
[291]
Dillon, N.,
[442, 452, 473]
Dumont, Georges,
[269]
Di Martinelly, C.,
[661]
Dunn, Warwick B.,
[653, 752]
Dimarki, T.,
[578]
Duraipandian, Shiyamala,
Dimiziani, Leopoldo,
[787]
Durant, E. A.,
[610]
Dinevski, D.,
[383]
Durant, Eric A.,
[610]
Ding, Qing,
[973]
Durbin, Dennis R.,
[576]
Dinov, Ivo D.,
[327]
Dutta, P. K.,
[305]
Delgado Atencio, Jose Alberto, [1069]
Diong, B.,
[632]
Dutta, Pranab K.,
[755]
Delibasis, Konstantinos K.,
Distefano, G.,
[551]
Duvic, Madeleine,
[627]
Dixit, Swati R.,
[411]
Dwayne, Harlan J.,
[84]
Das, Arpita,
[330, 381,
388, 398]
Desimo, Martin P.,
[239, 243,
Das, Shiva K.,
[694]
Dasgupta, Suman,
[332]
Devcic, Zlatko,
[691]
Dashtbozorgi, Zahra,
[65]
Devogelaere, D.,
[586]
Datz, F. L.,
[925]
Devogelaere, Dirk,
[27]
David, E.,
[567]
Dexter, Tim,
[851]
David, Florian,
[728]
Dhaenens-Flipo, Clarisse,
Davies, B. L.,
[987]
Dhar, Sulochana,
Davoodi, R.,
[1007]
Dhawan, Atam P.,
Dean, David,
[1093, 626]
Deb, Kalyanmoy,
[369]
247, 262, 533]
[623]
[426]
[351, 400,
401, 439, 455, 556, 228]
Diao, Xiaodi,
Deckers, Jozef,
[695]
DeGroote, John P.,
[702]
Dehmeshki, Jamshid,
[326]
Dekker, L. V.,
[747]
de Ara´
ujo, Aurigena Antunes,
De Chierico, Federica,
[757]
[1059,
1060]
de Arruda, M´
ercia Eliane,
[1129]
[679, 684]
[787]
[254,
268, 440, 454, 468, 477, 958, 488,
969, 1088]
De Iorio, Maria,
[658]
Dobrzeniecki, A. B.,
[916, 523]
Dybowski, R.,
[928]
Del Angel, P. L.,
[284]
Doerner, Karl,
[682]
Dye, John M.,
[818]
Dogrusoz, Yesim Serinagaoglu, [1132]
Dyke, J.,
[237]
Doi, K.,
[460, 492]
Ebadi, Ahmad,
[74]
Dokur, Z.,
[516, 541]
Ebbels, Timothy M. D., [765]
Dokur, Z¨
umray,
[1033, 276]
Eberhart, Russell C.,
[222, 515]
Dominici, Patrizia,
[644]
Eberl, Stefan,
[357]
Donelli, Massimo,
[314]
Echauz, Javier,
[1034]
Dong, Huiqing,
[800]
Edelvik, Fredrik,
[148]
de Lima,
Kassio Michell Gomes,
[1060]
de Moya, Marc,
[416]
de Oliveira Neves, Ana Carolina,
[1059, 1060]
Delp, Edward J.,
[17]
de Paiva, Anselmo Cardoso,
de Sampaio, Wener Borges,
[434]
[434]
Delsanto, P. P.,
[494]
Dong, Jinxiang,
[319]
Eden, Patrik,
[858]
Delzell, Darcie A. P.,
[785]
Dong, Ling,
[763]
Edirisinghe, C. D.,
[199, 917]
Demeulemeester, Erik,
[690]
D’Onofrio, David J.,
[1116]
Edraki, Najmeh,
[71, 74]
Demiris, E. N.,
[607, 618]
Dony, Robert D.,
[192]
Edwards, Brent,
[676]
Authors
23
Egorin, Merrill J.,
[57]
Fang, Liang,
[423]
Fischer, Andrew H.,
[638]
Eiler, Cheryl L.,
[676]
Fang, Yuotong,
[302]
Fischer, Gary W.,
[995]
Eilers, R.,
[944, 961]
Farag, Aly A.,
Fischer, P. M.,
[747]
Fischer, William M.,
[818]
[278, 479,
953, 481, 511, 537]
Eils, Roland,
Ekbal, Asif,
[886]
Farag, Aly,
[522]
Farf´
an, J.,
[592, 599]
Farman, Allan G.,
[537]
Fisher, B. J.,
[420]
El-Baz, Ayman,
[278]
Eldeib, Ayman M.,
[522]
Elketroussi, Mehdi,
[1079, 557]
Elkhaled, Adam,
[773]
Farmany, Abbas,
Elkorany, Abeer Mohamed,
[1074]
[92, 897, 112,
114, 115]
[442, 452,
473, 524]
Fisher, M. H.,
[919, 934]
Fishman, Sigal,
[809]
Fitzgerald, Matthew B., [872]
Farrall, Martin,
[658]
Fasinu, Pius,
[106]
Fitzpatrick, J. Michael, [225, 204]
Fiveash, John B.,
[704]
El-Kwae, Essam A.,
[498]
Fassihi, A.,
[103]
Ellis, David I.,
[653]
Fassihi, Afshin,
[41, 81]
Elmekkawy, Ty,
[1112]
Fatemi, Mohammad H., [772]
Elsen, Jean-Michel,
[168]
Fathi, Madjid,
[912]
Elshazly, Hanaa Ismail, [1074]
Faulkner, Graeme,
[443]
Elveren, Erhan,
[1103]
Fei, H.,
[666]
Embrechts, Mark J.,
[26, 27]
Feiglin, Ariel,
[316]
Embrecths, Mark J.,
[23]
Feiglin, David H.,
[328]
Fogel, Lawrence J.,
[923]
Emile, J. F.,
[799]
Feitosa, Raul Q.,
[382]
Fogue, Manuel,
[869]
Endo, Tokiko,
[445]
Felton, Michael J.,
[25]
Foley, Brian T.,
[818]
Foley, D. H.,
[706]
Foley, Desmonf H.,
[1098]
Foley, J. E.,
[310]
Flask, Christopher Alan, [297]
Flick, Robert,
[174]
Flotzinger, D.,
[913]
Floyd, C. E.,
[469, 964]
Focke, Axel,
[682]
Fogel, David B.,
[920, 923,
926, 947, 981, 988, 558]
Engoren, Milo C.,
[675, 1001]
Fen, Ping,
[197]
Erfania Saeedi, Nafise,
[1154]
Feng, Dagan,
[357]
Ergun, Ucman,
[1053]
Fenimore, Paul W.,
[818]
Esteller, Rosana,
[1034]
Fereydouneyan, F.,
[1104]
Est´
evez, J.,
[210, 1037]
Fereyduni, Ehsan,
[767]
Fontana, Carolina,
[847]
Evans, D. J.,
[248]
Ferguson, Allan M.,
[141]
Foroumadi, Alireza,
[71]
Evans, David J.,
[275, 277]
Fernandes, Joao Paulo S.,
Forster, Carola,
[108]
Ezzell, G. A.,
[574]
Fernandez, Jaime J.,
Foster, James A.,
[20]
Ezzell, Gary Allen,
[911, 1133]
Fernandez, Juan Carlos, [1153]
Fotopoulos, S.,
[221]
Fabregas, Carmen De Sola,
[39]
[444]
Fonseca de Camargo Neves, Vera,
[628]
Fernandez, Leyden,
[43]
Fox, Michael D.,
[901]
Fabry-Asztalos, Levente, [46]
Fernandez, Michael,
[43, 810]
Frachet, Bruno,
[639, 687, 375]
Fagan, Michael J.,
[778]
Fernando, Chrisantha,
[721]
Franco-Lara, Ezequiel,
[728]
Falgout, Barry,
[742]
Ferno, Marten,
[858]
Franz´
en, L.,
[293]
Falk, Robert,
[278]
Ferreira, Elizabeth I.,
[39]
Fraser, A. S.,
[151, 152]
Fallah, Ali,
[790]
Feyaerts, Maxim,
[860]
Frederick, E. D.,
[964]
Fan, David P.,
[1079]
Fiege, J.,
[1106]
Freedman, M. T.,
[476]
Fan, Xiao-Hong,
[716]
Figlerowicz, Marek,
[907]
Freer, Stephan T.,
[923, 937]
Fan, Yi,
[968]
Fikry, Karim,
[416]
Freitas, Alex A.,
[620]
Fan, Yong,
[272, 275, 277]
Filipiˇ
c, Bogdan,
[250]
Friedman, G. J.,
[153]
Fang, Guanghua,
[62]
Fiorini, Paolo,
[677]
Friend, Stephen H.,
[968]
Fang, Jianwen,
[38]
Firoozabadi, Mohammad,
Frizera, Anselmo,
[1077]
Fang, Kuang-nan,
[744]
Fiscarelli, Ersilia,
Froeyen, Mathy,
[90]
[508]
[824]
[787]
24
Genetic algorithms in medicine
Frollo, Ivan,
[506]
Gao, Yang,
[429]
Giller, C. A.,
[718]
Frolund, Sidsel,
[50]
Garc´ıa, A.,
[599]
Girault, Jean-Marc,
[427]
Frommlet, Florian,
[788]
Garcia-Uribe, Alejandro, [627]
Girvetz, E. H:,
[310]
Fu, J. C.,
[343]
Garg, Rajni,
Giuca, Anne-Marie,
[408]
[139]
[707]
Fu, Kuang,
[405]
Garg´ıa-Armengol, Juan, [697]
Glen, Robert C.,
Fu, Xiao-Hua,
[833]
Garg´ıa-Herrera, G.,
[592, 599]
Glendening, C. D.,
[994]
Fu, Yanhua,
[868]
Garrido, J.,
[599]
Goebel, Rainer,
[776]
Fucharoen, Suthat,
[903]
Garrido, Mariano,
[870]
Goh, Carolyn,
[1075]
Fuellen, Georg,
[740, 805, 821]
Garrido, Piedad,
[869]
Goh, Gerard Kian-Meng,[20]
Fujita, Atsuto,
[60]
Garway-Heath, David,
[336]
Goicoechea, Hector C.,
[905]
Gasem, Khaled A. M.,
[86]
Goldammer, E. von,
[567]
Gaspar, L.,
[574]
Goldfarb, Lev,
[22]
Golla, Sharath,
[86]
Gollapalli, Sowjanya,
[844]
Fujita, H.,
[264, 485,
504, 512]
Fujita, Hiroshi,
[445]
Fukui, Yasuhiro,
[630, 646, 670]
Fulham, Michael,
[357]
Funakubo, Akio,
[630, 646, 670]
Fung, Albert Y. C.,
[569, 1095,
615]
Gaspin, Christine,
[186]
Gastaldi, Laura,
[1100]
Gasteiger, Johann,
[21]
Gattass, Marcelo,
[434]
Golpayegani,
Mohammad
Hashemi, [824]
Gaughan, Patrick,
[339]
Golubitsky, Oleg,
[955]
Furie, Barbara C.,
[942]
Gaunt, M. W.,
Furie, Bruce,
[942]
Gavgani, Alireza Mazloumi,
Furst, Jacob,
[408]
Gaye, M. M.,
Golmohammadi, Hassan, [65]
Gomes de Lima,
Reza
[22]
K´
assio Michell,
[1059]
[1132]
Gomez, Juan D.,
[736]
Gomez, Luis,
[1160]
Gondos, Tibor,
[730]
Gong, Dunwei,
[890]
Gonz´
alez, Fabio,
[309]
[813]
Furuhashi, Takeshi,
[185]
Gayou, Olivier,
[694]
Fuss, R.,
[234]
Gayzik, F. Scott,
[729]
Fyfe, Murray,
[710]
Ge, Xinna,
[169]
Ga´
al, B.,
[1146]
Gecen, Nazmiye,
[36, 73]
Gal, B.,
[637]
Gee, J.,
[191]
Galeano, J.,
[799]
Gefen, Smadar,
[301]
Goodacre, Rouston,
[207]
Galiatsatos, Dimitrios,
[853]
Gehlhaar, Daniel K.,
[923, 937]
Goodacre, Royston,
[725]
Gallagher, R. J.,
[992]
Geladi, Paul,
[548, 549]
Goodarzi, Mohammad, [49]
Gallego, M. J.,
[957]
Genever, Paul G.,
[778]
Goodsitt, Michell M.,
[464, 940, 507]
Ghasemi, Jahan B.,
[52, 68]
Gopal, Jeyakodi,
[844]
Gholami, Maryam,
[81]
Gorbatenko, Aleksander S.,
Galvan, Stefano,
[677]
Galvin, J. M.,
[1096]
Gammerman, Alex,
[1051]
Gandy, S.,
[539]
Gangl, Alfred,
[331]
Ganjali, Mohammad Reza,
Ganjtabesh, Mohammad,
[37]
[814]
Gholivand, Mohammad B.,
Gholivand,
Good, Walter F.,
[985, 986,
1011, 1013, 542, 545]
[41]
Mohammad-Bagher,
[905]
Gord´
on, Oscar,
[35]
[322, 395]
Goreti Rosa-Freitas, Maria, [679, 684]
Gorges-Schleuter, Martina, [154, 155]
Ghorai, Santanu,
[755]
Gotshall, Stanley,
[688]
Ghosh, Payel,
[315]
Gottvald, A.,
[519]
Gant, V.,
[928]
Ghosh, S.,
[580]
Goujon-Bellec, Stephanie,
Gao, Bi-Xia,
[716]
Ghost, M. K.,
[305]
Gould, E. A.,
[955]
Gao, Jin,
[835]
Giegerich, Clemens,
[63]
Goulermas, John Y.,
[1047]
Gao, Lidong,
[855]
Giger, M. L.,
[460]
Gourinath, Samudrala,
[67]
Gao, Nan,
[182]
Giger, Maryellen L.,
[206, 478]
Govindan, Sapna,
[859]
Gao, Qinghui,
[819]
Gilbert, F.,
[922]
Govindarajan, Sridhar, [24]
[762]
Authors
Govorun, V. M.,
25
Gur, David,
[712]
[717, 1102,
Harris, M.,
[1057]
Harrison, Leonard C.,
[135]
Hart, Mary Kate,
[818]
Hart, William E.,
[142]
Hart, William Eugene,
[117]
Harvey, Neal R.,
[638]
542, 545]
Graham, Allan MacKenzie,
Gramatica, Paola,
Grassy, G´
erard,
Gray, H. F.,
Grbic, Anthony,
Grebe, Reinhard,
Green, Darren V. S.,
[327]
Guraksin, Gur Emre,
[1053]
Gurkiewicz, Meron,
[685]
Gururaja, K. V.,
[751]
Gussregen, Stefan,
[63]
Gutjahr, Walter J.,
[682]
[714, 771]
[18]
[456]
[1160]
Hasegawa, Mitsuhiko,
[939]
Guyot-Goubin, Aurelie, [762]
Hasegawa, Y.,
[914]
Haas, O. C. L.,
Hashemi, Masoud Reza, [1124]
[220]
[31]
[919, 934,
Grefenstette, John J.,
[204]
Gribbestad, Ingrid S.,
[1063]
Hadaya, Nir,
[316]
Gribkova, Irina V.,
[35]
Hadizadeh, Farzin,
[98, 104]
Griffiths, Robert C.,
[658]
H¨
afner, Michael,
[331]
Grill, Warren M.,
[705, 843]
Haghjoo, Majid,
[824]
Grosman, Benyamin,
[715]
Hahn, Lance W.,
[164]
954, 971, 1005]
Grossi, Enzo,
[644]
Halasz, Gabor,
[730]
Grotzinger, Carsten,
[85]
Halder, Amit Kumar,
[96, 877]
Grozier, S.,
[279]
Haley, Robert W.,
[785]
Grudinina, S. A.,
[712]
Hall, L. D.,
Grujicic, M.,
[655]
Grunhut, Marcos,
[870]
[442, 452,
473, 524]
Hall, L. O.,
[1083, 534]
Hall, Lawrence O.,
[463]
Halliday, David M.,
[339]
Gruss, Michelle Z.,
[717]
Gu, Yi-Xin,
[724]
Gu, Yunyan,
[889]
Halloran, M. Elizabeth, [861]
Guan, Qiu,
[820]
Halpern, Zamir,
Guanghua, Chunyan Li, [143]
Gu∂mundsson, Mark´
us, [498]
Gubernator, Klaus,
[132]
G¨
u¸c, Melikali,
[214]
Guerriero, S.,
[908]
Gui, Gerald P. H.,
[851]
Gulinck, Hubert,
[695]
Gulten, Gulcin,
[109]
Gunst, Richard F.,
[785]
Guo, M. Z.,
[171]
Guo, T.,
[852]
Guo, Xiaoying,
[768]
H¨
am¨
al¨
ainen, Matti,
[809]
[1157, 936,
1086]
Hashida, Mitsuru,
[60]
Hassanien, Aboul Ella,
[1074]
Hata, Yutaka,
[286, 641, 672]
Hattori, Yuya,
[838]
Hauke, S.,
[389]
Hawley, William A.,
[686]
Hayashi, Yoichi,
[240]
Hayaska, Satoru,
[1062]
Haydon, Daniel,
[188]
Hayenga, Heather N.,
[1054]
Hazen, Stanley L.,
[703]
He, Langchong,
[69]
He, Lifeng,
[370]
He, Li-Hua,
[724]
He, Renjie,
[271]
He, Sailing,
[203]
He, Wenxing,
[1151]
Hamarneh, Ghassan,
[273, 306]
He, Xining,
[1056]
Hamdy, Shaheen,
[1047]
He, Ying,
[854]
Hammer, J¨
urgen,
[135]
Heang, Ping Chan,
[507]
Hammoud, Z. T.,
[813]
Hedstr¨
om, Anders,
[148]
Han, Chao,
[863]
Heider, D.,
[389]
Han, Jung Ho,
[902]
Heinrichs, Volker,
[24]
Handels, H.,
[965, 525]
Helguera, Mar´ıa,
[344]
Handschuh, Sandra,
[21]
Helguera, Maria,
[312, 328, 737]
Hani, Ahmad Fadzil M., [774]
Helvie, Mark A.,
[457, 464,
Hao, Ming,
[44]
940, 507]
Helwig, Bryan G.,
[715]
Haque, M. Ehtashamoul, [393]
Hemayed, E.,
[479]
Hara, Takeshi,
Hemayed, Elsayed E.,
[953]
Guo, Xin,
[169]
Guo, Zheng,
[889]
Guo, Zhou-Yi,
[1065]
Guojun, Bao,
[528]
Harada, H.,
Guozheng, Yan,
[320]
Gupta, Vinod Kumar,
[767]
Hara, T.,
[445]
[264, 485,
504, 512]
Hemmateenejad, Bahram,
81]
[975]
Hemon, Denis,
[762]
Harboun-Cohen, Esther, [687]
Heng, Pheng-Ann,
[241]
H¨
arkonen, Henna H.,
Hennig, Carsten,
[608]
[732]
[634, 71,
26
Genetic algorithms in medicine
Henriques, J.,
Horan, M. A.,
[577, 595, 966]
Huang, Yueh-Min,
[1035]
Horan, Michael A.,
[950]
Huang, Zhiwei,
[757]
Horgan, Richard P.,
[752]
Hubley, Robert M.,
[165]
Hernandez-Garcia, Luis, [1160]
Horita, Katsuhei,
[445]
Hughes, Ian,
[31]
Herrera, Manuel,
[697]
Horner, Steven L.,
[555]
Herrmann, W. M.,
[944, 961]
Hornero, Roberto,
[1115]
[1057]
Heris, S. Mostapha Kalami,
Heritage, Trevor W.,
[759]
[141]
Hugh-Jones, Martin E., [681, 711]
Humphrey, Jay D.,
[1054]
Hung, Chih-Cheng,
[733]
Hunt, David L.,
[31]
Huo, Liqin,
[1056]
Husbands, Phil,
[721]
Hussain, Zakaria,
[1128]
Hust, Michael,
[728]
Hervas-Martinez, Cesar, [1153]
Hossain, M. A.,
[1110]
Herzmann, Grit,
[404]
Hosseini, Z. S.,
[970, 983]
Hess, A. J.,
[253]
Hosseinifard, Behshad,
[1068]
Hessler, Gerhard,
[63]
Hoth, J. Jason,
[729]
Hickson, I. D.,
[747]
Hou, Q.,
[1096]
Higa, Masaru,
[766]
Hou, Tingjun,
[1009]
Hutz, Janna,
[789]
Higami, T.,
[630]
Hou, Weidong,
[1036]
Hwa, Er Meng,
[581]
Higuchi, Tetsuya,
[667, 998]
Hricak, H.,
[237]
Hynynen, Kullervo,
[267]
Hijazi, Hussein,
[856]
Hsu, Ching-Chi,
[663, 849]
Ib´
an
˜ez, L.,
[191]
Hiley, M. J.,
[745]
Hsu, Hsiang-Ming,
[1162]
Idicula, Sumam Mary,
[830]
Hill, A.,
[226]
Hsu, Wei-Yen,
[887, 898, 899]
Igel, Christian,
[605, 352]
Hillis, David M.,
[163]
Hu, Benqiong,
[177]
Ikenberg, Hans,
[387]
Hiltner, Jens,
[912]
Hu, Dingyu,
[62]
Ikezoe, J.,
[999]
Hiltner, J.,
[256]
Hu, Qingmao,
[430]
Ikuta, Kunihiko,
[896]
Ilancheran, A.,
[757]
Hinds, R. Michael,
[438]
Hu, Wen-Chen,
[195, 1048,
390]
Hines, Evor L.,
Hinson, Arthur,
Hirako, Kenichi,
Ileanˇ
a, Ioan,
[613]
Hu, Y.,
[813]
Ilhan, Ilhan,
[179]
Hu, Yiyang,
[891]
Iliescu, Daciana D.,
[801]
Hua, Jing,
[307]
Il’ina, E. N.,
[712]
Huang, C. L.,
[524]
Im, Chang-Hwan,
[895]
Huang, Chung-Hsien,
[300]
Imberty, Anne,
[847]
Huang, Cunrui,
[855]
Impedovo, Donato,
[791]
Huang, Guanghui,
[99]
Inaba, Takeshi,
[370]
Ingole, V. T.,
[371]
Inman, Brant A.,
[784]
Intraligi, Marco,
[644]
Isa, Nor Ashidi Mat,
[1128]
Isacke, Clare M.,
[851]
Ishida, Toshimasa,
[766]
Ishigaki, Takeo,
[445]
Ishigaki, T.,
[264, 485]
[801]
[1034]
[445]
Ho, Christine,
[819]
Hoehn, Gerard,
[703]
Hoey, Tim,
[648]
Hoffmeister, Jeffrey W.,
[239, 243,
247, 262, 533]
Hoh, Jeong-Kyu,
[1117]
Huang, Haiyan,
[819]
Holder, Mark T.,
[163]
Huang, He,
[1122]
Holland, Brett,
[29]
Huang, Jau-Hua,
[300]
Holls, William,
[555]
Huang, Liling,
[834]
Holmes, E. C.,
[955]
Huang, N.,
[852]
Holmes, John H.,
[576, 929]
Huang, Shuying,
[358]
Honeyman, Marco,
[135]
Huang, Wenhua,
[430]
Hong, Mei-zhu,
[744]
Huang, Wen-qi,
[744]
Ito, Hiroshi,
[766]
Hong, Seunghong,
[493, 500]
Huang, Wenqing,
[873]
Ito, Masahiro,
[896]
Hong, Wenxue,
[1055]
Huang, Xiaosheng,
[379]
Itoh, H.,
[449]
Hong, Xiao-Dan,
[833]
Huang, Xiaowu,
[763]
Itoh, S.,
[264, 485]
Honørio, Nildimar Alves, [684]
Huang, Xudong,
[177]
Ivy, Percy S.,
[57]
Hopfinger, A. J.,
Huang, Yan-xin,
[173]
Iwata, Masaya,
[667, 998]
[994]
Authors
Iyengar, S. Sitharama,
27
[384]
Jiang, Chang-Bin,
[835]
Kaabouch, Naima,
[368, 195,
1048, 390]
Iyengar, S. S.,
[359]
Jiang, Ching-Fen,
[251]
Izadiyan, Parisa,
[772]
Jiang, Gang,
[177]
Izquierdo, Joaqu´ın,
[697]
Jiang, Jack J.,
[1040]
Jackowiak, Paulina,
[907]
Jiang, Jingying,
[651]
Jackson, M. I.,
[745]
Jiang, Mingfeng,
[671, 746, 873]
Jiang, Ouyang Guotai,
[143]
Jiang, Qiuyue,
[169]
Jiang, Shanshan,
[873]
Jacq, Jean-Jos´
e,
[1022, 501,
227]
Jadhav, Swapnil D.,
[76]
Jafari, Amir Homayoun, [790]
Jiang, Tianzi,
[248, 272,
[883]
Jafarpour, Mehrnaz,
[98]
Jiang, Wei,
Jaffar, M. Arfan,
[413]
Jiang, Xiaoqian,
[498]
Kachelriess, Marc,
[412]
Kacprzynski, G. J.,
[253]
Kadah, Yasser M.,
[313, 329]
Kaderali, Lars,
[886]
Kagadis, G. C.,
[268]
Kai, Toshihiro,
[794]
Kaiser-Bonasso, Christine,
[455]
Kajihara, N.,
[998]
[769]
Kajitani, I.,
[998]
[180]
Kajitani, Isamu,
[667]
[365]
275, 277]
Jafari, Seyed Ali,
Kabuka, Mansur R.,
Jahandideh, Mina,
[883]
Jiang, Zhibin,
[1129]
Kakar, Manish,
Jahandideh, Sepideh,
[883]
Jiao, Lijing,
[874]
Kalantari, Masoud,
[802]
Jahromi, P. Eftekhar,
[45]
Jin, Albert Yongwon,
[129]
Kalderstam, Jonas,
[858]
Jain, Sunil K.,
[713]
Jin, Bo,
[1152]
Kalganova, Tatiana,
[622]
Jakobsson, Stefan,
[148]
Jin, Qi,
[885]
Kallarakkal, Thomas George,
Jalali-Heravi, M.,
Jin, Yaochu,
[890]
Kalra, Naveen,
[425, 433]
[45, 54]
[613]
Kaltsatis, P.,
[905]
Jitaru, Maria,
[979]
Jalalvand, Ali R.,
Johansson, C. B.,
[296]
Kam, A.,
[521]
Johnson, Donald E.,
[1116]
Kamano, T.,
[975]
Johnson, Mark S.,
[30]
Johnston, Victor,
[1167]
Jokerst, Nan M.,
[426]
Jolivot, R.,
[799]
Jones, Gareth,
[139]
Jones, Jennifer T.,
[24]
Jalbert, Llewellyn,
[773]
Janc, K.,
[1073]
Jang, Younggun,
[493, 500]
Janikow, Cezary Z.,
[559]
Jansen, A.,
[389]
Janssen, M. A.,
[949]
Jantschi, Lorentz,
[102]
Javid, Samad,
[1078]
Jefferson, M. F.,
[595, 966]
Jefferson, Miles F.,
[950]
Jen, Lim Chong,
[581]
Jenkins, Jeremy L.,
[789]
Jenssen, Havard,
[55]
Jewajinda, Yutana,
[431]
Jha, Tarun,
[96, 877]
Ji, Bingbing,
Ji, Fei,
Kamarulzaman, Hamzah,
Jones, Matthew D.,
[1099]
Joshi, Anjali,
[371]
Jourdan, Laetitia,
[623]
Joyce, Karen E.,
[1062]
Joyner, Timothy Andrew,
[711]
Jr, V. Pilla,
[538]
Ju, Quan,
[339]
Ju, Wenbin,
[876]
Judson, Olivia P.,
[188]
[778]
[726]
Juhola, Martti,
[758]
[403]
Kan, Jichang,
[197]
Kang, Chu Chun,
[722]
Kang, Yujung,
[380]
Kanniainen, Olli,
[693]
Kao, Ceng-Yan,
[130]
Kao, Cheng-Yan,
[1023, 119]
Kao, Jui-Hung,
[147]
Kao, Ming-Hung,
[366]
Karajeh, Huda,
[1041]
Karami, Ghodrat,
[1078]
Karbakhsh, R.,
[48]
Kareem, Sameem Abdul, [758]
Karimi, Koohyar,
[691]
Karimi, Reza,
[348]
Karkavitsas, George,
[298]
Karnan, M.,
[1042]
[612, 614]
[591, 489,
Ji, Jun,
[1152]
Jia, Chunguang,
[505]
Jung, Byungjo,
[1039]
Karouzakis, K.,
Jia, Jianping,
[800]
Jung, Hsuan,
[734]
Karthikeyan, Kayathri, [844]
Jia, Yingmin,
[819]
Jung, Young-Jin,
[895]
Kashanian, Mehdi,
Jian, Hualing,
[128]
Jurs, Peter C.,
[134]
Kasibotla, Agasthya V., [84]
1084, 982, 991, 1000]
[193]
28
Genetic algorithms in medicine
Kasprzak, Wojciech,
[742]
Kikuchi, T.,
[999]
Kokol, P.,
[583, 383,
219, 972, 1010]
Katkova, Ekaterina V., [95]
Kim, B. Y.,
[570]
Katti, Seturam B.,
[49]
Kim, Byung-Chun,
[770]
Kawamura, T.,
[630]
Kim, Chae-Yong,
[902]
Kaya, Mehmet,
[214]
Kim, Daejeong,
[895]
Ke, J. Y.,
[951]
Kim, Dong Gyu,
[902]
Kehtamavaz, Nasser,
[627]
Kim, H. C.,
[706]
Keijzer, Maarten,
[647]
Kim, Jung-Hoon,
[895]
Kell, Douglas B.,
[207, 653, 752]
Kim, Soo Hyung,
[399]
Kemsley, E. Kate,
[795]
Kim, Young-Hoon,
[902]
Kendell, D.,
[1101]
Kimura, Toru,
[794]
Kenny, Bob,
[270]
King, M. A.,
[827]
Kenny, Louise C.,
[653, 752]
Kinghorn, B.,
[158]
Kent, Alexander R.,
[843]
Kini, P.,
[556]
Kentala, Erna L.,
[591, 991]
Kinjo, Tomohiro,
[109]
Kermani,
Bahram
Ghaffarzadeh,
[1087]
Kewley, Robert H.,
[23]
Keymeulen, Didier,
[998]
Khabbaz, Kamal R.,
[859]
Khader, Ahamad Tajudin,
[403]
Kinoshita, Kengo,
[175]
Kircher, T.,
[389]
Kirkman, E.,
[966]
Kiryati, Nahum,
[301]
Kishi, S.,
[914]
Kishore, N. N.,
[369]
Khadivi, Pejman,
[1124]
Kitamura, Mitsuru,
[109]
Khajeh, Mostafa,
[875]
Kitney, Richard I.,
[1075]
Khalaf, Reema Abu,
[33]
Klein, T. A.,
[706]
Khalil, Ahmad S.,
[660]
Klema, Jiri,
[211]
Khaloozadeh, Hamid,
[759]
Kl´
ema, Jiˇr´ı,
[1038]
Khan, Mahvish,
[56]
Klinkenberg, Brian,
[710]
Khan, Riaz A.,
[106]
Kloppel, B.,
[930]
Khan, Saif,
[56]
Knaup, Michael,
[412]
Khandelwal, Niranjan,
[425, 433]
Knoll, Peter,
[270, 285]
Khani, Hadi,
[767]
Kobashi, Syoji,
[286, 641, 672]
Khatchikian, C.,
[1101]
Kobayashi, Maiko,
[109]
Khayati, Rasoul,
[419]
Kobayashi, Yasuhiko,
Khazaee, Ali,
[1052]
Kherlopian, Armen R.,
Kokot, Serge,
[837]
Koljonen, Janne,
[693, 548, 549]
Komatsu, Hideyuki,
[109]
Kondakova, Olga A.,
[35]
Kondo, Katsuya,
[286, 641, 672]
Kong, Nan,
[892]
Kong, Xiangzhen,
[768]
Koppen, M.,
[234]
Koralewski, Hans-Eberhard,
[564,
1019]
Korber, Bette,
[818]
Koriska, Karl,
[270]
Korkin, Dmitry,
[22]
Korner, A.,
[978]
Korngreen, Alon,
[685, 822]
Kos, Bor,
[775]
Koseki, Yuji,
[109]
Koski, Kristine G.,
[812, 840]
Kosugi, Y.,
[200, 441]
Kosugi, Yukio,
[529]
Kotcheff, A. C. W.,
[216]
Kotcheff, A. C.,
[491]
Koutcher, J. A.,
[237]
Kovaˇ
ciˇ
c, Miha,
[657]
Kovecses, Jozsef,
[802]
Kozmann, G.,
[1146, 637]
Kramer, Kirsten Elisabeth,
Krantz, Lena,
[650]
[654]
Krestyannikov, Evgeny, [327]
Kreusch, J.,
[965, 525]
Krieg, Rene C.,
[387]
Krishna, Murali C.,
[367]
[838]
Krishnan, Shekhar,
[42]
Ko¸cer, Sabri,
[144]
Krogh-Madsen, Trine,
[783]
[783]
Kodali, Shyam P.,
[369]
Krohn, Jorgen,
[780]
Khiani, K. J.,
[481]
Koh, Chan G.,
[589]
Krol, A.,
[737]
Khomitch, Vitali,
[638]
Koh, Chang Seop,
[302, 354]
Krol, Andrzej,
[312, 328, 344]
Khoo, V. S.,
[1092]
K¨
ohler, Bert-Uwe,
[608]
Krol, Marcin,
[42]
Khoobehi, Bahram,
[359, 384]
Khn, Horst,
[270]
Krone, Joerg,
[220]
Kohzadi, M.,
[114]
Kruggel, F.,
[446]
Khoshneviszadeh, Mehdi,
[71]
Khotanlou, Hassan,
[407]
Koistinen, Hannu,
[732]
Kubalik, Jiri,
[211]
Kido, Choichiro,
[445]
Kokol, Peter,
[1094]
Kubal´ık, Jiˇr´ı,
[1038]
Authors
Kubinyi, Hugo,
29
Lahanas, M.,
[133]
[612, 614,
Leach, Andrew R.,
[139]
Leader, Joseph K.,
[399]
Leal, Rogerio P.,
[1076]
1140, 1002]
Kudaka, M.,
K¨
uhl, Christofer,
Kuhne, Ronald,
[518]
Lahiri, Tapobrata,
[170]
Lahsasna, Adel,
[1113]
[269]
Lederman, Dror,
[85]
Lahtela-Kakkonen, Maija,
Kuiken, Carla,
[818]
Kuklinski, Walter S.,
[910, 437]
Kula, M. R.,
[1024]
Kulandaivelu, Umasankar,
[732]
Lai, Feipei,
[147]
Lee, Andrew,
[1123]
Lai, Peggy S.,
[867]
Lee, Dah-Jye,
[692]
Lai, Yan-Hua,
[836]
Lee, D.,
[782]
Lainscsek, C.,
[782]
Lee, Dong-Yup,
[777]
La Rocca, Renato,
[278]
Lee, E. K.,
[992]
Lam, Andy Yan-Yu,
[147]
Lee, Eunsil,
[493]
Lam, Hong Yoong,
[403]
Lee, HeowPueh,
[664]
Lam, Kwok L.,
[457]
Lee, Howard,
[848]
Lam, W.,
[244]
Lee, Jiann-Der,
[300, 458, 470]
Lamarque, D.,
[799]
Lee, Joon,
[735, 859]
Lambrou, Antonis,
[1051]
Lee, June-Goo,
[1111, 416]
Lammi, S.,
[1000]
Lee, Jungsul,
[380]
Lan, Yihua,
[733]
Lee, Man-Ling,
[19]
Lanconelli, N.,
[249, 604]
Lee, Mei-Ling Tin,
[1117]
Land, W. H.,
[979]
Lee, Ming-Yuan,
[829]
Lee, O.,
[1134]
Lee, P. V.,
[495]
Lee, Peter V.,
[513]
Lee, Sangjean,
[500]
Lee, Sangmin,
[493]
Lee, T.,
[1137]
Lee, Tong,
[252]
[75]
Kulkov, Val,
[59]
Kulubekova, Saule,
[882]
Kumar, A. Senthil,
[640, 664]
Kumar, M. Aswath,
[779]
Kumar, Pradeep,
[106]
Kumar, Praveen,
[750, 409, 77]
Kumar, Sumit,
[78]
Kumar, Sunil,
[707]
Kumar, Vinod,
[425, 433]
Kumaravel, N.,
[1026, 1139]
Kumari, V. Vijaya,
[308]
Kuncheva, Ludmila I.,
[560]
Kundu, M. K.,
[332]
Kuntz, Irwin D.,
[28]
Land, Walker H.,
[205, 242, 263]
Landini, Luigi,
[410]
Landrin-Schweitzer, Yann,
[288]
Kunwar, Rakesh Singh, [393]
Kupinski, M. A.,
Lane, R.,
[1134]
Langenberger, Thierry,
[509]
Langer, Mark,
[1134]
Lanzeni, Stefano,
[678]
[531]
Kupinski, Matthew A., [206, 478]
Kupinski, M.,
[460]
Kurnaz, Mehmet Nadir, [276]
Kuroda, K.,
[1082]
Kurosaka, M.,
[672]
Kurtzman, Aaron L.,
[24]
Kurzydlowski, Krzysztof J.,
Kutics, A.,
Kutics, Andrea,
Kutov, Danil C.,
[717, 1102,
397, 399, 841]
Lee, Yongbum,
[264, 292,
Larra˜
naga, Pedro,
[945]
Larra naga, Pedro,
[957]
Leendert, R. van,
[567]
485, 512]
Larra˜
naga, Pedro,
[960]
Leeson, Mark S.,
[801]
Larson, Scott R.,
[702]
LeFevre, J.,
[931]
Laskaris, N.,
[221]
Legoupil, Samuel,
[363, 374]
Lau, Audrey O. T.,
[792]
Legrand, Pierrick,
[687, 375]
Lau, Tze Kin,
[252]
Lehmann, Thomas M.,
[235]
Laughton, C. A.,
[747]
Lehndert, R. van,
[566]
Laurienti, Paul J.,
[1062]
Lei, Beilei,
[40]
[832]
[447]
[451, 467]
[95]
Kuznetsov, Yuryi V.,
[35]
Kwok, James T.,
[318]
Kwok, Leung Lam,
[507]
Kwon, Jangwoo,
[493, 500]
Lavine, B. K.,
[813]
Leirs, Herwig,
[695]
Kwon, Kihwan,
[380]
Law, Tsui-Ying,
[241]
Lenski, Richard E.,
[161]
Kyani, Anahita,
[55]
Lazar, Cosmin,
[90]
Leon, Lisa R.,
[715]
Labelle, Hubert,
[871]
Lazaro-Ponthus, Delphine,
Lerch, R.,
[561]
Lago, M. A.,
[1071]
Lazorchak, Jim,
Leren, T. P.,
[1027]
Laurikkala, Jorma,
[591, 257,
952, 489, 1084, 982, 991, 1000]
[363, 374]
[174]
Lei, Jie,
[1044, 1045,
1050]
30
Genetic algorithms in medicine
Leren, Troud P.,
[157]
Li, Shutao,
[318]
Lin, X.,
[326]
Letellier, C.,
[782]
Li, Temei,
[617]
Lin, Yu-Da,
[1125, 178]
[1090]
[503]
Leung, Kwong Sak,
[238, 244]
Li, Wei,
[769]
Lin, Zhiyue,
Levenson, Richard M.,
[638]
Li, W.,
[353]
Linares, P.,
Levin, Michael,
[924]
Li, Wuxiong,
[648]
Levine, Rebecca S.,
[686, 700]
Li, Xia,
[769]
Levy-Drummer, Rachel S.,
[316]
Li, Xiangchen,
[180]
Lindholm-Sethson, Britta,
[548, 549]
Lindon, John C.,
[765]
Lineaweaver, Sean,
[645]
Ling, Steve S. H.,
[1058]
Ling, Xuefeng B.,
[1152]
Ling, Xuefeng Bruce,
[648]
Linkens, D. A.,
[590]
Linkens, Derek A.,
[932]
Levy-Vehel, Jacques,
[687]
Li, Xiangyan,
[768]
Lewin, Jonathan S.,
[291]
Li, Xiaodong,
[248]
Lewis, Paul O.,
[163]
Li, Xiaomei,
[341]
Lewis, Paul S.,
[1165, 229]
Li, Xue-Mei,
[716]
Leyman, A. Rahim,
[581]
Li, Xue-Wang,
[716]
Lipinski, P.,
[1073]
Lhotsk´
a, Lenka,
[1038]
Li, Yangmei,
[1030, 1031]
Litt, Brian,
[1034]
Li, Bailiang,
[889]
Li, Yan,
[44, 835]
Little, R. A.,
[966]
Li, C.,
[325]
Li, Yanlian,
[62]
Liu, Boqiang,
[341]
Li, George Q.,
[1072]
Li, Yongjie,
Liu, Chang,
[864]
Li, Guo,
[835]
Liu, Chunyang,
[889]
Liu, Dan,
[169]
Liu, Dongxiang,
[128]
Liu, Feng,
[746]
Liu, Gui-xia,
[173]
[633, 1044,
1045, 1050]
Li, Jia,
Li, Yupeng,
[1123]
Li, Zhan-Chao,
[836]
Li, Zhi-Qiang,
[835]
Lian, Baofeng,
[769]
Liang, Chunlin,
[1126]
Liu, Hong,
[733]
Liang, David,
[83]
Liu, Huanxiang,
[40]
Liang, Hualou,
[1090, 486]
[62]
Li, Jiazhong,
Li, Jing,
Li, Jingya,
Li, Jingyi Jessica,
Li, Junbo,
[89]
[1055, 835]
[62]
[819]
[1030, 1031,
980]
Liu, Huaying,
[1122]
Li, Jung-Chike,
[842]
Liang, Xuwei,
[307]
Liu, Jane Jijun,
[648]
Li, Jupeng,
[324]
Liao, Mingzhi,
[769]
Liu, Jia-kuang,
[514, 540]
Li, King C. P.,
[854]
Liaw, C. Y.,
[589]
Liu, Jianghong,
[800]
Li, King,
[703]
Lieberman, Jeffrey A.,
[57]
Liu, Jingao,
[196]
Liu, JiZhong,
[42]
Liu, Kun-Hong,
[876]
Liu, Li-Chang,
[300]
Liu, Li,
[739, 1056]
Liu, Linda Y.,
[1152]
Liu, Ning-Han,
[1162]
Liu, Qiao-Dan,
[835]
Liu, Qingzhong,
[177]
Liu, Renyu,
[83]
Li, Kong M.,
[1072]
Liengsawangwong, R.,
[325]
Li, Leling,
[942]
Likotjannasis, S. D.,
[607, 618]
Li, Lihua,
[841]
Lim, Gino J.,
[1123]
Li, Li,
[769, 864]
Lima, W. C. de,
[948]
Li, Lin,
[800]
Limbert, Georges,
[754]
Li, Ming-Xi,
[716]
Lin, Cui,
[307]
Li, Na,
[855]
Lin, Feng-Seng,
[147]
Li, Ningshan,
[893]
Lin, Jeng-Wei,
[147]
Li, Pengfei,
[69, 889]
Lin, Jinn,
[663, 894]
Liu, Shih-Ting,
[147]
Li, Qiao,
[906]
Lin, Ming-Cheng,
[807]
Liu, Song-Hao,
[1065]
Li, Qingli,
[196]
Lin, Qihua,
[785]
Liu, Taotao,
[763]
Li, Shan,
[889]
Lin, Shih-Wei,
[415]
Liu, Wei,
[1123, 841]
Li, Shao-Xin,
[1065]
Lin, Xiaoling,
[855]
Liu, X. Y.,
[171]
Li, Shiyong,
[373]
Lin, Xi-Zhang,
[436]
Liu, Xiaohui,
[616]
Authors
31
Liu, Xue-Jiao,
[716]
Lupsor, Monica,
Liu, Xun,
[893]
Lursinsap, Chidchanok, [903]
Makrogiannis, Sokratis, [335]
Liu, Y.,
[171]
Lustrek, Mitja,
[740, 805, 821]
Malcic, I.,
[219]
[288, 687]
Malhotra, Harish K.,
[1099]
Malik, Sarfraz Ahmed,
[393]
Liu, Yong,
[450, 959,
Lutton, Evelyne,
Mak, Sunny,
[753]
1012]
´
Lutton, Evelyne,
[363, 374,
[710]
Liu, Yuan,
[800]
Mallet, Nicolas,
[900]
Liu, Zhi-Gang,
[835]
Lutton, Evelyne,
[406]
Man, K. F.,
[951]
Liu, Zhi-Ming,
[1065]
Lv, Linsheng,
[893]
Mancinelli, Livia,
[787]
Liu, Zhiyue,
[486]
Lv, Yingli,
[769]
Mandal, Abhyuday,
[366]
Liu, Zhongguo,
[341]
Lyell, Deirdre J.,
[1152]
Mandava, Venkat R.,
[225, 204]
Livdahl, T.,
[1101]
Ma, Huijuan,
[893]
Manetta, S.,
[510]
Ljubic, Ivana,
[788]
Ma, Lanping,
[62]
Manetti, Cesare,
[787]
Lo, Joseph Y.,
[205, 242, 263]
Ma, Li Zhuang,
[891]
Mani, Haresh,
[414]
Lo, Justin Y.,
[426]
M¨
a¨
att¨
a, Juha A. E.,
[732]
Maniadakis, M.,
[575]
Locke, A. G.,
[862]
Mace, Michael,
[904]
Mani-Varnosfaderani, A.,
Lockwood, Larry,
[26, 27]
Maciunas, Robert,
[626]
Mann, D.,
[595]
Lodhi, Mazhar U.,
[82]
MacKenzie, Sasho J.,
[826]
Mantzaris, Dimitrios,
[723]
Loke, Pei Yi,
[749]
Manuck, Stephen B.,
[57]
Lonˇ
cari´
c, Sven,
[439]
Manzano, Mark,
[742]
Longini, Ira M. Jr,
[861]
Manzoni, Pietro,
[869]
Lonning, Per E.,
[1063]
Mao, Chi-Wu,
[436]
Lopes, H. S.,
[996, 538]
Mao, C.,
[852]
Lopes, Heitor S.,
[620, 948]
Mao, Qian-guo,
[744]
Lopez, Heitor Silv´
erio,
[149]
Marchesi, Bruno,
[149]
Lopez-Andujar, R.,
[1071]
Marchetti, Mauro,
[1161]
Lou, Tanqi,
[893]
Marchi, Alessandra,
[878]
Louchet, Jean,
[363, 374]
Lounibos, L. Philip,
[686]
Loureiro, Joseph,
[789]
Lovy, Linda S.,
[717]
Low, Jeffrey J. H.,
[757]
Lu, Hengyun,
[1149]
Lu, Shiyong,
[307]
Lu, Weixue,
[505]
Lu, Xinxin,
[863]
Lucas, S. B.,
[577, 966, 565]
Lucas, Sam B.,
Luitgards-Moura,
1061]
Madadkar-Sobhani, Armin,
Madadlou, Ashkan,
[815]
Maddalena, D. J.,
[127]
Madhavan, Radhika,
[41]
[866]
Madheswaran, Muthusamy,
Madhusudan, S.,
[747]
Madi, Arwa M.,
[58]
Madihally, Sundar,
[86]
Maeda, Chika,
[641]
[1120]
Mar¸co, Paulo Henrique, [1059, 1060]
Maggini, Valentina,
[166]
Magill, Lukas C.,
[46]
Magill, Peter J.,
[900]
Mahan, S. L.,
[665]
Mahanand, B. S.,
[779]
Mahendar, Porika,
[75]
Mahfouf, M.,
[590]
Mahiou, Ramdane,
[333, 349]
Jos´
e
Marcos, J. Victor,
[1115]
Marcus, Emil,
[125]
Marder, Stephen R.,
[57]
Marinelli, Martina,
[410]
Marjoram, Paul,
[734]
Marks, Lawrence B.,
[694]
Maroulis, D.,
[213]
Marq, Benoit M.,
[508]
Mahmoodi, M. Mohsen, [45]
Marquez, Guillermo,
[627]
Mahmoodian, Hamid,
[793]
Marrakchi-Kacem, Linda,
Mai, Hai-Qiang,
[1065]
Marten, Frank,
[145]
Mainardi, Luca,
[1161]
Martens, J. M.,
[949]
[950]
Francisco,
[679, 684]
[45, 54]
[421]
Lukhnova, Larissa,
[711]
Majdi-Nasab, Nariman, [17]
Martinez, Francisco J.,
[869]
Lundgren, Steinar,
[1063]
Maji, Pradipta,
[332]
Martinez-Martinez, F.,
[1071]
Luo, Mei-Juan,
[833]
Majumder, M. A. A.,
[1110]
Martinez-Perez, I.,
[456]
Luo, X.,
[559]
Majumder, P. P.,
[580]
Martin-Guerrero, J. D., [1071]
32
Genetic algorithms in medicine
Martini, Anna,
[314]
McIntosh, Chris,
[306]
Mihara, Kiyoshi,
[60]
Martins, Maria,
[1077]
McKee, Dan,
[263]
Miklavcic, Damijan,
[775]
Martis, R. J.,
[908]
McLaren, CVhristine E., [691]
Miliani, L.,
[223]
McNay, D.,
[461]
Milickovic, N.,
[612, 614]
McNyset, Kristina M.,
[681]
Mills, J. A.,
Mart´ınez-Campos, Carmen,
Mart´ınez-Meyer, Enrique,
[636]
[636]
[919, 934,
954, 971]
Marvin, N.,
[1004]
McTavish, Thomas,
[1159]
Marzani, F.,
[799]
McWeeney, Shannon,
[811]
Masotti, Andrea,
[787]
Mechref, Y.,
[813]
Massa, Andrea,
[246, 314]
Medina, Veronica,
[260]
Massad, E.,
[1085]
Medina, V.,
[284]
Masters, G.,
[922]
Meesad, P.,
[261]
Miranda, Pedro Cavaleiro,
Masters, Timothy D.,
[242, 263]
Mehdipour, Ahmadreza, [74]
Miranda, P.,
Mastronardi, G.,
[294]
Min, David I.,
[995]
Minowa, Yohsuke,
[794]
Minster, J. B.,
[922]
Mirakhorli, Shima,
[767]
Miranda, Dinis Reis,
[1001]
[901]
[520]
Mehrabian, Mohadeseh, [55]
Miranda-Saavedra, Diego,
Mastronardi, Guiseppe, [378]
Mehrshad, N.,
[1104]
Miri, Ramin,
[71, 74, 81]
Mata, la, Manuel d,
[1153]
Mehta, Akul Y.,
[79]
Mirjankar, N.,
[813]
Matecha, J.,
[194]
Meng, Fan-Liang,
[724]
Mirza, Sikander M.,
[732]
Meng, Tao,
[62]
Matrajt, Laura,
[861]
Menigot, Sebastien,
[427]
[254, 268,
969, 1088]
[285]
Mishra, A.,
[305]
Mishra, Hrishikesh,
[170]
Mishra, Vijay,
[713]
Misra, Krishna,
[170]
Mitamura, Yoshinori,
[766]
Mitchell, Melanie,
[315]
Mitra, Pabitra,
[1028]
Mitra, Suman K.,
[1138]
Mitra, Sushmita,
[1028, 240]
Miyake, Yoichi,
[376]
Miyata, Yujiro,
[185]
Miyokawa, T.,
[976]
Mo, Yulong,
[1036]
Mobli, Hossien,
[815]
Mochizuki, T.,
[999]
Merino, Maria J.,
[414]
Matsui, Kazuhiro,
[529]
Mertik, M.,
[383]
Matsui, K.,
[200, 441]
Matsumoto, Hiroyuki,
[939]
Matter, Hans,
[63]
Matteucci, Matteo,
[1161]
[1046, 846,
886]
[270]
Mirzaei, S.,
[445]
Maulik, Ujjwal,
Mirzaei, Siroos,
Merican, Amir Feisal Merican Aljunid, [758]
Matsubara, Tomoko,
Mattsson, Johanna M., [732]
[317, 334,
334, 338, 340, 350, 396]
Matero, Sanni,
Matsopoulos, George K.,
[810]
Mesgari, Mohammad Saad,
[424]
Meskens, N.,
[666]
Messina, Enza,
[678]
Messing, E. M.,
[993, 1014]
Metallo, Christian M.,
[797]
Metzger, A.,
[1093]
Maus, B¨
arbel,
[776]
Metzler, Volker,
[220]
Maxwell, R. J.,
[456]
Meuli, Reto,
[509]
Mayaud, Louis,
[867]
Meunier, Jean,
[259]
Mazaki, Yusaku,
[896]
Meunier, J.,
[532]
McAllister, Gregory,
[789]
Meyer, Claudia M.,
[228]
Mccall, J. A. W.,
[527]
Meyer zu Bexten, E.,
[256]
McCall, John,
[635]
Mezura, Efren,
[806]
McCallum, R. W.,
[486]
Micera, Silvestro,
[1105]
McCallum, Richard W., [1090]
Michelena, M. J.,
[957]
Moghadam, Z. Razaghi Kashan, [814]
McCowan, Lesley M.,
[752]
Michielssen, Eric,
[1160, 461]
Moghimi, S.,
[828]
McCurdy, B.,
[1106]
Middleton, L. T.,
[562, 563]
Mohamed, S.,
[966]
McDonnell, John R.,
[925]
Miften, Moyed,
[694]
Mohammed, M. Z.,
[747]
McDowell, J. J.,
[857, 882]
Mignotte, Max,
[259]
Mohan, S.,
[989]
McInerney, Tim,
[273]
Mignotte, M.,
[532]
Mohri, K.,
[88]
Mofrad, Mohammad R. Kaazempur,
[660]
Mofrad, Mohammed R. Kaazempur,
[348]
Authors
33
Moini, Majid,
[879]
Muldoon, Matthew F.,
[57]
Neely, Brian J.,
[86]
Molaei, Damoon,
[424]
Mun, S. K.,
[476]
Neerinckx, Simon B.,
[695]
Moldoveanu, F.,
[494]
Munshi, Prabhat,
[369]
Neff, Bryan D.,
[167]
Molinari, Filippo,
[825]
Muraca, Maurizio,
[787]
Neglia, Danilo,
[410]
[1024]
Molinari, F.,
[908]
Murakami, Kazuhito,
[370]
Nellen, F.,
Monakov, Mikhail Yu,
[35]
Murakami, M.,
[998]
Nelson, J. Stuart,
[1039]
Mondal, Chanchal,
[877]
Murase, K.,
[999]
Nelson, Sarah J.,
[773]
Monserrat, C.,
[1071]
Murugan, S.,
[709]
Nemeth, S. C.,
[290]
Montalvo, Idel,
[697]
Murugesan, R.,
[367]
Nerurkar, Ashutosh,
[851]
Musolino, Nicholas,
[97]
Neto, M. Augusta,
[1076]
Myers, Jenny,
[653]
Neumann, Avidan U.,
[316]
Myers, Timothy G.,
[968]
Neumann, Martin,
[270]
Monteiro de Barros, F´
abio Saito,
[679, 684]
Montilla, G.,
[503]
Montilla, Guillermo,
[223, 224]
Mookiah, M. R. K.,
[908]
Moon, Woo Kyung,
[415]
Mooney, Michael,
[811]
Moore, Jason H.,
[164, 1080]
Moradi, Mohammad Hassan,
[1068]
Nagayama, I.,
[518]
Nagel, R.,
[492]
Nagle, H. Troy,
[1087]
Nagpal, Isha,
[67]
Naguib, Ibrahim A.,
[66]
[809]
Ng, E. Y. K.,
[385]
Ng, Joseph,
[757]
Ng, L.,
[191]
Ngan, P. S.,
[244]
Ngo, L. H.,
[862]
Nguyen, Hung T.,
[1058]
Ni, Guangzheng,
[302]
Ni, Yan-fei,
[726]
Ni, Yongnian,
[837]
Nian, Wen,
[482]
Niccolai, M. J.,
[202]
Nicholis, Thomas E.,
[287]
[904]
Nickolay, B.,
[234]
[933]
[256]
Najarian, Siamak,
[879]
Morais, J.,
[1057]
Nakaguchi, Toshiya,
[376]
Nakamura, Ikuo,
[472]
Morbiwala, Tasnim A., [872]
Nakano, Manami,
[670]
Moreno, L.,
[210, 1037]
Nakao, Zensho,
Moreno, Rui,
[1001]
[1069]
[466, 472,
483, 487, 490, 497, 543]
Nakazawa, Yoshinori,
Morgan, Alexander A., [1152]
n,
[145, 900]
Nevo, Uri,
Moraga, C.,
Morales Cruzado, Beatriz,
Nevado-Holgado, Alejo J.,
[636]
[?]
Morgan, K.,
[577]
Morgera, Andrea,
[1147]
Morita, Koji,
[109]
Nandi, Sisir,
[51]
Niederberger, Craig,
Morrill, S.,
[1134]
Nandy, Rajesh,
[404]
Nielsen, Carsten Uhd,
[50]
Morrison, Clayton T.,
[205]
Narayana, Ponnada A., [271]
Nigsch, Florian,
[789]
Mortazavi, S. S.,
[100, 113]
Narayanan, M. N.,
[565]
Nikiforidis, G. C.,
[268]
Mosher, John C.,
[1165, 229]
Narayanasamy, P.,
[187]
Nikita, Konstantina S., [969, 1088]
Mosier, Philip D.,
[107]
Narimani, Hojat,
[897]
Nilsen-Hamilton, Marit, [756]
Moskowitz, Myron,
[455]
Narita, M.,
[938, 941]
Motokawa, Wataru,
[1025]
Mouravliansky, Nicolaos A.,
na, Gabriel Ma}ga06aGManana
Nandi, Dipankar,
Nasab, Nariman Majdi, [14]
[254,
268, 969, 1088]
Mubarak, Mohammad S.,
Muge, Fernando,
[33, 47]
[588]
Nassar, Diaa Eldin,
[16]
Na¨ıt-Ali, Amine,
[361]
Naushahi, Mohammad, [904]
Muhammad, Majidat A.,[818]
Nayebzadeh, M.,
[970, 983]
Mukamel, S.,
[1158]
Nazareth, Daryl P.,
[1099]
Mukherjee, Anirban,
[755]
Nazem-Bokaee, Hadi,
[881]
Nishikawa, D.,
[998]
Nishikawa, R. M.,
[492]
Nishimura, Ikuya,
[766]
Nishimura, Y.,
[976]
Nissanov, Jonathan,
[301]
Nithiyanandam, N.,
[1139]
Niu, Dao-Li,
[835]
Noorizadeh, Hadi,
Mukhopadhyay, Anirban,
[846, 886]
Ndesendo, Valence M. K.,
[106]
[92, 100, 897,
112, 113, 114, 115]
Noorizadeh, Mehrab,
[897]
34
Genetic algorithms in medicine
Noorizadeh, Mehrad,
[100, 112,
¨
Olmez,
Tamer,
[1033, 276]
Pant, Sanjay,
[754]
Olmez, T.,
[956, 516]
Papadopoulos, Harris,
[1051]
¨
Olmez,
T.,
[541]
Papagiannopoulou, M., [612, 614]
Olmi, R.,
[510]
Papathanasopoulos, P., [221]
Olsen, Dag Rune,
[365]
Papiez, L.,
113, 114]
Nordal, Inger,
[157]
Nordal, I.,
[1027]
Nordling, Torbj¨
orn E. M.,
[693, 548,
549]
Norouzi, Parviz,
[37]
Ong, Kok Meng,
[642]
North, Robyn A.,
[752]
Ono, Atsushi,
[794]
Novelline, Robert,
[416]
Onorati, Francesco,
[1161]
Novic, Marjana,
[116]
Onori, Manuela,
[787]
Novikov, Fedor N.,
[59]
Onuki, T.,
[976]
Nowack, W. J.,
[202]
Orglmeister, Reinhold,
[608]
Nowe, Ann,
[90]
Ortega, Francis A.,
[783]
Osin, Peter,
[851]
Nowshirava Rahatabad, Fereidoun,
[790]
Nowzari-Dalini, A.,
Osman, Muhammad Khusairi, [1128]
[814]
Osowski, Stanislaw,
[774]
Osuna-Enciso, Valent´ın, [428]
Nunes, Jean-Claude,
[311, 364]
Ota, Motonori,
[175]
Ouh-Young, Ming,
[119]
[434]
N¨
urnberg, H. G.,
[1021, 568]
Ouhyoung, Ming,
[130]
Nyongesa, H. Okola,
[932]
Owen, F.,
[595]
Nystr¨
om, Josefina,
[548, 549]
Ozaki, Masao,
[1025]
Ocak, Hasan,
[1130]
Ozdemir, Muhsin,
[26, 27]
Ochoa, Edward M.,
[239, 243,
Ozyurt, Ibrahim Burak, [796]
247, 262, 265, 533]
Pace, Fabio,
O’Connor, Patrick M.,
[644]
[968]
Padilla Casta˜
neda, M. A.,
Oechtering, Peter,
[625]
[480]
Padmanabhan, Radhakrishnan, [742]
Oferkin, Igor V.,
[95]
Offman, Marc N.,
[42]
Ogirala, Mythili,
[15, 16]
Oguz, Kaya,
[435]
Oh, Chang Wan,
[902]
Pappalardo, Francesco, [1114]
Parda, David S.,
[694]
Pardoe, David A.,
[31]
Paredes, S.,
[1057]
Pareja, E.,
[1071]
Parisay, I.,
[828]
Park, C. H.,
[1137]
Park, C.,
[1137]
Park, Jeong-Hoon,
[902]
Park, K. S.,
[570]
Park, L. J.,
[1137]
Park, Moon-Il,
[1117]
Park, Sang Cheol,
[394, 399]
Park, Yoon-Joo,
[770]
Park, Young-Sun,
[1117]
Parker, Joel S.,
[164]
Parker, Michael,
[818]
Parkinson, Wendy,
[645]
Parodi, Alexandre,
[553]
Parrill, A.,
[122]
Parsons, M. D.,
[925]
Parthiban, Latha,
[550]
Parvaneh, Saman,
[824]
Pascual-Leone, Alvaro,
[901]
[760]
Nugroho, Hermawan,
Nunes, Rodolfo Acatauassu,
[701]
Pahlavan, Pedram,
[879]
Pai, S.,
[499]
Pal, Sankar K.,
[1028]
Pasqualoto, Kerly Fernanda M.,
Palafox, G.,
[632]
Passaretti, Sandro,
[644]
Palmer, Gregory M.,
[426]
Passaro, Alessandro,
[166]
Ohkubo, Masaki,
[292]
Palous, Jiri,
[211]
Pastorelli, Stefano,
[1100]
Ohlsson, Mattias,
[858]
Pan, Jin-shui,
[744]
Pastorino, Matteo,
[246, 314]
Ohno, Yasuo,
[794]
Pan, Ming-Kai,
[147]
Patel, Apoorva,
[159]
Ohno-Machado, L.,
[582, 1008]
Pan, Xiaohua,
[834]
Patel, H. C.,
[994]
Ohta, Hiroyuki,
[175]
Pan, Xiaoyan,
[69]
Patel, Naina,
[42]
Okamura, T.,
[474]
Pan, Zheng,
[648]
Patel, P. M.,
[747]
Okazaki, K.,
[482]
Panayides, N.,
[562]
Patel, Paresh K.,
[64]
Okunieff, P. G.,
[993, 1014]
Pandeya, Surendra N.,
[750]
Patete, Paolo,
[878]
Okunieff, P.,
[585]
Pang, Chaoyang,
[177]
Patten, Philip A.,
[24]
Oliveira, D´
ario A. B.,
[377]
Pang, Yong,
[337]
Pattichis, C. S.,
[562, 563]
Oliveira, Dario A. B.,
[382]
Pang, Yuxi,
[414]
Pattichis, Constantinos S.,
[935]
[39]
Authors
35
Patton, Robert M.,
[698]
Petrovski, Andrei,
[635]
Poppi, Ronei J.,
[597]
Patton, Ronald J.,
[778]
Petrovski, A.,
[527]
Poppl, S. J.,
[965, 525]
Paul, Jochen,
[566, 567]
Pfeiffer, Dirk U.,
[738]
Porro, Gabriele Bianchi, [644]
Paull, Kenneth D.,
[968]
Pfotenhauer, M.,
[567]
Porto, V. W.,
[947, 981, 988]
Pfurtscheller, G.,
[913]
Poshtan, Javad,
[1109]
Pham, Tuan D.,
[362]
Positano, Vincenzo,
[410]
Phimoltares, Suphakant, [903]
Poso, Antti,
[732]
Piazzolla, Alessandro,
[378]
Potok, Thomas E.,
[698]
Picaza, J. M.,
[957]
Potrebko, P.,
[1106]
Piccione, Francesco,
[1161]
Poupon, Anne,
[764]
Pickens, III, David R.,
[225, 204]
Pour-Abdollah, Syamak, [535]
Pickering-Brown, S.,
[595]
Pourabdollah-Nezhad, Siamak,
Pickett, Stephen D.,
[31]
Picton, P. D.,
[536]
Picu, Dorin,
[566, 567]
Pilla, Jr V.,
[996]
Pillay, Viness,
[106]
Pinto, Peter A.,
[414]
Pirlo, Giuseppe,
[791]
Piscaglia, Patrick,
[508]
Paulson, Rolf,
[368, 195,
1048]
Pavlidis, Stelios P.,
[761]
Payandeh, Shahram,
[617]
Payer, Hannes,
[331]
Payne, Annette M.,
[761]
Pazilov, Yerlan,
[711]
Pazos, Alejandro,
[462]
P´
ean, Vincent,
[687, 375]
Pechlivanis, Ioannis,
[352]
Peck, Charles C.,
Pedersen, Lee G.,
Pedrycz, Witold,
Pei, Xiaohua,
Peirce, Shayn M.,
[556, 228]
[942]
[1145]
[893]
[1054]
Pe˜
na-Reyes, Carlos Andr´
es,
[579,
587, 598, 609, 629, 1006, 1015]
Pourbasheer, Eslam,
[37]
Pourhossein, Alireza,
[41]
Pournajafi, K.,
[100]
Power, Maxine,
[1047]
Prabhakar, Yenamandra S.,
[49]
Prather, Jonathan Charles,
[236]
Praveen, Vandana,
[56]
Preece, Steve J.,
[280]
Pendleton, Neil,
[950]
Pitcher, Trevor E.,
[167]
Preema, N.,
[683]
Pendleton, N.,
[577, 595, 966]
Pitiot, Alain,
[266]
Pregenzer, M.,
[913]
Peng, Jinglin,
[318]
Pizzi, Nicolino J.,
[1145]
Prieto, Victor,
[627]
Peng, Lingxi,
[1126]
Playfer, Jeremy R.,
[339]
Priftis, Konstantinos,
[1161]
Peng, Luying,
[864]
Plishker, William,
[345, 360]
Priori, S.,
[510]
Peng, Shih Chi,
[722]
Podbregar, Matej,
[657]
Proutski, V.,
[955]
Peng, Sihua,
[648]
Podforelec, V.,
[972]
Pu, Yuepu,
[803]
Peng, Wen,
[319]
Podgorelec, Vili,
[1094]
Pueh, Lee Heow,
[640]
Peng, Yidong,
[892]
Podgorelec, V.,
[583, 219,
1010]
Peng, Zhengwei,
[111]
Penttinen, Jorma,
[982]
Perez, Juan Manuel Sanchez,
Perez, Serge,
Poh, Chueh Loo,
[1075]
Pohida, Thomas,
[414]
Pohlmann, A.,
[578]
Poizner, H.,
[782]
[727]
[847]
Perez-Aguilar, Jose Manuel,
[83]
Poli, Riccardo,
Perez-Castillo, Yunierkis,
[90]
[282, 916,
1081, 471, 523, 231]
Pulido, Juan Antonio Gomez,
[30]
Putignani, Lorenza,
[787]
Putra, Devi,
[778]
Pyka, M.,
[389]
Pyykk¨
o, Ilmari V.,
[591, 991]
Qadri, Muhammad A. J., [1163, 1164]
[148]
Polifeme, C.,
[592]
Qian, Guipeng,
[319]
Peters, Ashton,
[323]
Pollock, Bruce G.,
[57]
Qian, Z.,
[353]
Peters, Tim K.,
[564, 1019]
Polo, Stephanie,
[742]
Qiao, Yuchen,
[800]
Pont, M. J.,
[946]
Qin, Jianxin,
[855]
Poon, Josiah,
[874]
Qiu, Qingjun,
[651]
Poon, Simon,
[874]
Qu, Xiuli,
[892]
Popa, Maria,
[613]
Quesneville, Hadi,
[160]
[628, 636,
1097, 684, 1098, 699]
Peterson, Andrew T.,
Petrick, Nicholas,
940, 507]
[727]
Puranen, J. Santeri,
Persson, Mikael,
Peterson, A. Townsend,
[233,
255]
[695]
[457, 464,
36
Genetic algorithms in medicine
Quintana, M. I.,
[282]
Qureshi, Shahzad Ahmad,
[317, 334,
Razuc, Mariela F.,
[870]
Rodningen, O. K.,
[1027]
Razzaghi-Asl, Nima,
[74]
Rodriguez, L.,
[503]
Rødningen, Olaug K.,
[157]
Rodriguez, Miguel A. Vega,
Rebelo, Irene,
[1127]
Roemer, M. J.,
[253]
Reddy, A. Srinivas,
[707]
Rogers, Jack T.,
[177]
Redfern, M. S.,
[962]
Rogers, R. L.,
[461]
Reeves, C. R.,
[934]
Rogers, Steven K.,
Reichert, Erin D.,
[742]
Reinstein, L. E.,
[499]
Rejto, Paul A.,
[923, 937]
Ren, Bin,
334, 338, 340, 350, 396]
Rabani, Yuval,
[184]
Rabinovich, Yuri,
[184]
Rad, Farshid Rafiee,
[233, 255]
Rad, Gholam Ali Rezaei, [193]
Rad, Michael von,
[909]
Radhakrishnan, S.,
[709]
Radhika, Tippani,
[75]
Radonjic, Marijana,
[795]
Rafferty, Kimberly,
[328, 344]
Rafferty, K.,
[737]
Rafiee, Rad,
[535]
Rafiee, Shahin,
[815]
Rahmati, Mohammad,
[535]
Raicu, Daniela,
[408]
Raj, Isha,
[67]
Rajagopalan, Cadathur, [906]
[727]
[239, 243,
245, 247, 262, 533]
Rogers, Steven,
[265]
Roig, Jos´
e V.,
[697]
Roland, B.,
[661]
[833]
Romano, A.,
[494]
Repsilber, Dirk,
[740, 805, 821]
Romanov, Alexey N.,
[35]
Resch, Robert,
[331]
Romero, Eduardo,
[309]
Resenstengel, John E.,
[265]
Romero, Leoncio A.,
[806]
Restrepo, Diego,
[1159]
Rong, Ying-Ci,
[833]
Reynolds, E. C.,
[862]
Rongguo, Yan,
[320]
Reynolds, Mary G.,
[700]
Roohafza, Hamidreza,
[880]
Rezaei, Asghar,
[1078]
Rosani, Andrea,
[314]
Riahi, Siavash,
[37]
Rosati, Samanta,
[825]
Riane, F.,
[661]
Rajaguru, Harikumar,
[146]
Roseiro, Luis M.,
[1076]
Rajapakse, Jagath C.,
[528]
Ricciotti, Gabriella,
[787]
Rosenberg, R. S.,
[156]
Rajpoot, Nasir M.,
[396]
Rice, William R.,
[162]
Rosenman, M. A.,
[683]
Ram, Ramesh,
[172]
Rich, S. S.,
[1142]
Rosenstengel, John E.,
[239, 243, 247]
Raman, B.,
[290]
Richardson, Mark P.,
[145]
Rosentengel, John E.,
[262, 533]
Ramanujam, Nirmala,
[426]
Rigby, Alan C.,
[942]
Ross, Anton,
[728]
Ramchandra, T. V.,
[751]
Rigotti, Gino,
[878]
Ross, T.,
[965, 525]
Ramos, Vitorino,
[588]
Rijckaert, Marcel,
[27]
Rost, Ursula,
[480]
Ramsey, C. R.,
[665]
Rijckaert, M.,
[586]
Rostami, Reza,
[1068]
Rangel, Naykiavick,
[223, 224]
Rimm, David L.,
[638]
Rouet, Jean-Michel,
[1022, 501]
Rangoussi, Maria,
[298]
Ripolles, Oscar,
[901]
Routen, T.,
[453]
Raoofi, F.,
[100]
Ritchie, Marylyn D.,
[164]
Riyahi-Alam, Nader,
[445]
Rovithakis, G.,
[575]
Rapoport, Benjamin I., [866]
Roach, Jared C.,
[165]
Rowat, P.,
[782]
Rathbun, Thomas F.,
Roberts, C. B.,
[662]
Rowbottom, C. G.,
[1092]
Roberts, Claire T.,
[752]
Rowe, Jonathan E.,
[1004]
Roberts, J.,
[118]
Rubens, D. J.,
[993, 1014]
Roberts, M.,
[283, 289]
Ruberto, Cecilia Di,
[1147]
Roberts, S.,
[479]
Rudy, George,
[135]
Robinson, M. P.,
[798]
Rueda, L. M.,
[706]
Robinson, Robert L. Jr, [86]
Rueda, Leopoldo M.,
[1098]
Rocchisani, Jean-Marie, [363, 374]
Ruffini, Giulio,
[901]
Rocha, T.,
Ruotsalainen, Ulla,
[327]
Rapin, Nicolas,
[50]
[239, 243,
245, 247, 265]
Rathbun, Thomas P.,
Rautenbach, R.,
[262, 533]
[1020]
Raveendran, P.,
[642]
Ray, Rajasri,
[751]
Razjouyan, Javad,
[790]
Razmovski-Naumovski,
Valentina,
[1072]
Razon, Benjamin,
[822]
[1057]
Roux, Christian,
[1022, 501,
223, 227]
Authors
37
Ruperez, M. J.,
[1071]
Santos, Cristina,
Schmidt, Steffen,
[601]
Ruspini, E. H.,
[209]
Santvoort, J. P. C. van, [1143]
Schmieder, Kirsten,
[352]
Sa, S. D.,
[938]
Saracoglu, Ridvan,
[1053]
Schneider, Gisbert,
[19]
Sarafraz-Yazdi, Ali,
[875]
Schneider, Petra,
[19]
Sarai, Akinori,
[43]
Schroeter, Philippe,
[509]
Saadatzi, Mohammad Sadegh, [1109]
Saraswathi, Saras,
[756]
Schucany, William R.,
[785]
Saba, L.,
[908]
Sarbadhikari, S. N.,
[1138]
Schultheis, R.,
[1020]
Sabet, Razieh,
[81]
Saripinar, Emin,
[36, 73, 101]
Schwamborn, Kristina,
[387]
Sabet, R.,
[48]
Sarkar, Anita,
[847]
Schwartz, Jean-Marc,
[786]
Schwartz, L.,
[237]
Schwefel, Hans-Paul,
[189]
Sebald, A. V.,
[920, 558]
Seburyano, G.,
[979]
Sedykh, Aleksandr Y.,
[619]
Seitz, Jr., Kerry A.,
[408]
Seki, H.,
[449]
Sekiya, Masaru,
[292]
Sekkal, Mansouria,
[1107]
Selber, K.,
[1024]
Selinger, Douglas W.,
[789]
Senger, Ryan S.,
[881]
Sa, S.,
[941]
Saadatzi, Mohammad Nasser,
[1109]
[1077]
Sabin, Andrew T.,
[845]
Sarkar, Susanta K.,
[335]
Sacchettini, James C.,
[109]
Sarkhosh, Maryam,
[52]
Sadanandam, Abbagani, [75]
Sarrafzadegan, Nizal,
[880]
Sadeghi, Masoumeh,
Sasa, Yukako,
[60]
Saeedi, Nafise Erfanian, [748]
Sasaki, Satoshi,
[708]
Saghaei, Lotfollah,
Sase, M.,
[200, 441]
[880]
[81]
Saghaie, Lotfollah,
[41]
Sasikala, M.,
[1026]
Saghaie, L.,
[103]
Satake, H.,
[975]
Sagi, Elad,
[872]
Sathya, Shree Rajesh K., [731]
Saha, Achintya,
[96]
Saven, Jeffery G.,
[83]
Saha, Sriparna,
[420]
Savinova, T. A.,
[712]
Saha, Vaskar,
[42]
Sawall, Stefan,
[412]
Sahin, Kader,
[36, 73]
Scachetti Pereira, Ricardo,
Sahiner, Berkman,
[457, 464,
[628]
Sengupta, Soumi,
[87]
Scalerandi, M.,
[494]
Sepulveda, Francisco,
[1108]
Schaffer, J. David,
[680]
Sergi, Pier Nicola,
[1105]
Settouti, Nesma,
[1107]
Seyhan, N.,
[673]
940, 507]
Saidman, Elbio,
[870]
Schell, M. C.,
Sajjadifar, Sami,
[115]
Sengupta, Sanghamitra, [755]
[585, 1135,
1136, 484, 993]
Sakamoto, Hiroshi,
[109]
Scher, Howard I.,
[57]
Sakamoto, Shinchi,
[600]
Scherg, Michael,
[150]
Sakanashi, H.,
[998]
Scherg, M.,
[1003]
Sale, Mark E.,
[57, 848]
Schettino, L.,
[782]
Sale, Mark,
[105]
Scheubert, Lena,
[740, 805, 821]
Sali, Rasoul,
[880]
Schierz, Amanda C.,
[1148]
Schiex, Thomas,
[186]
Schiffman, Susan S.,
[1087]
Schirmer, R. Heiner,
[601]
Schizas, C. N.,
[562, 563]
Schizas, Christos N.,
[935]
Shabani, Ali Mohammad Haji,
Shafiei, Mohammad,
[104]
Shah, Nilay D.,
[784]
Shah, Priyanka,
[78]
Shah, S.,
[747]
Shah, Vijay,
[414]
Shahabipour, Sara,
[74]
Shahin, Rand,
[80, 93]
Shahlaei, Mohsen,
[41]
Shahlaei, M.,
[103]
Shaik, Osman S.,
[715]
Schlaghecken, Friederike, [801]
Shalom, David H.,
[316]
Schmid, P.,
[234]
Shamsi, Mousa,
[1118]
Santib´
an
˜ez-Koref, Ivan, [190]
Schmidt, E.,
[737]
Shamsudin, Norashikin, [774]
Santiso, Erik E.,
[97]
Schmidt, Evan,
[328, 344]
Shane, M. J.,
Santos, Antonino,
[462]
Schmidt, Rainer,
[740, 805, 821]
Shankar, Prakhya Laxmi Jaya,
Salmelin, Riitta,
[1157, 936,
1086]
Samarra, Miguel C.,
Sampson, Jessica,
Sandham, W. A.,
Sangermano, F.,
[1076]
[688]
[274]
[1101]
Santamar´ıa, Jos´
e,
[304, 321,
386, 395, 421, 432]
[52]
[649]
[75]
38
Genetic algorithms in medicine
Shao, Hongwei,
[854]
Siddiqi, Mohammad Imran,
Shapiro, Bruce A.,
[742]
Sidhu, Preetpal S.,
[107]
Soltanian, J.,
Shattuck, David W.,
[327]
Sidorenko, S. V.,
[712]
Soltanian-Zadeh, Hamid,[233, 255, 535]
Shavandi, Hassan,
[880]
Sierra, Basilio,
[945, 957, 960]
Song, D.,
[782]
Sheehan, N.,
[1156]
Sigut, J.,
[210, 1037]
Song, Enmin,
[733]
Shehadehh, Mayyada,
[61]
Sikdar, Utpal Kumar,
[420]
Song, Jiangning,
[176]
Shekhar, Raj,
[345, 360]
Silva, Aristofanes Correa,
Song, Min-ning,
[744]
Shelhamer, Mark,
[1029]
Silva, Bruna Lais,
Song, Rongmei,
[837]
Song, Xiaofei,
[417]
Song, Zhijian,
[356]
Soni, A.,
[993, 1014]
Sonka, Milan,
[448, 465, 230]
Sotelo, Marco,
[806]
Soule, Terence,
[688]
Sousa, Luisa Costa,
[808]
Souza, Pamela E.,
[845]
Spence, Jeffrey S.,
[785]
Spence, W. D.,
[274, 495]
[78]
[434]
[1060]
Shen, Chia-Ping,
[147]
Silva, Bruna La´ıs,
[1059]
Shen, Gary X.,
[337]
Silveira, P. S. P.,
[1085]
Shen, Jing Jin,
[802]
Silvern, D. A.,
[569]
Shen, Jingkang,
[62]
Silvern, David a.,
[572]
Shen, Lansun,
[232]
Silvern, D.,
[992]
Shen, Xizhong,
[763]
Silvoni, Stefano,
[1161]
Solomonidis, Stephan E.,
[513]
[970, 983]
Shen, Yi,
[373]
Simon, Dan,
[974]
Shenton, Martha,
[273]
Simpson, Mark R.,
[680]
Sherer, Eric A.,
[57, 105]
Sinauridze, Elena I.,
[35]
Sinclair, A.,
[184]
Spence, William D.,
[513]
Sing, Chong Chiet,
[640]
Spitzer, Klaus,
[235]
Sherman, Christopher J.,
Shete, Deepak,
[923]
[371]
Shi, Haiying,
[1056]
Singh, Harsimrat,
[801]
Sree, S. Vinith,
[908]
Shi, Jing,
[892]
Singh, Nitya,
[170]
Srinivasan, Radhika,
[773]
Shi, Leming M.,
[968]
Singh, Ranjit,
[409]
Srivastav, S. K.,
[110]
Shi, Tongwei,
[889]
Singh, Rinki,
[49]
Srivastava, Akanksha,
[56]
Shi, Weifang,
[888]
Singh, Yogendra,
[110]
Srivathsa, P. K.,
[392]
Shi, Yinghuan,
[429]
Sriwardhana, C.,
[595]
Shi, Yuhui,
[515]
Stables, James P.,
[750, 409]
Shibanuma, Nao,
[641]
Sirisha, Kalam,
[75]
Stahl, Martin,
[19]
Shibanuma, N.,
[672]
Siroic, Robert,
[760]
St¸
apor, Katarzyna,
[652, 669]
Shin, Chulkyu,
[493, 500]
Sitter, Beathe,
[1063]
Steele, Catriona M.,
[735]
[760]
Stefanescu, Horia,
[753]
Sipper, Moshe,
[579, 587,
598, 1006, 1015]
Shionoya, Akira,
[939]
Siwek, Krzysztof,
Shionoya, Akitaka,
[896]
Skinner, Cameron D.,
[812, 840]
Steffen, B.,
[1024]
Shirvany, Yazdan,
[148]
Skov, Thomas,
[905]
Steinwand, Miriam,
[728]
Shityakov, Sergey,
[108]
Small, Gary W.,
[973]
´
Stelle, Alvaro
Luis,
[149]
Shively, J. W.,
[947]
Smith, Stephen L.,
[689, 339]
Stemmer, Willem,
[29]
Shou, Guofa,
[671, 746]
Snowdon, G. M.,
[127]
Stender, Joachim,
[566, 567]
Shrivastava, Birendra,
[750]
Sobhan-Ardakani, S.,
[100]
Stenman, Ulf-H˚
akan,
[732]
Sobhan Ardakani, S.,
[113]
Stephanopoulos, Gregory,
Shu-Chien, Alexander Chong,
[34]
[797]
Shuo, Chen,
[320]
Soh, Chit Siang,
[642]
Stephens, C. R.,
[643]
Siarry, Patrick,
[311, 361, 364]
Soh, Zu,
[838]
Stevens, Kim B.,
[738]
Sibata, Claudio,
[1093, 626]
Solit, David B.,
[57]
Stevenson, David K.,
[1152]
Sibata, C.,
[199, 917]
Soliz, P.,
[290]
Stitzel, Joel D.,
[729]
Siccama, Ivar,
[647]
Solomonidis, S. E.,
[274, 495]
Stocks, Nigel G.,
[801]
Authors
39
Stoean, Catalin,
[753]
Suri, J. S.,
[908]
Tan, Jun,
[397, 399]
Stoean, Ruxandra,
[753]
Surov, Stepan S.,
[35]
Tan, Ou,
[505]
Stout, William,
[997]
Susanto, Ken,
[631]
Tang, Chuan Yi,
[722]
[662]
Tang, Jijun,
[182]
Tang, K. S.,
[951]
ˇ
Strancar,
Janez,
[250]
Suter, K. J.,
Strand, Carina,
[858]
Sutheeworapong, Sawannee,
Strang, J. G.,
[993, 1014]
Sutherling, W. W.,
[461]
Taniguchi, K.,
[482]
Stroganov, Oleg V.,
[59]
Suzuki, Hiroshi,
[708]
Tanino, Hiromasa,
[766]
Strong, D. D.,
[989]
Suzuki, Kenji,
[370]
Tanizaki, N.,
[474]
Stroylov, Viktor S.,
[59]
Suzuki, Michiyo,
[838]
Tao, Chao,
[1040]
Tao, Shiheng,
[180]
Tao, Ya-Lan,
[835]
Tapadar, P.,
[580]
Tapp, Henri S.,
[795]
Tarasiuk, J.,
[1073]
Tarassenko, Lionel,
[867]
Tardif, Jean-Claude,
[259]
Tavakoli, Behnoosh,
[1067]
Tavakoli, Hossein,
[68]
Tay, Darwin,
[1075]
Taylor, C. J.,
[216, 491, 226]
Taylor, F. A.,
[461]
[175]
Stubblefield, Michael A., [84]
Suzuki, T.,
[975]
Stufken, John,
[366]
Suzuki, Y.,
[1082]
Su, F. C.,
[1089]
Svaasand, Lars O.,
[1039]
Su, Fong-Chin,
[1032]
Svenmarker, Pontus,
[780]
Su, Haoxiang,
[885]
Svirsky, Mario A.,
[872]
Su, Mingbo,
[62]
Sweeney, A. W.,
[1097, 674]
Suaifan, Ghadeer A. R. Y.,
[61]
Swieszkowski, Wojciech, [832]
Subacius, Vytautas,
[223, 224]
Swift, Stephen M.,
[761]
Subbarao, Naidu,
[67]
Swift, Stephen,
[616, 336]
Szathmary, Eors,
[721]
Sze, Daniel Man-Yuen,
[874]
Subramaniam, Balachundhar,
Subramanian, R.,
[859]
[550]
Suganami, Yusuke,
[529]
Tabrizian, Kaveh,
[104]
Taylor, Jeffrey Sniffen,
[967]
Suganthi, Muthusamy,
[1120]
Tadikonda, Satish K.,
[465]
Taylor, Robin,
[139]
Sugiyama, K.,
[914]
Tadikonda, Satish Kumar,
Tazman, David,
[537]
Tejera, Eduardo,
[1127]
Temiralyeva, Gulnara,
[711]
Tendyke, Karen,
[72]
Sugumaran, Ramanathan,
[702]
Taga, Ichiro,
[448, 230]
[630, 646, 670]
Suh, Tae Suk,
[902]
Sui, Weiguo,
[1122]
Sui, Wenjun,
[863]
Taheri, Javid,
[1066]
Sulimov, Alexey V.,
[95]
Taherinia, D.,
[45]
Sulimov, Vladimir B.,
[35, 95]
Tai, David,
[38]
Sumathi, M.,
[367]
Takagi, Hideyuki,
[600]
Sumkin, Jules H.,
[717, 1102]
Takashibu, Midori,
[466, 487, 490]
Sun, Jizhou,
[299]
Talbi, El-Ghazali,
[623]
Sun, Lei Ming,
[739]
Tal-Botzer, Ronen,
[316]
Sun, Wei,
[203]
Talebi, M.,
[828]
Sun, Xiaoyan,
[890]
Talhami, Habib,
[443]
Thangavel, Vijayakumar,
Sun, Yung-Nien,
[436, 217]
Talley, S.,
[643]
Thedens, Daniel R.,
[915]
Sundaram, Suresh,
[756]
Taminau, Jonatan,
[90]
Theodosius, A.,
[562]
Tamura, Shinichi,
[472]
Thiran, Jean-Philippe,
[508]
Sundararajan, Narasimhan,
Taha, Mutasem O.,
[32, 33, 34,
47, 61, 80, 93]
Tengku Muhammad, T. S.,
[756]
[34]
Teo, Chee-Leong,
[865]
Terry, John R.,
[145]
Terzopoulos, Demetri,
[273]
Tezel, Gulay,
[179]
Thakur, Ankita,
[713]
Thakur, Rucha R.,
[411]
Thangavel, K.,
[1042]
[146]
Sundararajan, N.,
[779]
Tamura, S.,
[482]
Thissen, Uwe,
[795]
Sundararajan, V.,
[187]
Tan, Chao,
[719]
Thommes, J.,
[1024]
Sung, Hsiao-Ya,
[147]
Tan, Chin-Tuan,
[872]
Thompson, E. D.,
[994]
Suresh, S.,
[779]
Tan, Jen Hong,
[385]
Thompson, Paul M.,
[266]
40
Genetic algorithms in medicine
Thompson, S. A.,
[615]
Tsuji, Toshio,
[838]
Valderrama, Patr´ıcia,
[1059]
Thoreau, Etienne,
[18]
Tsujii, O.,
[476]
Valderrama, Patricia,
[1060]
Thorne, Bryan C.,
[1054]
Tsumura, Norimichi,
[376]
Valdivieso, M. C.,
[326]
Thurmond, James R.,
[818]
Tsurusawa, Ryoya,
[109]
Valentine, S. J.,
[813]
[693, 347, 391]
Tian, F.,
[852]
Tsuzaka, M.,
[504]
V¨
alisuo, Petri,
Tian, Huaiyu,
[855]
Tu, Zi-Wei,
[835]
Valli, Guido,
[1081]
Tian, Tianhai,
[176]
Tucci, Francesco,
[410]
Valli, G.,
[231]
Titkov, Y.,
[979]
Tucker, Allan,
[336]
Valsecchi, Andrea,
[421, 432]
Tiwari, Sunita,
[78]
Tuma, Jan,
[194]
Vandenhouten, Ralf,
[220]
To, Cuong,
[362]
Tung, Kai Che,
[722]
Vanderburg, Charles R., [177]
Toga, Arthur W.,
[266, 327]
Turkbey, Baris,
[414]
van Breukelen, Gerard J. P.,
Tohka, Jussi,
[281, 327]
Turner, David B.,
[141]
Van Craenenbroeck, Elke,
[776]
[860]
Tohsato, Yukako,
[896]
Turner, S. J.,
[536]
van den Branden, Martijn,
Tohumoglu, G.,
[673]
Turney, Peter D.,
[921]
van den Honert, Chris,
[645]
Toit, Lisa C. D,
[106]
Twelves, Dominique,
[851]
Van der Borght, Koen,
[860]
Tominaga, Yukio,
[137]
U, Rajendra Achary,
[385]
van Vlijmen, Herman,
[860]
Tong, Dong Ling,
[1148]
Uchikawa, Yoshiki,
[185]
Van Wesenbeeck, Liesbeth,
Tong, Han-Seng,
Uddin, Reaz,
[82]
Vanneschi, Leonardo,
[678]
[459]
[445]
Vasanyi, I.,
[372]
Ueda, Hitoshi,
[637]
Tong, Jia,
Uesawa, Y.,
[88]
Vasas, Vera,
[721]
Uguz, Harun,
[1053]
Vasquez, C.,
[223]
Uhl, Andreas,
[331]
Vass´
anyi, I.,
[1146]
Uhlig, Sandra,
[387]
V´
ecsei, Andreas,
[331]
Ul-Haq, Zaheer,
[82]
Veith, P. D.,
[862]
Underwood, Daniel J.,
[784]
Vellore, Nadeem A.,
[84]
Velthuizen, R. P.,
[1083, 534]
[743]
[860]
Tong, Muchenxuan,
[876]
Tong, Ruofeng,
[319]
Tongsima, Sissades,
[903]
Torabinejad, Farhad,
[748]
Torisu, Tasuhiro,
[445]
Torrealba, V.,
[223]
Torresen, Jim,
[593]
Velthuizen, Robert P.,
[463]
Tourassi, G. D.,
[469]
Uno, M.,
[504]
Venkatesan, Amouda,
[844]
Treadwell, Jim N.,
[698]
Uppu, Rao M.,
[84]
Venko, Katja,
[116]
Tresp, Christopher,
[912]
Urbani, Andrea,
[787]
Vennart, W.,
[539]
Treugut, H.,
[234]
Uribe, Eli´
ecer Herrera,
[736]
Verheyen, Ann,
[860]
Tripathi, C. K. M.,
[56]
Urushidani, Tetsuro,
[794]
Verkhivker, Gennady M.,
Tripathi, Laxmi,
[409, 77]
Urushihara, S.,
[975]
Verkruysse, Wim,
[1039]
Tropsha, Alexander,
[123]
Uutela, Kimmo,
Verlinden, Yvan,
[860]
Trout, Bernhardt L.,
[97]
Vesin, Jean-Marc,
[509]
Viator, John A.,
[1039]
Vico, F.,
[592, 599]
Tsai, Du-Yih,
Undrill, Peter E.,
[440, 454,
468, 477, 958, 488]
[1157, 936,
[923, 937]
1086]
Vaarkamp, Jaap,
[594]
Vachtsevanos, George,
[1034]
[573, 292,
496, 963, 517, 990]
Tsai, D.-Y.,
[984]
Vaerman, Vincent,
[508]
Tseng, Hung-Fu,
[720]
Vahdani, Saadat,
[98]
Tsouris, Pantelis,
[679, 684]
Vahle, Katherine,
[24]
Viikki, Kati,
Tsuda, N.,
[1082]
Vaidyanathan, Ravi,
[904]
Villard, Pierre-Fr´
ed´
eric, [1061]
Tsui, Hung Tat,
[252]
Vainio, Mikko J.,
[30]
Villard, Pierre-Frederic, [406]
Tsuji, M.,
[938, 941]
Valafar, Faramarz,
[208]
Villeneuve, Daniel,
Vidal, Franck P.,
[363, 374,
1061, 406]
[591, 1000]
[174]
Authors
41
Villmann, B.,
[943]
Wang, Lihong V.,
[627]
Wei, Gehong,
[180]
Villmann, Th.,
[943, 978]
Wang, Lijun,
[863]
Wei, Yuhui,
[89]
Vineetha, S.,
[830]
Wang, Lisong,
[449]
Weinstein, John N.,
[968]
[453]
Vinterbo, S.,
[582, 1008]
Wang, Manning,
[356]
Weistra, J.,
Virmani, Jitendra,
[425, 433]
Wang, Mei,
[863]
Wellen, Jeremy,
[335]
Voigt, Hans-Michael,
[190]
Wang, Qiuju,
[726]
Weller, P.,
[928]
Volmer, Marcel,
[596]
Wang, Rong-Lin,
[174]
Wellmann, Axel,
[387]
von Seelen, Werner,
[605]
Wang, Shaomo,
[874]
Wells, Richard,
[688]
Voronine, D. V.,
[1158]
Wang, Shen-Tsu,
[1131]
Wen, Cheng-Hao,
[1125]
[357]
Vossius, G.,
[1021, 568]
Wang, Shipeng,
[177]
Wen, Lingfeng,
Vyjayanti, V. N.,
[747]
Wang, Shiyuan,
[769]
Wen, Qiaojun,
[1152]
Waagen, Don E.,
Wang, Shouyan,
[904]
Werner, James Cunha,
[622]
[925]
Waelbroeck, H.,
Wang, Shuyuan,
[769]
White, Bill C.,
[164]
[643]
[351]
[86]
[287]
Wang, Song,
Whitebay, Eric,
Wager, Tor D.,
[1066]
[85]
[34]
Wang, Tai-Chun,
Wichard, Jorg,
Wahab, Habibah A.,
Wicker, R.,
[632]
Widmalm, Goran,
[847]
Wilkerson, R. C.,
[706]
Wilkerson, Richard C.,
[1098]
Wilkinson, A. A.,
[452]
Willett, Peter,
[139, 141]
Williams, G. B.,
[524]
Williams, N.,
[922]
Wakao, S.,
[976]
Wang, Wanliang,
[820]
Wakefield, Gregory H.,
[610, 645]
Wang, Wei,
[831]
Walsh, Matthew C.,
[700]
Wang, Xiao Hui,
[397]
Walsh, Sarah K.,
[752]
Wang, Xiao-Hui,
Walters, D. Eric,
[438]
Walther, Jason L.,
[797]
Wan, Jianping,
[99]
Wan, Mingxi,
[1030, 1031,
980]
[985, 986,
1011, 1013, 542, 545]
Wang, Xingwei,
[1102, 397,
399, 417, 841]
Wang, Yaming,
[746, 873]
Wang, Yanqiu,
[769]
Wang, Yi-Ming,
[835]
Williams, Richard A. J., [699]
Wang, Aimin,
[232]
Wang, Yiting,
[196]
Wang, C. Y.,
[171]
Wang, Yonghua,
[44]
Wilmot, Beth,
[811]
Wilson, Julie,
[804]
Wilson, M.,
[290]
Wilson 3rd, D. M.,
[747]
Windsh¨
ugel, Bj¨
orn,
[732]
Winston, Flaura K.,
[576]
Wang, Chen,
[69]
Wang, Yong,
[53]
Wang, Ching-Lin,
[402]
Wang, Yuan,
[703]
Wang, Chuin-Mu,
[402]
Wang, Zunliang,
[584]
Wang, Chun-Lin,
[1125]
Wangikar, Pramod P.,
[817]
Winter, Susanne,
[352]
Wang, Dong,
[429]
Wanschura, T.,
[539]
Winterer, G.,
[930]
Wang, Fang,
[69, 864]
Ward, Ann,
[851]
Wiratunga, Nirmalie,
[743]
Wang, He-yao,
[53]
Ward, Jamie,
[884]
Wolff, H. H.,
[965, 525]
Wang, Honghui,
[703]
Ware, J. A.,
[215]
Wong, Brian J. F.,
[691]
Wang, Hui,
[768]
Wasik, Szymon,
[907]
Wong, C. P.,
[946]
Wang, H.,
[353]
Wasson, E. C.,
[988]
Wong, David Shan Hill, [722]
Wang, Jaw-Lin,
[663]
Wasson, III, E. C.,
[981]
Wong, Ka H.,
[1072]
Wang, Jinjia,
[1055]
Wasson III, Eugene C., [926, 947]
Wong, Man Leung,
[238, 244]
Wang, Junmei,
[1009]
Watanabe, Masahiro,
[600]
Wong, Stephen T. C.,
[703]
Wang, Jun,
[703]
Watanabe, S.,
[963, 984, 990]
Wongsarnpigoon, Amorn,
Wang, J.,
[1096, 171]
Webb, S.,
[1092]
Woo, T.,
[632]
Wang, Leuo-Hong,
[119, 130]
Wei, Datong,
[464]
Wrba, Friedrich,
[331]
[705]
42
Genetic algorithms in medicine
Wright, Thomas,
[884]
Xu, Bing-Qing,
[835]
Yang, J.-J.,
[1142]
Wu, C. Y.,
[476]
Xu, Can T.,
[780]
Yang, Lei,
[769]
Wu, Guang,
[820]
Xu, Chungui,
[876]
Yang, Ming,
[874]
[182]
Wu, Hao,
[763]
Xu, Erhe,
[800]
Yang, Ning,
Wu, Jackie,
[626]
Xu, Jingru,
[1151]
Yang, Shi-Ming,
[726]
Wu, Jia-nan,
[173]
Xu, Kexin,
[651]
Yang, Ting,
[1152]
Wu, Jin-Ming,
[147]
Xu, Ling,
[874]
Yang, Xiao-Lin,
[716]
Yang, Xiuyan,
[651]
Yang, Xuming,
[868]
Yang, Yong,
[358]
Yang, Yubin,
[429]
Yanmaz, Ersin,
[36, 73]
Yanti, R.,
[908]
Yao, Chang,
[324]
Yao, D. Z.,
[633]
Wu, J.,
[852]
Xu, Weidong,
[841]
Wu, Kuo-Chuan,
[741]
Xu, Wenfang,
[69]
Wu, Tong,
[719]
Xu, Xiangyang,
[733]
Wu, W. L.,
[1089]
Xu, Xiaojie,
[1009]
Wu, Wen-Jie,
[415]
Xu, Xiaoyan,
[192]
Wu, Wen-Lan,
[1032]
Xu, Zhigang,
[499]
Wu, Wenwu,
[180]
Xu, Zhi-jian,
[53]
Wu, Xiaoming,
[893]
Xuan, Nguyen Vinh,
[817]
Yao, J.,
[633]
Wu, Xinan,
[89]
Xuan, P.,
[171]
Yao, Qiu-Yan,
[833]
Xue, Jinyue,
[626]
Yao, Xiaojun,
[40, 89]
Xue, Mengzhu,
[62]
Yao, Xin,
Xue, Ruyi,
[763]
Xue, Ying,
[885]
Wu, Xingen,
[584, 1091,
602, 606, 704]
Wu, Yanjun,
[335]
Wu, You-Min,
[995]
Wuu, C. S.,
[992]
Xi, Lili,
Xi, Xin,
Xia, Chengyun,
Xia, Ling,
Xia, Ting,
Yaguchi, Toshiyuki,
[670]
Yamada, Atsumi,
[109]
Yamada, Hiroshi,
[794]
Yamada, Toru,
[794]
Yamaguchi, Kento,
[109]
[40, 89]
[726]
[719]
[671, 746]
[744]
Yamany, Sameh M.,
[479, 953,
Xia, Yong,
[357]
Xia, Yun-Fei,
[835]
Yamashita, Fumiyoshi,
[60]
Xiang, Bingren,
[831]
Yan, Macheng,
[868]
481, 511, 522, 537]
Xiang, Suyun,
[831]
Yanch, J. C.,
[916, 523]
Xiao, Di,
[724]
Yang, Bingen,
[631]
Xiao, Hong,
[855]
Yang, Bin,
[1151]
Xiao, Yong Liang (Leon),
[121]
Yang, Cheng-Hong,
[720, 741,
781, 807, 1125, 839, 842, 178, 181]
[450, 959,
1012]
Yao, Yang,
[1129]
Yao, Yingying,
[302]
Yap, Chun Wei,
[749]
Yasuno, T.,
[975]
Yau, D.,
[279]
Yazgan, E.,
[516, 541]
Ye, Fuyuan,
[868]
Ye, X.,
[326]
Ye, Yi-Fang,
[833]
Yeadon, M. R.,
[745, 827]
Yeh, Jinn-Yi,
[343]
Yen, G. G.,
[261]
Yeung, Lam Fat,
[1149]
Yi, Wei,
[835]
Yin, Lihong,
[803]
Yin, Linlin,
[800]
Yin, Xiaohong,
[341]
Ying, Wei,
[372]
Xie, Dexin,
[354]
Xie, Shaofei,
[831]
Xin, Y,
[197]
Yang, Fan,
[885]
Xing, Lei,
[626]
Yang, Feng,
[405, 423]
Y Montiel, Sergio Vazquez,
Xing, L.,
[621]
Yang, Genke,
[1149]
Yokoi, H.,
[998]
Xinhe, Xu,
[372]
Yang, Guozhen,
[499]
Yoon, Hee Sung,
[354]
Xiong, Bing,
[62]
Yang, Hanchun,
[169]
Yoon, Hyejin,
[818]
Xiong, Hong-Lian,
[1065]
Yang, Jianhua,
[801]
Yorita, Krista L.,
[700]
Xiong, Linfei,
[865]
Yang, Jinn-Moon,
[1023]
Yoshida, Hiroyuki,
[1111, 416]
Yang, Cheng-Huei,
[741, 781,
807, 842, 181]
[1069]
Authors
43
Yoshida, H.,
[492]
Zhang, Feng,
[1056]
Yoshizawa, Shuji,
You, Jia,
Yousif, Nada,
[552]
Zhang, Hang,
[203]
[1056]
Zhang, Heng,
[873]
Zheng, Chongxun,
[1056]
[904]
Zhang, Hongying,
[299]
Zheng, Ming,
[173]
Youssef, Abou-Bakar M.,[313]
Zhang, J. B.,
[585, 993]
Zheng, Wanjun,
[72]
Youssef, Abou-Bakr M., [329]
Zhang, Jialong,
[169]
Zheng, Weifan,
[123]
Yu, Bing,
[426]
Zhang, Jian-Zhong,
[724]
Zheng, Wei,
[757]
Yu, Jiangbo,
[324]
Zhang, Jiawan,
[299]
Zhivkova, Zvetanka,
[91, 94]
Yu, Melvin J.,
[72]
Zhang, Jie,
[1056, 797, 69]
Zhong, Yingchun,
[355]
Yu, Sung-Nien,
[829]
Zhang, Jingyu,
[784]
Zhou, Chun-guang,
[173]
Zhang, Jing-Yu,
[835]
Zhou, Lei,
[169]
Zhang, Jing,
[318]
Zhou, Min,
[891]
Yu, Yan,
[603, 1135,
1136, 484]
Yu, Y.,
[585, 993,
1014]
Zheng, Bin,
[717, 1102,
394, 397, 399, 417, 841, 985, 986,
1011, 1013, 542, 545]
Zhang, Jinming,
[997]
Zhou, Qibing,
[107]
Yuan, Jintao,
[803]
Zhang, Lan,
[800]
Zhou, Rong,
[169]
Yuan, Qingwei,
[341]
Zhang, Lei,
[449]
Zhou, Su-Min,
[694]
Yudate, Henrik T.,
[794]
Zhang, Pengpeng,
[1093, 626]
Zhou, Wei-Zhi,
[147]
Yumusak, Nejat,
[1103]
Zhang, Rong,
[1039]
Zhou, Xianxiao,
[889]
Yusim, Karina,
[818]
Zhang, Ru-mian,
[744]
Zhou, Xiaobo,
[703, 854]
Zacharia, E.,
[213]
Zhang, Shuwei,
[44]
Zhou, Xiaodong,
[1031]
Zhang, Su,
[303]
Zhou, Xiaozhou,
[299]
Zhang, Ting,
[885]
Zhou, Yaoyao Cui Xiaodong,
[173]
Zadeh, Ataollah Ebrahim,
[1052]
Zaider, Marco,
[569, 1095,
615]
Zaider, M.,
Zain, Rosnah Binti,
[237, 992]
Zhang, Xiang,
[893]
[758]
Zhang, Xiaodong,
[1123]
Zhu, Feng,
[768]
[746, 873]
Zainuddin, Roziati,
[1113]
Zhang, Xiao,
[726]
Zhu, Lingyan,
Zakian, K. L.,
[237]
Zhang, Xingyi,
[60]
Zhu, Peijuan,
[855]
Zalis, Michael E.,
[1111]
Zhang, Xiujie,
[373]
Zhu, Quing,
[1067]
Zhang, Xixing,
[855]
Zhu, Ting,
[348]
Zhang, Yan-Jiao,
[1065]
Zhu, Weihua,
[768]
Zhang, Yanli,
[354]
Zhu, Wei-liang,
[53]
Zhang, Ying,
[429]
Zhu, X. Ronal,
[1123]
Zhang, Yinwen,
[180]
Zhu, Xue-lian,
[53]
Zhang, Yi,
[355, 356]
Zhang, Yuannv,
[889]
Zhuang, W.,
[1158]
Zhang, Yuanxiu,
[430]
Zia, Sultan,
[413]
Zhang, Yue,
[1122]
Zimmermann, Michael, [756]
Zaliz, Romero,
[209]
Zamboglou, N.,
[612, 614,
1140, 1002]
Zamora, G.,
[290]
Zamudio, Victor,
[806]
Zandkarimi, Majid,
[104]
Zang, Yuwen,
[449]
Zare, A.,
[1104]
Zeifman, Alexey A.,
[59]
Zelefsky, M. J.,
[237]
Zeng, Mu-Sheng,
[835]
Zeng, Weihua,
Zerbato, Davide,
[1030]
Zhou, You,
Zerbst, Ekkehard W.,
[564, 1019]
Zervakis, M.,
[575]
Zhang, Ao,
[53]
Zhang, B. Y.,
[484]
Zhang, Chun,
[835]
Zhang, Danying,
[763]
Zhang, Fangfang,
[864]
Zhang, Fang,
[379]
[584, 1091,
602, 606]
Zhang, Yunong,
[893]
Zitzler, Eckart,
[165]
Zhang, Yuquan,
[868]
ˇ
Zohara,
Petra,
[657]
Zhang, Yu,
[1040]
Zomaya, Albert Y.,
[1066]
Zhao, Jian,
[855]
Zou, Xiao-Yong,
[836]
Zhao, Shanrong,
[128]
Zuley, Margarita L.,
[717]
Zhao, Weihong,
[893]
Zupanic, Anze,
[775]
Zhao, Wu-lan,
[726]
Zuperl, Spela,
[116]
Zhao, Yaou,
[1151]
Zwickl, Derrick J.,
[163]
Zhao, Yongming,
[303]
Zwir, I.,
[209]
Zhao, Zhimin,
[768]
Zhao, Zhongxu,
[232]
[888]
[677]
Zhu, Yunping,
total 1153 articles by 3347 different authors
44
Genetic algorithms in medicine
4.7
Subject index
All subject keywords of the papers given by the editor of this bibliography are shown next.
ABC,
[1070, 428]
ACO,
[1120]
acoustics,
[561]
actuators
piezo-electric,
[631, 655, 662]
automation
classification,
remodelling,
[1037]
Baldwin effect,
[183]
[1005],
Bayesian networks,
[945]
brachytherapy
implant,
bibliography
acupuncture,
[449]
medicine,
[1018]
agents,
[273]
special,
[1018]
AIS,
[1126]
analysing GA
selection,
[393]
analytical chemistry
markers,
[316]
[698]
angiogenesis
cancer,
[732]
brain-computer-interface,
brainstem
disease genes,
[864]
DNA,
[214]
signatures,
[789]
genetics,
retina,
[358]
[1142, 188,
1027]
phylogeny,
[663]
CADD,
[936, 1086,
[1137]
[136]
blood
blood circulation,
[194]
[632]
blood vessels,
[1041]
[768]
bone
texture,
calibration
[597]
cancer
parameter estimation,
[922]
[1054]
[22]
NIRS,
bioprocesses
medicine?,
modeling,
[953, 625]
shape design,
[1071]
[566]
arteries
CAD,
[18, 19]
[919]
medicine,
arterial stenosis,
chemical,
medicine,
1157]
serum,
building blocks
[1076]
brain activity,
[346]
[931]
[617]
[279]
biotechnology,
[793]
[691]
biophysics
medical,
relapse time,
mechanism,
antennas
[361]
breast cancer
face,
[311, 311]
liver,
[736]
[163]
[254]
biomechanics,
[958]
auditory evoked potentials,
breeding,
[311]
applications
[266]
[181, 1152]
ICG,
[226]
[465]
MRI imaging,
brain anatomy,
[167]
medical imaging,
MR imaging,
[619]
fitness,
[1141]
[287]
UV,
[1035]
application,
hemodynamics,
[438]
fluorescein,
[183]
[341]
proteins,
[161, 162]
antibodies,
[435]
hematoma,
[135]
D. Melanogaster,
MRI,
corpus callosum,
peptides,
[377, 382]
ant systems,
brain
[208]
3D,
retinal,
[1140]
[136]
biology
angiography
[1143]
microarrays,
bioinformatics,
aneurysm
aortic,
biochemistry,
[778]
book review
[624]
biomarkers,
[835]
bladder,
[638]
brachytherapy,
[704]
breast,
[469,
947, 979, 981, 518, 988, 1006, 535,
1011, 542, 233, 205, 587, 255, 609,
210, 293, 1037, 193, 323, 328, 1042,
720, 1102, 737, 397, 398, 793, 1063,
1120, 415, 178, 851, 426, 889]
brest,
[445, 242, 263]
cervical,
[719, 757]
chemotherapy,
[635]
artificial life,
[1085, 273]
ASPARAGOS,
[154, 155]
degradation,
[804]
chemotherapy control,
atrial fibrillation,
[657]
prosthesis,
[599]
colon,
bones
[1110]
[331, 799, 830]
Subject index
decision support,
45
hospital stay,
[749]
cancer,
[859]
[210, 331,
755, 856]
detection,
[926]
imaging,
[496, 305, 362]
drug design,
[51, 75]
infarction,
[1008]
genetics,
[755]
risk model,
[1057]
feature selection,
[887]
[754]
fuzzy,
[292]
heartbeat,
[1107]
heartbeats,
[1052]
medical diagnosis,
[339]
medical images,
[362]
noun,
[796]
RNA,
[171]
rules,
[944, 961]
soft tissue,
[1111]
swallow,
[735]
tachycardia,
[906]
tissue,
[940]
tumors,
[456]
EEG,
leucemia,
[428]
stents,
leukemia,
[110]
CAT,
[677]
liver,
[803, 425, 433]
cDNA,
[213]
lung,
[278, 408,
cellular automata,
[201]
1119]
cephalogram,
mammograpgy,
[540]
[262]
chemical shift
mammography,
[533, 206,
lipid-water,
239, 243, 245, 247, 265]
markers,
[297]
chemistry
[846]
melanoma,
[945, 960,
965, 588, 280, 283, 289, 627, 548,
549, 351, 747]
analytical,
[973, 1024,
804, 863]
combinatorial,
nasopharyngeal,
[139]
[1065, 835]
drug design,
oral,
[120, 121,
128, 131, 133, 134, 138, 99]
[166, 758,
1125]
ovarian,
[141]
medical,
[438, 409]
medicinal,
[132]
organic,
[127, 634]
physical,
[117, 119]
classifier
[325, 732,
784, 414]
radiotherapy,
[572, 574,
602, 1044, 1099, 1049, 1050]
sarcoma,
macromolecule,
[713, 908]
prostate,
fuzzy,
emergency,
[942,
955, 130, 137, 140, 18, 19, 22, 25,
30, 772, 55, 64, 65, 71, 76, 78, 79,
84, 847, 852, 101, 103, 109]
[784]
skin tumor,
[525]
spectral imaging,
[426]
survival,
[1063]
drug design,
[71]
treatment,
[954]
human serum,
cancer classification,
[756]
QSAR,
cancer radiotherapy,
[971]
CANFIS,
[550]
infrared spectroscopy,
cardiology,
[520, 292]
wavelength selection,
chemometrics,
[675]
[660, 348]
[908]
feature selection,
[478]
features,
[1145]
fuzzy,
[1108]
[905]
heartbeat,
[760]
[707]
lymph diseases,
[1074]
mammography,
[733]
medical,
[383]
spectral,
[1145]
SVM,
[876]
[816, 92]
[596]
[642]
chemotherapy,
[527]
CHN,
[128]
chromatography,
[1024, 92]
beats,
[1052]
gas-,
diagnosis,
[573]
classification,
Doppler,
[1053]
ECG,
[671, 824]
echo cardiography,
[259]
Bacillus,
elastography,
[348]
biomedical information,
heartbeat,
[1107]
biopsy,
breast tumors,
[760]
[560, 962,
1161]
cancer,
chemometry
[970]
heartbeat recognition,
[1166]
classifiers,
screening,
atherosclerotic plaque,
[553, 562,
929, 576]
structural,
arrhythmia,
[951, 1070]
classifier systems,
[569]
acute coronary syndromes,
[146, 801,
898, 899]
clinic
scheduling,
[892]
cluster analysis
[767]
[563, 918,
457, 952, 481, 505, 541, 575, 234,
578, 595, 598, 622, 1037, 1053]
classification
evolutionary,
[697]
clustering,
[588, 262,
265, 623, 652, 669, 336]
clinical data,
[943]
DNA,
[209]
feature selection,
[623]
[429]
fuzzy,
[1083]
[415]
gene expression,
[819]
[725]
[420]
46
Genetic algorithms in medicine
initialization,
[365]
Maxent,
[706]
reconstruction,
[497]
k-means,
[888]
Nelder-Mead,
[557, 1079]
ROI,
[372]
protein interaction, [886]
neural networks,
[945, 1035,
1035]
toxicity,
[586]
particle swarm,
[381, 388]
clusters
SA in image registration,
rare disease,
[333]
[762]
simple
co-evolution
stochastic
algorithm,
[1156]
cooperative,
[598]
simulated annealing,
[226, 129,
1088, 340]
cochlea
implant,
real,
Very
Fast
Simulated
Annealing, [557]
[584, 896]
coevolution,
[629]
fuzzy,
selective,
cognition
[287]
visual,
[1163]
[508]
computer graphics
color,
color
[344]
polygonal approximation,
medical image visualisation, [312]
[344]
control,
comparison
classification methods,
[1000]
cost-sensitive classification,
GA worse,
[1156]
human,
[688]
image registration,
[352]
in classification,
[1035]
in CT reconstruction,
[921]
in diagnosis,
[985, 1013]
in docking,
[142]
in image registration,
in image thresholding,
[428]
in machine learning, [918, 805]
in medical data mining,
[258]
in melanoma prediction,
[960]
[566]
data mining,
[244]
medical,
[238, 244, 288]
retrieval,
[288]
datamaining,
[698]
medical,
[527]
medical,
[1038]
[629]
motion,
[339]
medical,
[484]
prosthesis,
[667]
protheses,
[554]
wheelchair,
[1109]
[932]
[1104]
prosthetic hand,
[593]
[1167]
crossover
real,
[584]
CT
brain,
[341]
cancer,
[403]
[340]
lung,
imaging,
[511]
periodontal,
[862]
EEG,
[1068]
chemical penetration,
[659]
dermatoscope,
[351]
erythema,
[693]
lesions,
[401]
skin lesions,
[400]
urticaria,
[868]
wound healing,
[673]
design
by human,
[890]
implant,
[640, 664]
[372, 399,
detistry
1061]
micro-,
dentistry
dermatology
fuzzy,
criminology,
[921, 166]
depression
[950]
[647]
[208]
diagnostics,
in regression,
logistic regression,
microarrays,
[809]
[382]
[1059]
[236, 258, 392]
glucose,
angiography,
in wavelength selection,
medical,
decisions
[129]
reconstruction,
[968, 238,
674, 420]
[920]
in protein folding,
tomography
[236]
blood pressure,
controllers
384, 386, 388, 395]
medical,
decision trees,
fuzzy,
[349, 381,
data analysis
[1080, 610]
controller
[497]
[210]
decision support systems
Conus geographicus, [942]
visualization,
imaging,
decision support
[1147]
conotoxin
colors
[1037]
databases,
computational geometry, [137]
testing,
in
Re-
compression
[587]
[1105]
image processing,
[968]
vector quantisation, [913]
coding
axonal outgrowth,
data mining,
stepwise linear regression,
[375]
cytology
[412]
periodontitis,
[207]
Subject index
47
diabetes
transposable elements,
diagnosis,
[840]
docking,
fuzzy reasoning,
[1058]
drug design,
glucose control,
[1104]
glucose sensing,
[650, 651]
leg ulcers,
[368, 195,
[160]
[125, 126]
[20, 117, 118,
119, 122, 123, 125, 126, 127, 130,
132, 133, 134, 135, 136, 137, 139,
140, 141, 18, 19, 21, 22, 23, 24, 25,
26, 28, 60, 106]
EEG,
classification,
[144]
epilepsy,
[145, 146]
electrical impedance tomography
reconstruction,
electromagnetics,
drug design
[1035]
retipathy,
[547]
sensoring,
[649]
diagnosis,
breast cancer,
cancer,
[452, 461,
antibiotics,
[56]
antennas,
[279]
cancer,
[42]
brain stimulation,
[1160]
computational,
[30, 75]
Kirlian imaging,
[234]
de novo,
[87]
microwaves,
[314]
DNA breeding,
[29]
MRI,
[302, 313]
docking,
[74]
tissue,
[798]
[1035]
retinopathy,
[1036]
473, 976, 1157]
1048, 390]
retinal images,
[930]
[1090]
[598, 328]
HIV-1,
[49]
in silico,
[63]
electromagnetism
[951, 1011,
1015]
coils,
[506]
cardiac disease,
[550]
MMP-12 inhibitors, [31]
electromyogram,
[493]
cardiology,
[573]
pharmacokinetics,
elitism,
[1138, 506]
EMG,
[563, 500]
[57]
QSAR,
diabetes,
[1035, 1035]
failure,
[578]
[124, 32, 33,
34, 36, 37, 38, 39, 40, 41, 43, 47, 48,
52, 54, 69, 81, 82, 90, 91, 94, 96, 98]
fault,
[253]
renal anion transporter inhibitors,
[89]
mammography,
[965]
myocardial heart disease,
[990]
[644]
diagnostics
caries,
tuberculosis,
engineering
screening,
[61]
aerospace,
[253]
SVM,
[53]
civil,
[314]
thrombin inhibitor, [35]
mechanical,
[663, 1076]
virtual screening,
[67]
medical,
[228, 314]
[956, 996]
nano-,
[649]
[538]
process,
[728, 731, 110]
radio,
[461]
ECG,
P wave,
[17]
confidence measure, [1051]
hypovolemia,
[730]
[1103]
dietary menu planning, [1146]
echocardiography,
[223, 224]
entomology
ecology
antrax,
distribution,
GARP,
[681]
[1097]
[192]
regression,
[380]
environment
pollution,
[888]
modeling,
[628]
malaria,
[949]
[636, 681]
vectors,
[636]
[593]
species distribution,
[674, 686,
1098, 699, 700, 711]
[594, 606]
[135, 136]
species distriution,
[197]
microarray,
[741]
edge detection,
motifs,
[1150]
EEE
heathcare,
source modeling,
epilepsy
prediction,
[702]
economics
analysis,
sequence alignment, [1156, 727]
epidemiology
[855]
discussion
DNA,
[310]
hemorrhagic fever,
niche modeling,
[602],
[310]
medical,
[428]
image registration,
digital logic,
flea,
[706, 710,
1101]
differential evolution,
[662]
[485, 486,
489, 240, 253, 261]
variable selection,
neural,
[986]
medical,
melanoma,
endocrinology
ergonomy
back,
[643]
[498]
[962]
erythema
UV induced,
evolution,
[150]
[1034]
incremental,
[693]
[153, 1020]
[593]
48
Genetic algorithms in medicine
interactive,
[687]
stack,
[454]
recombination,
[161, 162]
texture,
[477]
gamma knife,
[718]
simulation,
[167]
wavelet,
[1108, 1154]
GAP,
[129]
[660]
GARP,
evolution strategies,
[564, 561,
finite element mesh,
golf,
fish oil,
tomography,
Taguchi,
[674]
GIS,
[668, 679, 684]
influenca,
[696]
influenza,
[699]
malaria,
[1098]
medicinal plant,
[751]
monkeybox,
[700]
[15]
niche modeling,
[636, 710]
[224]
plague,
[695]
West Nile virus,
[702]
[691]
in tomography,
[317]
interactive,
[645, 676, 691]
fluorescence imaging
ICG,
[667]
[287]
[952, 489,
[380]
forensics
dental images,
[663]
982, 1000, 591, 253]
Fourier series,
FPGA
fuzzy,
[261]
medical,
[449, 257]
microarray,
DesktopGARP,
aesthetics,
[558]
[191]
expert systems,
feature extraction,
[711]
[270]
evolvable hardware
experimental design,
climate change,
fitness
evolutionary strategies
FPGA,
[815]
[1021, 568]
evolutionary programming,
1+1,
image processing,
[411]
fractals
IFS,
[1138]
[1148]
image analysis,
[1035]
[944, 961, 542,
26, 1055, 171, 1115, 846, 877, 113]
fuzzy logic
reasoning,
feature selection
fuzzy reasoning,
[963, 517, 984]
[609]
[741]
drug design,
[27]
oral cancer,
[758]
QSAR,
[38]
fuzzy rules,
[185]
[233, 255]
fuzzy sets,
[446]
fuzzy reasoningmachine learning
[663, 677]
Bezier surface,
[640, 664]
brain stem,
[1078]
elastography,
[348]
injury,
[729]
fuzzy,
drug production,
[449, 1006,
1015, 598, 210, 286, 629, 70]
[731]
Gibberella fujikuroi, [207]
figure copying task,
[339]
filters
Gabor,
[411]
matched,
[1041]
median,
[454]
[1119]
fuzzy systems,
fermentation
ARTMAP,
[46]
classification,
[730]
decision support,
[1113]
image segmentation, [382]
modeling,
[817]
genetic
gene regulation,
[761]
human,
[658]
genetic algorithm
classification,
genetic code,
[548]
[188]
genetic programming,
[915, 444,
471, 238, 620, 164, 283, 289, 657,
673, 678, 339]
genetic programming
classification,
[456]
image processing,
[282]
image analysis,
[912]
in biochemistry,
[207]
image segmentation, [419]
interactive,
[288]
neural network,
[550]
linear,
[258]
neural networks,
[830]
regression,
[647]
prediction,
[793]
[609, 629]
GA
genetics,
[153, 151,
152, 156, 154, 155, 183, 184, 158,
160, 166, 174, 181, 182]
genetics
interactive,
[890]
bacterial,
[185]
[557, 1079]
breast cancer,
[178]
D. melanogaster,
[161, 162]
[451, 293,
GADELO,
413, 422]
optical,
Gaussian mixture model
finite state machine, [1037]
FuzzyCoCo,
morphological,
[637]
gene regulatory network
DNA microarray,
FEM,
gastronomy
diet,
[540, 575]
feature selection,
features extraction,
[1097, 310,
681, 686]
1019, 912, 605]
medicine,
[826]
[280]
games
Subject index
49
DNA,
[159]
essential genes,
[180]
anastomosis,
[808]
gene expression,
[175]
brain,
[776]
gene order,
[177]
gene regulation,
[172]
gene regulatory networks,
gene-gene interaction,
hemodynamics
medical,
image processing,
[204, 226,
556, 200, 440, 468, 469, 476, 477,
480, 498, 533, 346, 422]
image processing
hepatitis
therapy,
[173]
[164]
[359]
3D,
[227]
automatic,
[282]
[753]
border detector,
[915]
[744]
hepatology
fibrosis,
mapping,
[186]
hip arthroplasty,
[599]
classification,
[516]
phylogeny,
[163]
histology,
[481]
compression,
[508, 1026]
promoter prediction, [170]
cancer,
[518, 210]
CT,
[543]
proteins,
lung,
[429]
edge detection,
[475]
enhancement,
[218]
[115]
feature extraction,
[463, 1083]
[157]
tissue classification, [940]
proteome,
[176]
RNA,
[171]
salmon,
[167]
drug design,
[45]
feature selection,
[458, 408]
selection,
[188, 168]
therapy planning,
[759]
filters,
[293, 413]
[46]
high-speed video,
[1040]
HIV,
sequence alignment, [187]
HIV-1,
SNP,
[165, 179]
human plasma
virus,
[169]
GENIE,
[638]
3D,
GFA,
triglycerides,
[597]
magnetic resonance, [915]
hybrid
matching,
[725]
downhill simplex,
[373]
[958]
FEM,
[660]
[488]
fuzzy logic,
[1025, 790]
[968]
GP and logic programming, [238]
microRNA precursors,
[769]
gradient,
GIS
[223, 224,
227, 229, 230, 231, 441, 443, 446,
447, 448, 455, 464, 470, 471, 507,
518, 234, 256, 1073]
glucose,
[973, 642]
local gradient,
[308]
Gnets,
[231]
local search,
[117, 322, 56]
maximum
[446]
likelihood
method,
[294]
parallel,
[362]
neural network,
grammars,
[103]
[238]
neural networks,
[935, 493,
995, 1025, 54, 56, 875, 880]
grippers
design,
GRNN,
[439]
motion estimation,
[305]
reconstruction,
[466, 472,
487, 490, 543]
registration,
[501, 1088,
254, 277, 371, 379, 421, 423, 432,
435]
restoration,
[454]
segmentation,
471,
232,
278,
652,
[910, 437, 448,
502, 505, 220, 523, 534, 544,
588, 266, 212, 273, 275, 276,
280, 624, 283, 289, 296, 638,
324, 343, 1118, 417, 1073]
[631]
perceptron,
[1128]
shape,
[216, 326]
[242, 263]
QSAR,
[90]
stereo,
[692]
simulated annealing,
hardware
[130, 1093,
211, 626]
evolvable,
morphological,
pattern recognition, [249]
[931]
gradient based method,
GP
[453]
medical,
[310]
GARP,
[225, 284,
335, 1064]
Bayesian network,
genome
geometric modeling,
image registration,
symmetry,
[368, 195,
1048, 390]
[998]
SVM,
health monitoring,
[228]
hearing aid,
[610]
hematology
[43, 44, 1111,
407, 415, 179]
tabu-search,
image analysis,
chromatography,
[767]
image correction
glycans,
[813]
deformation,
tacrolimus,
[833]
image fusion
texture,
[233, 255,
425, 433]
[300]
thresholding,
[428]
[308]
tomography,
[1036]
ultra sound,
[274]
wavelets,
[458]
[332]
image processing?,
[460]
50
Genetic algorithms in medicine
image registration,
[446, 511,
539, 1022, 191, 15, 311, 322, 328,
342, 355, 358, 370, 379, 381, 386,
388, 395, 403, 902]
multispectral,
[526, 335,
NMR,
[509, 524,
539, 237]
image registration
ultrasonic,
3D,
[227, 439,
501, 522, 252, 271, 300, 301, 304,
321, 356]
dental,
immune system
[1100]
simulator,
electrocardiography, [1132]
optical,
[203]
[499]
radiotherapy,
[581]
cochlear,
[639, 645, 676]
scattering,
[774]
design,
[640]
thermal,
[1082]
prostate,
[992]
tomography,
[353]
titanium,
[664]
simulator,
implant
bacteria,
[136]
Fortran 77,
[135]
FPGA,
[667, 692]
LabView,
[1080]
MIMD,
[117]
retinal angiograms, [364]
[421, 432]
image segmentation,
[14, 669]
Gaussian mixture model,
[377]
IMRT,
thresholding,
[1106]
[428]
indocyanine green
knowledge based systems,
Kohonen nets,
[257]
[552]
laparoscopy
artery cross-clamping,
[879]
laryngology
swallow,
[735]
ambulance locations, [708]
3D,
angiography,
[311]
tissue perfusion,
[380]
learning
[488, 305]
brain,
evolution,
[442, 306]
infection
color design,
CT,
influenza,
[696]
malaria,
[1098, 706]
plague,
[695]
[303, 1111]
eye,
[1041]
infections
fusion,
[737]
classification,
hyperspectral,
[712]
[207, 196]
Helicobacter pylori, [724]
Kirlian,
[234]
inflammation
magnetic resonance, [329, 1043]
intracellular signaling,
[722]
medical,
[440, 442, 453,
460, 464, 468, 469, 473, 474,
480, 483, 488, 491, 494, 495,
498, 507, 509, 511, 512, 514,
517, 520, 525, 532, 543, 546,
237, 249, 256, 259, 273, 280,
283, 289, 292, 293, 296, 1041,
influenza
avian,
[303]
insects
[166]
ligands,
[142]
LINKERS,
[1142]
liver,
[436]
angiography,
[382]
diagnosis,
[1126]
texture,
[212]
transplantation,
[833]
logic programming,
[238]
LVQ,
[913]
[696]
machine learning,
[729]
machine learning
injury
pulmonary,
[189]
learning classifier systems,
[737]
electrical impedance, [459]
MRI,
[592]
layout
imaging
459,
479,
496,
516,
547,
282,
426]
knee
arthroplasty,
implementation
voxel,
[143]
[641, 672]
implants,
[359]
EEG,
[1165]
[423]
retina,
[873]
neuromagnetism,
multiresolution,
[1064]
ECG,
[1086]
FEM,
PSO,
[1061]
MEG,
[333]
[384]
CT,
[1144]
multimodal,
optic nerve,
[229, 671]
[1086]
[528]
[303]
[375, 884]
inverse problems,
[314]
MRI,
non-rigid,
interactive GA,
medical,
[319]
[271, 192,
299, 330, 349, 373, 393, 405, 410]
[992]
electromagnetics,
local,
[1047]
[283, 289]
integer programming,
[967]
immunology,
[319]
mutual information,
[674]
[1144]
landmark,
non rigid,
[1030, 1031,
303, 425, 433, 908]
imaging skin,
fiducial configuration,
[496, 517, 251]
ultrasound,
CT and ultrasound, [352]
[16]
mosquitoes,
351, 799]
[562, 449,
935, 480, 959, 489, 1084, 981, 982,
548, 316, 698]
classification,
[1035]
Subject index
clustering,
51
brain,
[697]
Gaussian mixture model,
genetic programming,
[14]
[653]
image features,
[408]
kernel-based,
[669]
medicine,
[553]
macromolecules,
breast cancer,
[969]
[122, 139, 141]
cancer,
[203, 535,
coloring,
[328]
online,
compression,
[1026]
optical,
CT,
[466, 487,
497, 267, 268, 326, 341, 372, 377,
378, 399, 1061, 406, 412, 423, 430]
[278]
RNA,
[955]
dental,
[14, 15, 16, 17]
macrosomia,
[812]
dermatology,
[391]
diabetes,
[530]
drug discovery,
[335]
ECG,
[541]
EMRI,
[367]
vector invasion risk, [686]
endoscopy,
[331]
vectors,
fluorescence,
[380]
fMR,
[389]
mammography,
[445, 457,
940, 476, 988, 233, 255, 629, 292]
asymmetry,
diagnosis,
microcalcification,
mamography,
maps,
[588]
clinical,
[834]
matching,
[274]
mechanics
[194]
fluidics,
[632]
medical imaging,
441,
463,
505,
537,
239,
260,
370,
[225, 437,
445, 451, 454, 455, 457, 459,
476, 477, 478, 481, 482, 502,
518, 523, 526, 531, 533, 534,
540, 544, 545, 232, 233, 235,
243, 245, 247, 191, 255, 1030,
262, 265, 277, 298, 348, 352,
381, 384, 386, 388, 395, 429]
fusion,
[328]
heart,
[305]
histology,
[1037, 355]
image quality,
[402]
[522, 252,
268, 271, 272, 284, 192, 299, 303,
304, 318, 319, 321, 322, 345, 349,
360, 373, 393, 405, 410, 421, 432]
image segmentation, [306]
leucemia,
[428]
liver,
lung,
mammography,
[254]
[251, 281,
skin,
[401]
skin lesions,
[400]
sonar,
[458]
SPECT,
[268, 270]
surgery,
[356]
thermography,
[385]
thresholding,
[434]
tomography,
[436, 198,
490, 241, 248, 285, 300, 314, 317,
334, 334, 338, 340, 350, 353, 363,
365, 369, 374, 396]
tumors,
[456]
ultrasonic,
[470]
[513, 274,
276, 415, 427]
videofluoroscopy,
[1047]
visual,
[347]
visualisation,
[312]
visualization,
[344]
X-ray,
[504]
x-ray,
[309]
X-ray,
[1042]
[425, 433]
[403, 408,
416, 417]
MALDI,
registration,
ultrasound,
[510]
[191]
[462]
315, 1046, 376, 382]
[287, 404]
ITK,
[394]
radiographs,
segmentation,
[387]
[542, 1042,
397, 398]
medical imaging
[327, 357]
[1035, 290,
294, 308, 311, 324, 336, 342, 358,
359, 364]
fMRI,
impedance tomography,
fluid dynamics,
optical tomography, [325, 1067]
retina,
image registration,
mass spectroscopy
[351, 368,
pulmonary embolisms,
[1012]
[535]
[411]
195, 1048, 390]
PET,
[397]
[507, 249]
[452, 506,
524, 539, 343]
CT scans,
[1097]
[472]
NMR,
[135]
malaria
[356]
[485]
peptides,
[674]
neurology,
chest,
[21]
vectors,
[522]
[503, 508, 362]
docking,
malari
multi-modal,
cardiology,
[160, 214]
[229]
[529, 266,
271, 279, 291, 295, 354, 297, 302,
306, 313, 329, 332, 337, 1043, 366,
371, 407, 413, 414, 418]
neutron,
DNA,
magnetoencephalography,
MRI,
[422]
242, 263, 193, 323]
machine vision
registration,
[439, 465, 501,
528, 268, 275, 299, 301, 307, 330,
332, 333, 343, 357, 419, 430, 435]
medical imaging?,
[461]
[1022]
melanoma,
[548, 549]
angiography,
[286]
microwave,
[246]
ECG,
[431]
arteries,
[1031]
monitoring,
[294]
EEG,
[320]
blood vessels,
[447, 467, 475]
MR,
[286, 379, 435]
genetic programming,
3D,
medical signal processing
[149]
52
Genetic algorithms in medicine
medicien
cardiology,
Alzheimer’s disease, [177]
medicin
oncology,
[1050]
medicinal plant
distribution,
[751]
medicine,
[564, 558,
1019, 555, 557, 565, 1004, 583, 589,
608]
medicine
,
[791, 806]
[607, 223,
224, 231, 915, 920, 927, 931, 956,
217, 963, 1139, 503, 970, 517, 983,
984, 990, 532, 1008, 1030, 1033,
618, 657, 660, 671, 550, 675, 703,
709, 1052, 1053, 1107, 754, 1057,
760, 1113, 820, 824, 829, 859, 873,
1132, 906]
anaesthesiology,
[975]
anatomy,
[958, 624]
andrology,
[933]
anesthesia,
[578]
anthrax,
[668, 681]
antibiotics,
[56]
arteries,
[1054]
arteriology,
[656]
Bacillus anthracis,
[711]
bacteriology,
[863]
bibliography,
[1018]
biomarkers,
[794, 812]
blood,
[642, 768,
1059]
blood circulation,
[808]
brachyotherapy,
[993]
brachytherapy,
[612, 614,
1002]
EEG,
[913, 1138,
736, 147, 887, 898, 899]
Chinese,
[891]
[563, 935]
classification,
[560]
endoscopy,
[269]
environmental,
[613, 852, 888]
clinical classification,
[1075]
[559]
critical care,
[867]
Crohn’s disease,
[903]
CT,
[326]
cynegology,
[1117]
cytology,
[638, 1105]
data processing,
[916]
decision support,
1130]
decision tree,
[972]
dengue,
[636]
dentisry,
[1025]
dentistry,
[953, 828]
[1039, 659,
673, 693, 774, 401, 868]
diabetes,
[973, 649, 650,
651, 1104, 1058, 825, 840, 1070]
diagnosis,
[567,
921, 952, 959, 963, 1084, 219, 517,
982, 984, 985, 991, 1000, 531, 1006,
1013, 545, 573, 205, 206, 582, 595,
620, 622, 1035, 629, 647, 357, 1126]
diagnostics,
[246, 1094,
609, 680, 1051, 383, 1103, 730, 770,
1074]
[736]
brains,
[446, 448]
diet planning,
[637]
breast,
[841]
DNA,
[741]
[449]
drug design,
[121, 122, 127,
128, 129, 130, 131, 140, 142, 27, 28,
31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 46, 47, 48, 49, 50, 52,
53, 54, 55, 57, 58, 59, 60, 61, 62,
63, 64, 65, 66, 67, 68, 69, 70, 71,
72, 73, 74, 75, 76, 77, 78, 79, 80,
81, 82, 83, 84, 85, 86, 87, 88, 89,
90, 91, 92, 93, 94, 95, 97, 100, 101,
102, 103, 104, 105, 107, 108, 109,
110, 111, 112, 113, 114, 115, 116]
drug development,
epidemiology,
[929, 576,
628, 636, 1097, 668, 674, 679, 684,
686, 738, 855, 885]
ergonomy,
[962]
estimation,
[723]
fungi,
[787]
gait,
[1089]
gastroenterology,
[644]
gastrology,
[486, 1090]
genetic,
[761, 842]
genetic maps,
[658]
[1010, 635,
brain interface,
[445,
464, 940, 945, 947, 125, 950, 951,
954, 957, 960, 964, 965, 968, 979,
981, 518, 986, 988, 992, 525, 527,
1011, 1012, 1015, 569, 574, 205,
206, 1028, 587, 588, 598, 603, 1095,
615, 280, 627, 629, 634, 648, 548,
549, 1099, 704, 713, 719, 720, 1102,
747, 749, 1110, 755, 756, 757, 758,
51, 763, 397, 398, 784, 793, 803,
1063, 813, 1119, 1120, 1065, 830,
414, 415, 835, 1125, 846, 178, 851,
856, 425, 889, 433, 908]
[689]
[562]
dianostics,
cancer,
editorial,
EMG,
dermatology,
behavior dynamics, [857]
[521]
electromyography,
consultation system, [914]
[932, 590]
ECG,
[24]
1129, 892]
anaesthesia,
[816, 870, 897]
chemotherapy,
administration,
[930]
drug testing,
[854]
clinical trials,
alcoholics,
[731]
cellular,
accident resource allocation, [869]
[643, 1112,
drug production,
[848]
genetics,
[580,
727, 734, 172, 777, 781, 1116,
788, 789, 792, 807, 810, 811,
814, 817, 819, 175, 1066, 176,
1127, 864, 876, 896]
genome,
[601, 769]
geographics,
[762]
geriatry,
[595]
gerontology,
[577]
glaucoma,
[616]
164,
786,
173,
839,
glomerular filtration, [893]
hearing,
[645, 676,
687, 845, 872]
hearing aid,
[600]
hematology,
[597, 767,
1060, 813, 76]
hemodynamics,
[632, 194]
hemorrhagic blood loss,
[966]
hepatitis,
[744]
hepatology,
[995, 753]
histology,
[926, 575, 881]
HIV,
[923, 1009,
707, 45, 759, 886]
HIV-1,
[937]
hospital mortality,
[1001]
human genetics,
[918]
Subject index
53
imaging,
[227, 230,
910, 200, 442, 494, 370, 737, 1111]
odontology,
[862]
oncology,
immunology,
[728]
implantable lung,
[630, 646, 670]
infection,
[1098, 695,
696, 699, 700, 702, 706, 711]
infections,
[1014, 1092,
1093, 621, 626, 1096, 633, 166, 665,
1044, 694, 1045, 701, 1106, 773,
799, 426]
ophthalmology,
[969, 1088,
547, 1029, 1035, 290, 294, 652, 308,
669, 324, 1041, 336, 342, 780]
[710, 712,
724, 1121]
oral,
[511]
inflammation,
[722]
orthopaedics,
[804, 832, 834]
infrastructure,
[1124]
orthopaedy,
[663]
injury,
[729]
orthopediatry,
[688]
instrumentation,
[561]
orthopedics,
K,
[942]
laparoscopic intruments,
[766, 778,
849, 894, 1076]
[617]
orthopedy,
[989, 1032,
641, 672]
[735]
osteoporosis,
[989, 853]
learning,
[948]
oto-laryngologia,
[726]
liver,
[833, 1071]
paraplegia,
[1007]
lung,
[416, 429]
pattern recognition, [623]
[949, 679,
684, 686]
malaria medicine,
[877]
mammography,
[925, 455, 460,
478, 492, 507, 985, 1013, 249, 604]
management,
[708]
medicinal plant,
[751]
MEG,
[229]
metabolism,
[716, 765, 797]
metabolomics,
[725]
microbes,
[837, 847,
1072]
peptides,
[732]
pharmacokinetics,
[678]
pharmacology,
[586]
pharmacy,
[572]
radiology,
[453, 941,
698, 717, 718, 733, 823, 1123, 865]
radiotherapy,
[612, 614,
911, 919, 1134, 934, 1135, 938, 941,
484, 971, 992, 1140, 1005, 581, 584,
1091, 585, 594, 602, 606, 654, 1049]
report on activities, [590]
review,
[924]
scoliosis,
[871]
sensing,
[610]
sensoring,
[1081]
sepsis,
[867]
serum,
[905]
signal processing,
laryngology,
malaria,
radio therapy,
[996, 1003,
687]
sleep apnea,
[739]
sleeping,
[552]
smoking cessation,
[1079]
sport,
[745, 826]
sports,
[831]
statistics,
[785]
stem cells,
[740, 821]
[619]
surgery,
physiology,
[939, 202,
946, 715, 746, 1108, 776, 783, 1115,
790, 406, 798, 809, 827, 890, 900]
[920, 974,
578, 592, 599, 269, 611, 625, 631,
640, 655, 661, 664, 666, 677, 690,
697, 802, 878, 879, 902]
planning,
[775]
TCM,
[874]
plastic surgery,
[683, 691]
thermotherapy,
[1082]
pre-eclampsia,
[653]
tomography,
[556]
prediction,
[928]
toxicology,
[994, 714,
771, 772, 875]
mobile service,
[682]
pregnancy,
[752]
monitoring,
[743]
prions,
[116]
MR-imaging,
[912]
prostate,
[987, 237, 585]
mutations,
[658]
prostehesis,
[667]
prosthese,
[1136, 998]
prosthetic hand,
[593]
prosthetics,
[274]
proteins,
[764, 844]
proteome,
[1122]
vision,
[551]
neurology,
936,
980,
605,
307,
721,
782,
822,
148,
[909, 935,
944, 149, 961, 505, 976, 977,
991, 150, 570, 143, 591, 1029,
275, 1034, 286, 287, 639, 662,
320, 685, 687, 688, 339, 705,
1056, 389, 750, 144, 145, 779,
404, 146, 407, 800, 801, 805,
838, 418, 843, 1068, 866, 884,
895, 901, 904, 1078, 1017]
traffic injury,
[883]
triage,
[1131]
urology,
[933, 952,
1084, 982, 1000, 257]
vaccination,
[1114]
vaccines,
[818, 850, 861]
vectors,
[1101]
virology,
[967, 742,
836, 860, 907]
neurology?,
[1062]
protheses,
[554]
vision impairment,
[692]
neurosurgery,
[1100]
psychiatry,
[978]
vitamins,
[815]
nuclear,
[999]
psychitry,
[571]
vocal fold,
[1040]
nutrition,
[795]
psychology,
voice,
[748, 796]
walking,
[1077]
would healing,
[673]
[943, 997,
880, 882]
obstetrics,
[236]
radiation therapy,
odantology,
[537]
1133]
[199, 917,
54
Genetic algorithms in medicine
yellow fever,
fuzzy,
[955]
[996]
neural networks,
medine
cardiology,
oncology,
[551, 563, 228,
565, 198, 460, 476, 966, 985, 1013,
570, 23, 45, 779, 85, 828, 1153, 893]
[211]
neural networks
[210]
amyloid fibrils,
[1158]
BAEPS,
[361]
brain activity,
[1086, 1157]
brain imaging,
[509, 266]
melanoma,
[957]
Bayesian,
[1011]
brain oscillation,
[866]
metabolic profiling,
[752]
cellular,
[256]
brain oscillations,
[904]
brain stimulation,
[1160]
brainwaves,
[1162]
cancer,
[773]
dementia,
[357]
metabolism
tracing,
classification,
[944, 215,
956, 961, 496, 517, 518, 1012, 578,
263, 1033, 634]
[797]
metabolomics
spectroscopy,
control,
[688]
[725]
data mining,
[258, 392]
micro-arrays,
[648]
diagnosis,
[205]
microarrays,
[761]
drug design,
[112]
electrodes,
classification,
[842]
electronic nose,
[1087]
epilepsy,
image processing,
[213]
feature extraction,
[575]
fuzzy,
[538, 240]
microbes
tuberculosis,
microbiology,
modeling,
[843]
[149, 150,
143, 1034, 144, 146, 147, 148]
fMRI,
[404]
hypoxia,
[1056]
hybrid,
[136]
image segmentation, [529]
ion chennel conductance modeling, [1159]
knowledge,
[914]
lateral sclerosis,
[854]
[331]
Kohonen,
[552, 232]
lesions,
[407]
[871]
learning,
[957]
motoneurons,
[977]
[959]
nerve activity,
[946]
neural oscillations,
[838]
neuronal paths,
[721]
biochemistry,
[1159]
machine learning,
hemodynamics,
[632]
medical applications,
[135, 1032]
[450]
membrane potential, [662]
optimisation,
polyominos,
[683]
pattern recognition, [481, 595]
MOGA,
[630]
perceptron,
[1128]
molecular dynamics,
[942]
prediction,
[930, 833]
MRI
[883]
RBF,
[1151]
chemical shift,
[297]
simulation,
[605]
Dixon acquisition,
[297]
SOM,
[261]
excitation pulse design, [313, 337]
structure,
[928, 164]
excitation trajectory design, [291,
taining,
[947]
Parkinson’s disease, [339, 782]
Parkinsonian oscillations,
295]
training,
experimental design, [366]
[926, 462,
276, 1103, 858]
monohedral,
[354]
traning,
[496]
open magnet,
[302]
walking,
[1089]
weights,
[117]
random trajectories, [1043]
neural stimulation
[279]
multi-objective optimisation,
[316]
waveform,
nerve fibre activity,
[946]
neuroimaging
neural network,
[1056]
MRI,
drug design,
[100]
drug testing,
[897]
neurology,
[705]
[900]
prosthesis control,
[667]
rehabilitation,
[1017]
sclerosis,
[800]
sleep,
[944, 961, 570]
transcranial
RF coil design,
[145, 801,
1068]
[786]
microscopy
endoscopy,
EEG,
DC
stimulation,
[895]
transcranial stimulation,
vestibulo-ocular reflex,
[901]
[1029]
vision,
[1163, 1164]
visual attention,
[1161]
neurons
io channel modeling, [685]
niche,
[931]
niche GA,
[319]
NIRS
[327]
blood,
[1060]
[1165]
microbes,
[837]
Alzheimer’s disease, [779, 805, 418]
wavelength selection,
[768, 1059]
Subject index
NMR,
55
[473, 506]
paralled GA,
brain imaging,
[343]
parallel GA,
excitation pulse,
[329]
imaging,
[529]
[727]
[155, 560,
566, 117, 1137, 967, 604, 163, 272,
275, 277, 822, 431]
NMR imaging,
[442, 260]
grid,
[309]
NOC,
[803]
PVM,
[454]
workstations,
[249]
variable selection,
[795]
oncology
chemotherapy,
parameter estimation,
[1137]
Pareto,
[663, 345, 360]
MRI,
[635]
[119]
optics,
[649]
physiology,
[966]
brain hemodynamics,
parallel GA
nutrition
molecular,
[776]
cardiac transmembrane
tials, [746]
poten-
cardiomyocytes,
[783]
eye movements,
[1029]
fatique,
[890]
glucose,
[809]
heart,
[820]
[291, 295,
297, 297]
radiotherapy,
[1092, 1093,
621, 626, 1096, 633, 665, 1045, 701]
operating room
scheduling,
[661, 666]
Parkinson’s disease,
[619, 58]
muscle fatigue,
[1108]
particle swarm,
[688, 376]
nutrition,
[202]
oximetry,
[1115]
patent,
ophthalmology
diabetes,
[533, 572,
239, 243, 245, 247, 262, 600, 603,
265, 680]
pattern recognition,
[290]
[226, 507,
Parkinsonian oscillations,
[900]
respiration,
[406]
thermoregulation,
[715]
vision,
[221, 1088]
voice,
[1040]
walking,
[827]
526, 578, 259, 1032]
glaucoma,
retinal imaging,
tumours,
[652, 669]
blood cells,
[298]
EEG,
[320]
FFT,
[331]
[969]
[780]
opthalmology
retinal imaging,
[488]
melanoma,
[965]
optic disc,
[308]
phoneme,
[1155]
tumor,
[525]
planning
[384]
optical coherence tomography,
optics,
medical,
layout,
[348]
medical center location,
[1069]
skin,
skin imaging,
spectroscopy,
[774]
[280]
PBGA,
[185]
PCA,
[357, 736, 746]
[1065]
optimisation
classification,
diet,
penicillins,
Pareto,
[682]
[637]
operating room,
[666]
plastic surgery,
[683]
therapy,
[569]
planning radiotherapy,
[378]
PLS,
[719]
pollution,
[613]
popular,
[136]
[36]
multi-objective,
multiobjective,
menu,
[424]
[709]
[637]
[291, 630,
295, 646, 670, 214, 345, 360]
[708]
peptides
surfactants,
[852]
[196, 718]
peptidome,
[724]
optimization,
[1141]
perceptrons,
[578]
global,
[117]
pharmacokinetics
multi-objective,
[531]
Pareto,
[931]
DNA breeding,
[29]
population
model selection,
pharmacology,
multiple,
[1079]
population size,
[168]
[105]
[135, 848]
100,
oral cancer
drug design,
[21]
toxicity,
[586]
[226]
post mortem dental identification,
risk,
[1125]
orthopaedics
pharmasy,
[23]
[50]
arthritis,
[834]
pharmocology,
bones,
[804]
physics
orthopaedy
implants,
[663]
bio-,
[660]
medical,
[492, 499]
[15]
prediction,
[1038]
breast cancer,
[964]
survival,
[620]
process
fermentation,
[728, 731, 110]
56
Genetic algorithms in medicine
prostate implants,
[1095, 615]
protein
docking,
[142]
protein engineering
DNA breeding,
protein folding,
amyloid fibrils,
[29]
physiological,
psychotherapy,
[978]
pulmonary embolism,
[647]
puuttuu (ISI),
[732]
QSAR,
[123, 129]
[1158]
structure prediction, [844]
[120, 1009,
141, 26, 634, 55, 64, 65, 70, 71, 76,
78, 89, 852, 101, 103, 877, 115, 116]
QSAR
drug design,
protein folding?,
[118]
QSPR,
proteins,
[119, 130, 136]
QSRR
[942]
albumin,
[642]
QSSR,
apicoplast,
[792]
quantum computing
directed evolution,
blood,
[595]
[24]
docking,
[923, 937, 967,
139, 140, 1023, 28, 764, 58, 83, 95]
drug design,
[125, 126]
HIV-1 protease,
[937]
homology,
[124]
interactions,
ligands,
[1151]
[438]
[40, 96, 98]
[120, 114]
17-residue,
apolipoprotein epsilon4,
[287]
[767]
[897]
DNA,
[159]
radiation
shielding,
[823]
radiation therapy
geometry,
radiology,
recursive,
[24]
registration
retinal image,
[969]
regression,
[120, 950,
1058]
exponential,
[704]
linear,
[860]
logistics,
[694]
piecewise linear,
[1145]
PLS,
[642, 51]
radiation dose,
[704]
SVM,
[66]
regressions,
[968]
reliablility,
[253]
REM,
[552]
report on activities
medicine,
[1133]
radiography
subtraction,
recombination
[590]
retina,
[1088]
ICGA,
[309]
[941, 992, 999]
[364]
retinal imaging
indocyanine green,
[254]
beam angle,
[1123]
[97]
impedance,
[717]
biomedical applications,
[968]
implants,
[1135]
computational intelligence,
[923]
mammography,
[733]
[777]
[718]
Computer-aided
sign, [131]
sequences,
planning,
signature,
[1121]
thorax,
[370]
similarity,
[1149]
radiosurgery,
[484]
[1009]
radiotherapy,
[911]
proteome,
purification,
QSAR,
recognition,
proteins folding,
[787, 836]
beam optimization, [654]
proteome
hepatitis B virus,
[763]
proteomics
cardiology,
PSO,
[703]
images for,
[453]
implant,
[603]
IMRT,
[1096, 633,
1044, 1045]
[1120, 179,
428, 898]
intensity-modulated,
review
molecular
GA in drug design,
[128]
image registration,
[254]
medical image registration,
medicine,
[579]
molecular design,
[138]
of [162],
[1064]
source location,
[148]
intesity-modulated, [1099]
optimisation,
urology,
[933]
planning,
dementia,
[595]
diagnosis,
[571]
psychology,
biological,
robotics
control,
[320]
grippers,
[631]
medical,
[269]
mobile,
[185]
[1106]
psychiatry
[1134, 584,
602, 1095, 615]
reasoning
de-
[432]
[161]
operating room scheduling,
[621, 665,
[222]
neuro-fuzzy rule generation, [240]
701, 1050]
image registration,
[515]
[1167]
case based,
[743, 770]
routing,
[682]
[645, 676]
fuzzy,
[990]
rule based system,
[489]
[690]
Subject index
rule based systems,
57
[449, 1084,
ECG,
[956, 824, 431]
EEG,
[736, 801,
FT-IR,
[207]
982, 991, 240, 609]
medicine,
scattering,
[571]
gingival crevicular fluid,
[862]
1068, 147, 148]
impedance,
[1102]
infrared,
[596]
[1069]
electrocardiographs, [927]
[774]
feature selection,
[529]
finger movements,
[782]
chemotherapy unit, [1112]
FPGA,
[431]
mass-,
[716]
clinical pathways,
[1129]
heart rate,
[829]
melanoma,
[627]
operating room,
[661, 666]
medical,
metabolomics,
[725]
vaccination,
[1114]
inverse,
scheduling
scheduling ¿/operating room,
[690]
screening
diabetic retinopathy, [290]
in silico,
[32, 33, 47,
52, 61]
virtual,
segmentation,
[327]
CT,
[365, 372]
segmentation?,
[490]
selection
[973, 597, 642,
650, 651, 548, 549, 693, 347, 1060,
825, 837]
[221]
sEMG,
[1108]
NIRS,
[768]
speech,
[645, 676]
NMR,
[519, 765]
ultrasound,
[427]
Raman,
wavelets,
[884]
[796, 845,
simulation,
catheter,
skin,
[1039]
wavelength selection,
[596, 548,
549, 693, 1059, 773]
[1033]
splines,
signal processsig
medical,
[207, 757,
1065]
872, 1154, 1155]
[916, 529,
3D,
NIR,
multidimensional,
voice,
546, 239, 243, 245, 247]
[653, 813,
1121, 862, 863]
[444, 493,
521, 536, 1034, 361, 375]
visual to audio,
[59]
mass,
[692]
sport
[500]
muscle fatigue,
[1108]
[1142, 557]
sports
[656]
clenbuterol,
biomarkers,
[821]
diffuse optical tomography,
feature,
[407]
NIR spectroscopy,
[1158]
wavelength,
[1060]
surgery,
[611]
[831]
[325]
SQUID,
[618]
Staphylococcus aureus
Sortase A inhibitors, [82]
sensing
skin
hearing,
[610]
tactile,
[879]
sensoring,
[1087, 578]
sensors
melanin,
skin modeling
optical,
skull,
tactile,
[802]
serum
[768]
shape design
FEM,
[808]
shape model
B-spline,
[266]
signal procesing
medical,
signal processing,
medicine,
[858]
stem cells
[391]
[267]
sleep
apnoea,
triglyseride,
statistics
[774]
biomarkers,
stereo vision
on-line,
[1115]
[740, 821]
[692]
strain testing
snakes,
[502, 544, 546]
arteries,
[1030]
SNP,
[165]
implant,
[641]
solid modeling,
[958]
SOM,
[261]
spectroscopy,
[66]
support vector machine, [355]
2D correlation,
[1158]
surafaces
biomedical,
[519, 250]
blood,
[780]
structure
molecular,
[659]
[538]
superquadrics,
[503]
[555, 1080,
1139, 996, 346]
surgery,
[352]
brain,
[866]
classification,
[653]
liver,
[1153]
classifiers,
[500]
feature selection,
[825]
MRI,
[302]
compression,
[1138]
fitting,
[1145]
operating room scheduling,
[690]
58
Genetic algorithms in medicine
planning,
[592, 599, 382]
CT,
[315, 365]
urology,
plastic,
[878]
EIT,
[1036]
USA,
[489]
[1029, 1095,
615]
protatate,
[625]
EMRI,
[367]
radio-,
[902]
impedance,
[459, 510]
robotic,
[879]
lung,
[326]
sensoring,
[802]
medical,
[485]
simulation,
[677]
MR,
[508, 344]
spinal,
[356]
NIR,
[353]
vascular,
[808]
NMR,
[958]
OCT,
[348]
optical,
[351, 353, 400]
survey
microarray data analysis,
[208]
pattern recognition, [208]
vaccines
PET,
[719, 37, 748,
753, 769, 65, 810, 416, 846, 1130,
856, 425, 864, 433, 898, 899]
[327, 344,
[248, 270,
285, 317, 323, 334, 334, 338, 340,
350, 363, 374]
[270]
feature selection,
regression,
synovial fluid,
system estimation,
[671]
[1077]
ultrasonic,
[494]
X-ray,
[504]
x-ray,
[285]
[767, 68]
[694]
[417]
vectors
mosquito,
[1101]
Yersinia pestis,
[310]
venoms
snail,
[834]
[975]
telecommunications
influenza A,
virus,
[746, 873]
tomography elasto-mechanical,
[942]
[836]
[885]
dengue,
[742]
yellow fever,
[955]
[323]
vision
TOPAS,
in hospitals,
variable selection,
virology
[1161]
Tikhonov regularization,
[818]
lung,
SVM
classifier,
filoviral,
vascular tree
reconstruction,
SPECT,
[861]
regression,
363, 374]
SVM,
allocation,
[18, 19]
[1124]
early,
[605]
evoked potentials,
[221]
toxicology
therapy
UV,
environmental,
[771]
QSAR,
[714]
[619]
thermography
palette design,
training
ocular,
[385]
surgery,
ulcers,
liver,
[365]
time series
[995]
traffic,
[883]
VLSI design,
voice
Mackey-Glass,
[959]
tress,
[880]
medical,
[316]
TSP,
[443]
tissue
skin,
tissue perfusion
ICG,
tomography,
brain,
[380]
[198, 512, 523]
[275]
assessment,
[345, 360]
[593]
[748]
wavelength selection
tutorial
[280]
[942]
VLSI
FPGA,
transportaion
[344]
vitamin
K,
transplantation
thomography
cancer,
[625]
[368, 195,
1048, 390]
visualization
GA in drug design,
[122]
image,
[196]
QSAR,
[133]
NIR,
[642, 651]
QSPR,
[134]
NIRS,
[973]
ultrasound,
bone,
[561]
wavelets,
[267]
voice,
[470, 541, 318]
[748]
Annual index
4.8
59
Annual index
The following table gives references to the contributions by the year of publishing.
1959,
[153]
1960,
[151]
1962,
[152]
1970,
[156]
1976,
[1020]
1977,
[554]
1980,
[564]
1985,
[561]
1986,
[1021]
1987,
[568]
1988,
[204, 189, 190]
1989,
[225, 154]
1990,
[1141, 1142, 909]
1991,
[553, 558, 155, 562, 1019, 436]
1992,
[551, 555, 226, 563]
1993,
[223, 224, 1166, 552, 556, 557, 227,
559, 560, 228, 229, 565, 230, 566, 567, 231, 198]
2001,
[249, 24, 159, 250, 251, 589, 1092, 252,
143, 590, 591, 592, 253, 254, 160, 255, 256, 593, 257, 594,
1029, 1144, 258, 595, 1030, 25, 259, 26, 596, 1031, 597, 260,
598, 1093, 261, 161, 262, 599, 600, 601, 1094, 1032, 263, 162,
602, 264, 603, 1033, 604, 605, 265, 606]
2002,
[266, 607, 1095, 608, 609, 267, 610, 610,
208, 268, 269, 209, 210, 211, 212, 611, 163, 612, 613, 614,
270, 271, 615, 616, 617, 272, 273, 274, 275, 276, 618, 277]
2003,
[278, 619, 620, 621, 279, 280, 622, 281,
623, 624, 625, 27, 1034, 164, 282, 283, 28, 284, 626, 285,
1096, 165, 1035, 286, 287, 1036, 29, 288, 289]
2004,
[627, 628, 290, 291, 629, 292, 630, 631,
293, 14, 632, 294, 1145, 192, 633, 634, 295, 296, 649, 354]
2005,
[166, 635, 636, 1146, 637, 297, 638,
639, 640, 641, 642, 643, 644, 645, 298, 299, 646, 647, 648,
1037, 300, 1038, 650, 651, 652, 653, 654, 655, 15, 656, 657,
1039, 301, 658, 302, 303, 548]
2006,
[304, 659, 305, 660, 1097, 661, 662,
663, 306, 664, 307, 308, 665, 16, 193, 309, 666, 667, 194,
310, 668, 311, 312, 669, 313, 670, 314, 671, 17, 315, 316,
317, 318, 672, 167, 319, 320, 321, 322, 549, 1016]
2007,
[550, 673, 323, 674, 675, 324, 1040,
325, 676, 677, 213, 678, 679, 326, 680, 681, 327, 682, 328,
329, 1041, 683, 330, 684, 685, 331, 1042, 686, 687, 332, 333,
334, 334, 688, 689, 335, 336, 1158, 337, 338, 339, 340, 1018]
1994,
[910, 437, 438, 199, 1079, 911, 912,
913, 117, 1167, 118, 914, 1165, 119, 200, 439, 915, 916, 201,
440, 917, 441, 120, 121]
1995,
[183, 442, 918, 443, 444, 919, 445,
1080, 446, 447, 184, 920, 448, 921, 922, 923, 924, 449, 1081,
925, 450, 926]
2008,
[1043, 690, 341, 691, 692, 1098, 342,
1044, 343, 693, 344, 214, 694, 345, 346, 347, 348, 349, 350,
695, 351, 352, 1159, 353, 355, 356, 357, 358, 359, 360]
1996,
[451, 452, 927, 453, 454, 455, 928,
1133, 456, 457, 458, 929, 930, 459, 460, 221, 931, 932,
1134, 933, 934, 122, 935, 462, 463, 464, 123, 465, 1082,
1083, 937, 1135, 938, 466, 467, 468, 469, 939, 470, 471,
472, 1136, 941]
185,
461,
936,
940,
2009,
[361, 362, 696, 1099, 363, 1045, 364,
365, 697, 366, 367, 368, 698, 699, 700, 701, 369, 702, 370,
1046, 371, 372, 703, 704, 373, 374, 195, 375]
2010,
1997,
944,
215,
954,
957,
473,
949,
955,
958,
[376, 705, 377, 706, 30, 1047, 1048, 196,
707, 1049, 708, 709, 31, 710, 711, 378, 379, 1050, 380, 382]
149,
950,
480,
959,
[942, 124, 943, 202, 1156,
945, 474, 946, 475, 476, 947, 477, 125, 948,
951, 216, 126, 478, 952, 1137, 127, 479, 953,
128, 1138, 481, 956, 482, 483, 484, 485, 486,
487, 488, 489, 490]
2011,
493,
499,
968,
509,
135,
518,
[491, 129, 492, 960, 961, 962, 130,
217, 963, 131, 494, 495, 496, 222, 964, 497, 132,
218, 965, 133, 500, 966, 967, 501, 1139, 1084, 502,
969, 504, 970, 971, 505, 506, 134, 507, 219, 972,
973, 510, 974, 1085, 511, 512, 975, 976, 513, 1086,
978, 220, 979, 514, 980, 515, 516, 136, 517, 981,
983, 137, 984]
186,
498,
503,
508,
977,
982,
[712, 32, 33, 1100, 713, 168, 1051, 381,
1052, 714, 34, 715, 716, 717, 718, 1147, 719, 720, 721, 722,
1101, 169, 383, 723, 724, 1148, 1102, 35, 725, 1103, 36, 37,
726, 727, 1104, 728, 729, 730, 1105, 731, 1053, 1054, 1149,
732, 733, 170, 734, 384, 385, 1106, 38, 1055, 39, 735, 386,
736, 40, 737, 738, 387, 739, 740, 741, 1056, 41, 388, 1107, 42,
742, 743, 744, 43, 745, 746, 44, 45, 1108, 1109, 389, 747, 748,
390, 749, 391, 392, 750, 171, 751, 172, 46, 47, 752, 48, 753,
144, 1110, 393, 394, 754, 755, 756, 395, 396, 757, 49, 50, 758,
51, 759, 1057, 760, 761, 762, 1058, 52, 763, 764, 765, 766,
767, 1111, 397, 53, 769, 770, 1112, 398, 771, 54, 772, 399]
2012,
[768, 1059, 773, 1113, 774, 145, 1060,
55, 775, 776, 400, 777, 778, 401, 779, 780, 781, 1150, 402,
403, 56, 782, 783, 1114, 1115, 784, 785, 1116, 786, 404, 57,
58, 787, 59, 405, 788, 789, 790, 1061, 406, 60, 61, 791, 792,
62, 793, 63, 64, 146, 65, 407, 794, 795, 66, 796, 67, 68, 797,
798, 1117, 799, 800, 801, 69, 802, 803, 804, 1062, 408, 409,
805, 806, 807, 808, 1063, 410, 70, 71, 72, 809, 810, 811, 812,
173, 813, 1118, 814, 1119, 815, 1120, 816, 73, 1064, 817, 74,
818, 75, 76, 77, 78, 819, 820, 821, 79, 80, 81, 82, 83, 174,
822, 411, 823, 84, 824, 825, 1121, 826, 175, 85, 1065, 86, 827,
828, 87, 412, 413, 829, 830, 1066, 176, 414, 1122, 831, 415,
1123, 416, 832, 833, 834, 417, 835, 836, 837, 1151, 88, 89, 90,
838, 197, 1124, 91, 1125, 92, 839, 840, 418, 93, 841, 94, 842]
1998,
1999,
2000,
[519, 520, 521, 522, 1087, 985, 986,
523, 987, 988, 138, 989, 990, 991, 992, 993, 139, 524, 525,
994, 995, 203, 526, 527, 528, 140, 996, 997, 998, 529, 999,
187, 1140, 1000, 530, 531, 1088, 1001, 150, 1002, 532, 1003,
1004, 1005, 188, 1006, 1007, 533, 534, 535, 536, 537, 1008,
1009, 141, 538, 1010, 539, 142, 1011, 1012, 540, 1013, 1014,
541, 542, 543, 544, 1015, 545, 546, 547]
[232, 569, 157, 570, 571, 572, 18, 573,
1089, 574, 19, 20, 575, 21, 233, 234, 1090, 1022, 235, 236,
576, 1023, 205, 1024, 22, 206, 1025, 237, 238, 1026, 1027,
158, 577, 578, 579, 1028, 239, 580, 207, 23, 1143, 581, 240,
582, 241, 1157, 583, 242, 584, 1091, 585, 586, 587, 243, 588,
244, 245, 246, 247, 248, 191]
60
Genetic algorithms in medicine
4.9
Geographical index
The following table gives references to the contributions by country.
• Algeria: [333, 349, 1107, 1070]
• Argentina: [209, 870, 905]
• Australia: [443, 450, 127, 959, 135, 279, 1097, 674, 683,
357, 362, 172, 1058, 817, 1066, 176, 1072, 862, 1154]
• Austria: [913, 270, 285, 331]
• Belgium: [508, 586, 690, 695, 90, 860]
• Italy: [231, 1081, 494, 502, 510, 523, 530, 544, 546,
547, 246, 604, 212, 624, 293, 294, 296, 166, 314, 677,
678, 378, 1100, 714, 1147, 1105, 771, 1114, 787, 791,
410, 825, 1161, 878]
• Japan: [552, 914, 200, 441, 445, 447, 449, 451,
1082, 938, 466, 939, 472, 941, 474, 482, 483, 485,
490, 963, 496, 497, 504, 512, 975, 976, 517, 518,
984, 990, 998, 529, 999, 543, 573, 1025, 600, 286,
630, 641, 646, 667, 670, 672, 370, 376, 43, 766, 60,
810, 175, 88, 838, 109, 896]
• Brazil: [149, 948, 1085, 996, 538, 597, 620, 628, 679,
684, 377, 382, 39, 1059, 1060]
• Jordan: [1041, 32, 33, 47, 61, 80, 93]
• Bulgaria: [560, 91, 94]
• Kazakhstan: [711]
• Canada: [198, 184, 921, 129, 1007, 22, 259, 617, 273,
1145, 192, 306, 167, 1043, 1049, 710, 1106, 735, 1112,
812, 826, 840]
• Malaysia: [1064, 642, 34, 758, 1113, 774, 403]
• China: [505, 980, 203, 140, 1009, 232, 248, 143, 1030,
1031, 272, 277, 1096, 1036, 633, 354, 299, 648, 651, 302,
303, 671, 318, 319, 320, 324, 341, 1044, 353, 355, 356,
358, 1045, 372, 373, 196, 379, 1050, 716, 719, 720, 169,
724, 726, 1149, 733, 1055, 40, 1056, 744, 746, 44, 171,
763, 53, 769, 768, 62, 800, 69, 802, 803, 173, 819, 820,
1065, 1122, 831, 833, 834, 835, 836, 837, 1151, 89, 177,
1126, 423, 852, 1129, 99, 855, 863, 864, 868, 873, 874,
876, 1131, 885, 888, 889, 890, 891, 893, 429, 430, 906,
238, 241, 244, 252, 337]
185,
487,
137,
292,
794,
• Mexico: [987, 260, 611, 625, 284, 636, 643, 806, 1069,
428]
• New Zealand: [323]
• Norway: [157, 1027, 593, 365, 1063]
• Pakistan: [317, 334, 338, 340, 350, 82, 413]
• Poland: [475, 652, 669, 760, 832, 1073, 907]
• Portugal: [588, 727, 1057, 808, 1127, 434, 1077]
• Romania: [613, 215, 753, 102]
• Colombia: [1006, 1015, 579, 598, 609, 309, 736]
• Russia: [712, 35, 59, 95, 850]
• Croatia: [439]
• Singapore: [528, 581, 589, 640, 664, 385, 749, 777, 865]
• Cyprus: [562, 563, 935]
• Denmark: [50]
• Slovenia: [219, 972, 1010, 583, 250, 1094, 657, 383, 775,
116]
• Egypt: [1074, 313, 66, 816]
• South Africa: [274, 106]
• Finland: [936, 952, 489, 1084, 1086, 982, 991, 1000,
1157, 591, 257, 281, 548, 549, 327, 1018, 693, 347, 369,
30, 732, 391, 1017]
• South Korea: [1137, 493, 500, 570, 380, 770, 399, 1117,
902]
• France: [553, 227, 186, 501, 532, 18, 1022, 160, 269,
623, 288, 639, 687, 346, 361, 363, 364, 374, 375, 168,
762, 764, 799, 847, 427]
• Germany: [612, 614, 1020, 189, 190, 154, 909, 155, 1019,
912, 930, 943, 480, 965, 133, 970, 978, 220, 983, 525,
1140, 1002, 1003, 21, 234, 235, 1024, 256, 1144, 258,
605, 608, 682, 352, 728, 387, 740, 389, 63, 805, 821, 85,
412, 108]
• Greece: [607, 221, 969, 1088, 575, 254, 268, 618, 298,
213, 853]
• Hungary: [467, 1146]
• India: [1138, 1139, 187, 1026, 1028, 580, 240, 159, 305,
308, 550, 330, 1042, 332, 696, 367, 1046, 371, 709, 713,
381, 731, 170, 388, 392, 750, 751, 393, 755, 49, 51, 767,
398, 779, 56, 58, 64, 146, 67, 409, 1120, 75, 76, 77, 78,
411, 87, 830, 96, 844, 420, 425, 886, 110, 433]
• Iran: [634, 193, 1052, 37, 1104, 41, 45, 1109, 748, 759,
52, 54, 772, 55, 790, 793, 65, 407, 68, 70, 71, 1118, 1119,
815, 74, 81, 823, 824, 828, 1124, 92, 418, 419, 1068, 98,
100, 103, 104, 875, 879, 880, 883, 897, 112, 113, 114,
115, 535, 255]
• Ireland: [752]
• Israel: [521, 233, 301, 316, 685, 809, 822]
• Spain: [945, 957, 960, 592, 599, 210, 1037, 304, 321,
322, 697, 386, 395, 1115, 421, 1071, 869, 432, 901]
• Sweden: [158, 654, 780, 858, 148]
• Switzerland: [509, 19, 587, 629, 789]
• Taiwan: [436, 119, 458, 459, 470, 130, 217, 514, 540,
1089, 1023, 251, 1032, 1035, 300, 663, 343, 722, 739,
741, 781, 402, 807, 829, 415, 1125, 839, 842, 178, 147,
849, 1162, 887, 898, 899]
• Thailand: [903]
• The Czech Republic: [519, 211, 1038, 194]
• The Netherlands: [647, 656, 776]
• The Slovak Republic: [506]
• Turkey: [956, 516, 541, 1033, 276, 659, 673, 214, 1103,
36, 1053, 144, 73, 1130, 179, 101, 1132, 435]
• United Kingdom: [226, 1166, 442, 919, 452, 453, 454,
928, 931, 932, 934, 468, 471, 1156, 473, 946, 477, 950,
216, 954, 958, 488, 491, 131, 495, 971, 513, 138, 139,
524, 527, 1004, 188, 536, 141, 539, 1012, 577, 578, 207,
242, 1092, 590, 594, 263, 275, 280, 622, 282, 283, 289,
635, 653, 658, 326, 689, 336, 339, 1047, 708, 31, 1051,
721, 1148, 725, 738, 42, 743, 745, 1108, 747, 1110, 754,
396, 761, 765, 145, 778, 786, 1061, 406, 795, 798, 801,
804, 827, 851, 867, 884, 900, 1075, 904]
Geographical index
• United States: [20, 156, 204, 225, 1141, 1142, 558, 557,
559, 229, 230, 910, 437, 438, 199, 1079, 911, 117, 1165,
915, 916, 917, 120, 121, 183, 918, 444, 1080, 920, 922,
923, 924, 925, 926, 455, 1133, 457, 929, 460, 461, 1134,
933, 463, 464, 123, 465, 1083, 937, 1135, 469, 940, 1136,
124, 202, 476, 947, 125, 951, 126, 478, 479, 953, 484,
486, 492, 962, 222, 964, 132, 498, 499, 218, 967, 968,
134, 973, 974, 511, 977, 979, 515, 136, 981, 993, 522,
1087, 985, 986, 988, 989, 992, 994, 526, 997, 531, 533,
534, 537, 1008, 142, 1011, 1013, 1014, 542, 545, 569,
572, 574, 1090, 236, 576, 205, 206, 237, 239, 23, 582,
584, 585, 243, 245, 247, 191, 24, 253, 25, 26, 1093, 261,
161, 262, 162, 602, 603, 265, 606, 266, 267, 610, 208,
163, 271, 278, 619, 621, 27, 1034, 164, 28, 626, 165, 287,
29, 627, 290, 291, 631, 14, 632, 295, 649, 297, 638, 650,
655, 15, 1039, 660, 662, 307, 665, 16, 668, 312, 17, 315,
1040, 325, 680, 681, 328, 686, 688, 335, 1158, 692, 1098,
342, 344, 694, 345, 348, 351, 1159, 359, 360, 1099, 366,
61
368, 698, 699, 700, 701, 702, 703, 704, 195, 705,
1048, 707, 715, 717, 718, 1101, 1102, 729, 1054,
384, 38, 737, 742, 390, 46, 394, 756, 1111, 397,
400, 1150, 782, 783, 784, 785, 1116, 404, 57, 792,
797, 408, 72, 813, 818, 79, 83, 174, 84, 1121, 86,
1123, 416, 417, 841, 843, 845, 848, 1067, 97, 854,
859, 426, 861, 1152, 1160, 105, 872, 182, 107, 1163,
892, 895, 1164, 1078, 908]
706,
734,
773,
796,
414,
856,
881,
• Unknown country: [446, 448, 456, 122, 942, 944, 949,
955, 481, 961, 966, 507, 995, 1001, 150, 1005, 571, 1143,
1091, 249, 595, 601, 616, 637, 644, 645, 661, 666, 310,
311, 675, 676, 691, 723, 730, 48, 757, 401, 405, 788,
1062, 811, 814, 197, 846, 422, 1128, 424, 180, 857, 181,
866, 1153, 871, 877, 1155, 882, 894, 431, 111, 1076]
• Venezuela: [223, 224, 927, 503, 520]
62
Genetic algorithms in medicine
Bibliography
[1] John H. Holland. Genetic algorithms. Scientific American, 267(1):44–50, 1992. ga:Holland92a.
[2] Jarmo T. Alander. An indexed bibliography of genetic algorithms: Years 1957-1993. Art of CAD Ltd.,
Vaasa (Finland), 1994. (over 3000 GA references).
[3] David E. Goldberg, Kelsey Milman, and Christina Tidd. Genetic algorithms: A bibliography. IlliGAL
Report 92008, University of Illinois at Urbana-Champaign, 1992. ga:Goldberg92f.
[4] N. Saravanan and David B. Fogel. A bibliography of evolutionary computation & applications. Technical
Report FAU-ME-93-100, Florida Atlantic University, Department of Mechanical Engineering, 1993. (ftp:
//magenta.me.fau.edu/pub/ep-list/bib/EC-ref.ps.Z) ga:Fogel93c.
[5] Thomas B¨
ack. Genetic algorithms, evolutionary programming, and evolutionary strategies bibliographic
database entries. (personal communication) ga:Back93bib, 1993.
[6] Thomas B¨
ack, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992. ga:Schwefel92d.
[7] David L. Hull. Uncle Sam wants you. Science, 284(5417):1131–1133, 14. May 1999.
[8] Leslie Lamport. LATEX: A Document Preparation System. User’s Guide and Reference manual. AddisonWesley Publishing Company, Reading, MA, 2 edition, 1994.
[9] Alfred V. Aho, Brian W. Kernighan, and Peter J. Weinberger. The AWK Programming Language. AddisonWesley Publishing Company, Reading, MA, 1988.
[10] Diane Barlow Close, Arnold D. Robbins, Paul H. Rubin, and Richard Stallman. The GAWK Manual.
Cambridge, MA, 0.15 edition, April 1993.
[11] Jarmo T. Alander. Indexed bibliography of genetic algorithms in biosciences. Report 94-1-BIO, University
of Vaasa, Department of Information Technology and Production Economics, 1995. http://lipas.uwasa.
fi/∼TAU/reports/report94-1/gaBIObib.pdf gaBIObib.
[12] Jarmo T. Alander. Indexed bibliography of genetic algorithms and neural networks. Report 94-1-NN,
University of Vaasa, Department of Information Technology and Production Economics, 1995. http:
//lipas.uwasa.fi/∼TAU/reports/report94-1/gaNNbib.pdf gaNNbib.
[13] Jarmo T. Alander. Indexed bibliography of genetic algorithms and proteins. Report 94-1-PROTEIN,
University of Vaasa, Department of Information Technology and Production Economics, 1995. http:
//lipas.uwasa.fi/∼TAU/reports/report94-1/gaPROTEINbib.pdf gaPROTEINbib.
[14] Nariman Majdi Nasab. Stochastic and Biological Metaphor Parameter Estimation on the Gaussian Mixture Model and Image Segmentation by Markov Random Field. PhD thesis, Purdua University, 2004.
ga04aNarimanMajdiNasab ⇒ https://engineering.purdue.edu/∼ace/thesis/nasab/nariman-thesis.
pdf.
[15] Mythili Ogirala.
Multi resolution dental image registration based on genetic algorithms.
Master’s thesis, West Virginia University, College of Engineering and Mineral Resources,
2005.
* www /Google
ga05aMOgirala ⇒ http://www.openthesis.org/documents/
Multi-resolution-dental-image-registration-381140.html.
[16] Diaa Eldin Nassar, Mythili Ogirala, Donald Adjeroh, and Hany Ammar. An efficient multi-resolution
GA approach to dental image alignment. In E. R. Dougherty, J. T. Astola, K. O. Egiazarian, N. M.
Nasrabadi, and S. A. Rizvi, editors, Image Processing: Algorithms and Systems, Neural Networks, and
Machine Learning, volume SPIE-6064, pages 606410–1–8, San Jose, CA, 16. January 2006. The International Society for Optical Engineering, Bellingham, WA. ga06aDENassar ⇒ http://spiedigitallibrary.
org/proceedings/resource/2/psisdg/6064/1/606410 1.
63
64
Genetic algorithms in medicine
[17] Nariman Majdi-Nasab, Mostafa Analoui, and Edward J. Delp. Decomposing parameters of mixture Gaussian model using genetic and maximum likelihood algorithms on dental images. Pattern Recognition Letters,
27(?):1522–1536, ? 2006. ga06aNMajdi-Nasab.
[18] Dominique Douguet, Etienne Thoreau, and G´erard Grassy. A genetic algorithm for the automated generation of small organic molecules: Drug design using an evolutionary algorithm. Journal of Computer-Aided
Molecular Design, 14(5):449–466, July 2000. ga00aDDouguet.
[19] Gisbert Schneider, Man-Ling Lee, Martin Stahl, and Petra Schneider. De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks. Journal of Computer-Aided Molecular
Design, 14(5):487–494, July 2000. ga00aGisbertSchneider.
[20] Gerard Kian-Meng Goh and James A. Foster. Evolving molecules for drug design using genetic algorithms
via molecular trees. pages 27–33, 2000. ga00aGK-MGoh.
[21] Sandra Handschuh and Johann Gasteiger. The search for the spatial and electronic requirements of a drug.
J. Mol. Model., 6(2):358–378, ? 2000. * ChA 344169m/00 ga00aHandschuh.
[22] Lev Goldfarb, Oleg Golubitsky, and Dmitry Korkin. What is a structural representation in chemistry:
Towards a unified framework for CADD. Technical Report TR00-137, University of New Brunswick,
Faculty of Computer Science, 2000. ga00aLevGoldfarb.
[23] Robert H. Kewley, Mark J. Embrecths, and Curt Breneman. Data strip mining for the virtual design of
pharmaceuticals with neural networks. IEEE Transactions on Neural Networks, 11(3):668–679, May 2000.
ga00aRHKewley.
[24] Aaron L. Kurtzman, Sridhar Govindarajan, Katherine Vahle, Jennifer T. Jones, Volker Heinrichs, and
Philip A. Patten. Advances in directed protein evolution by recursive genetic recombination: Application
to therapeutic proteins. Current Opinion in Biotechnology, 12(4):361–370, August 2001. ga01aALKurtzman.
[25] Michael J. Felton. Survival of the fittest in drug design. Chemical Innovation, 31(3):11–14, March 2001.
ga01aMJFelton.
[26] Muhsin Ozdemir, Mark J. Embrechts, Fabio Arciniegas, Curt M. Breneman, Larry Lockwood, and
Kristin P. Bennett. Feature selection for in-silico drug design using genetic algorithms and neural networks.
In Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (SMCia/01), pages 53–57, Blacksburg, VA, 25.-27. June 2001. IEEE, Piscataway, NJ. ga01aMuhsinOzdemir.
[27] Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennett, Dirk Devogelaere, and Marcel Rijckaert. Feature selection methods based on genetic algorithms for in silico drug
design. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages
317–340. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aMarkJEmbrechts.
[28] Natasha Brooijmans and Irwin D. Kuntz. Molecular recognition and docking algorithms. Annual Review
of Biophysics and Biomolecular Structure, 32:335–373, 2003. ga03aNBrooijmans.
[29] Willem Stemmer and Brett Holland. Survival of the fittest molecule. American Scientist, 91(6):526–533,
November-December 2003. ga03aWStemmer.
[30] J. Santeri Puranen, Mikko J. Vainio, and Mark S. Johnson. Accurate conformation-dependent molecular
electrostatic potentials for high-throughput in silico drug discovery. Journal of Computational Chemistry,
31(8):1722–1732, June 2010. †ISI ga10aJSanteriPuranen ⇒ .
[31] Stephen D. Pickett, Darren V. S. Green, David L. Hunt, David A. Pardoe, and Ian Hughes. Automated
lead optimization of MMP-12 inhibitors using a genetic algorithm. ACS Medicinal Chemistry Letters,
2(1):28–33, January 2010. †PubMed ga10aStephenDPickett ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
24900251.
[32] Afaf H. Al-Nadaf and Mutasem O. Taha. Discovery of new renin inhibitory leads via sequential pharmacophore modeling, QSAR analysis, in silico screening and in vitro evaluation. Journal of Molecular Graphics & Modelling, 29(6):843–864, April 2011.
†PubMed ga11aAfafHAl-Nadaf ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21376648.
[33] Ahmed Mutanabbi Abdula, Reema Abu Khalaf, Mohammad S. Mubarak, and Mutasem O. Taha. Discovery of new beta-D-galactosidase inhibitors via pharmacophore modeling and QSAR analysis followed
by in silico screening. Journal of Computational Chemistry, 32(3):463–482, February 2011. †PubMed
ga11aAhmedMutanabbiAbdula ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20730780.
[34] Belal O. Al-Najjar, Habibah A. Wahab, T. S. Tengku Muhammad, Alexander Chong Shu-Chien,
Nur Adelina Ahmad Noruddin, and Mutasem O. Taha. Discovery of new nanomolar peroxisome
Bibliography
65
proliferator-activated receptor gamma activators via elaborate ligand-based modeling. European Journal of Medicinal Chemistry, 46(6):2513–2529, June 2011. †PubMed ga11aBelalOAl-Najjar ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21482446.
[35] Elena I. Sinauridze, Alexey N. Romanov, Irina V. Gribkova, Olga A. Kondakova, Stepan S. Surov,
Aleksander S. Gorbatenko, Andrey A. Butylin, Mikhail Yu Monakov, Alexey A. Bogolyubov, Yuryi V.
Kuznetsov, Vladimir B. Sulimov, and Fazoyl I. Ataullakhanov. New synthetic thrombin inhibitors: molecular design and experimental verification. PloS One, 6(5):e19969, 2011. †PubMed ga11aElenaISinauridze
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21603576.
[36] Ersin Yanmaz, Emin Saripinar, Kader Sahin, Nazmiye Gecen, and Fatih Copur. 4D-QSAR analysis and
pharmacophore modeling: electron conformational-genetic algorithm approach for penicillins. Bioorganic
& Medicinal Chemistry, 19(7):2199–2210, April 2011. †PubMed ga11aErsinYanmaz ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/21419636.
[37] Eslam Pourbasheer, Siavash Riahi, Mohammad Reza Ganjali, and Parviz Norouzi. QSAR study of C
allosteric binding site of HCV NS5B polymerase inhibitors by support vector machine. Molecular Diversity,
15(3):645–653, August 2011. †PubMed ga11aEslamPourbasheer ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/20931278.
[38] Jianwen Fang and David Tai. Evaluation of mutual information, genetic algorithm and SVR for feature
selection in QSAR regression. Current Drug Discovery Technologies, 8(2):107–111, June 2011. †PubMed
ga11aJianwenFang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21513488.
[39] Joao Paulo S. Fernandes, Kerly Fernanda M. Pasqualoto, Elizabeth I. Ferreira, and Carlos A.
Brandt. Molecular modeling and QSAR studies of a set of indole and benzimidazole derivatives as
H(4) receptor antagonists. Journal of Molecular Modeling, 17(5):921–928, May 2011.
†PubMed
ga11aJoaoPauloSFernandes ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20607332.
[40] Juan Du, Lili Xi, Beilei Lei, Huanxiang Liu, and Xiaojun Yao. Structural requirements of isoquinolones as
novel selective c-Jun N-terminal kinase 1 inhibitors: 2D and 3D QSAR analyses. Chemical Biology & Drug
Design, 77(4):248–254, April 2011. †PubMed ga11aJuanDu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21276204.
[41] Lotfollah Saghaie, Mohsen Shahlaei, Afshin Fassihi, Armin Madadkar-Sobhani, Mohammad B. Gholivand, and Alireza Pourhossein. QSAR analysis for some diaryl-substituted pyrazoles as CCR2 inhibitors by GA-stepwise MLR. Chemical Biology & Drug Design, 77(1):75–85, January 2011. †PubMed
ga11aLotfollahSaghaie ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21118376.
[42] Marc N. Offman, Marcin Krol, Naina Patel, Shekhar Krishnan, JiZhong Liu, Vaskar Saha, and Paul A.
Bates. Rational engineering of L-asparaginase reveals importance of dual activity for cancer cell toxicity.
Blood, 117(5):1614–1621, February 2011. †PubMed ga11aMarcNOffman ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/21106986.
[43] Michael Fernandez, Julio Caballero, Leyden Fernandez, and Akinori Sarai. Genetic algorithm optimization
in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithmoptimized support vectors machines (GA-SVM). Molecular Diversity, 15(1):269–289, February 2011.
†PubMed ga11aMichaelFernandez ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20306130.
[44] Ming Hao, Yan Li, Yonghua Wang, and Shuwei Zhang. Prediction of P2Y12 antagonists using a novel
genetic algorithm-support vector machine coupled approach. Analytica Chimica Acta, 690(1):53–63, March
2011. †PubMed ga11aMingHao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21414436.
[45] M. Jalali-Heravi, A. Mani-Varnosfaderani, P. Eftekhar Jahromi, M. Mohsen Mahmoodi, and D. Taherinia.
Classification of anti-HIV compounds using counterpropagation artificial neural networks and decision
trees. SAR and QSAR in Environmental Research, 22(7).
[46] Razvan Andonie, Levente Fabry-Asztalos, Christopher Badi’ Abdul-Wahid, Sarah Abdul-Wahid, Grant I.
Barker, and Lukas C. Magill. Fuzzy ARTMAP prediction of biological activities for potential HIV-1
protease inhibitors using a small molecular data set. IEEE/ACM Transactions on Computational Biology
and Bioinformatics, 8(1):80–93, 2011. †PubMed ga11aRazvanAndonie ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/21071799.
[47] Reema Abu Khalaf, Ahmed Mutanabbi Abdula, Mohammad S. Mubarak, and Mutasem O. Taha. Discovery
of new beta-D-glucosidase inhibitors via pharmacophore modeling and QSAR analysis followed by in silico
screening. Journal of Molecular Modeling, 17(3):443–464, March 2011. †PubMed ga11aReemaAbuKhalaf
⇒ http://www.ncbi.nlm.nih.gov/pubmed/20490878.
66
Genetic algorithms in medicine
[48] R. Karbakhsh and R. Sabet. Application of different chemometric tools in QSAR study of azoloadamantanes against influenza A virus. Research in Pharmaceutical Sciences, 6(1):23–33, January 2011.
†PubMed ga11aRKarbakhsh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22049275.
[49] Shreekant Deshpande, Rinki Singh, Mohammad Goodarzi, Seturam B. Katti, and Yenamandra S.
Prabhakar. Consensus features of CP-MLR and GA in modeling HIV-1 RT inhibitory activity of 4benzyl/benzoylpyridin-2-one analogues. Journal of Enzyme Inhibition and Medicinal Chemistry, 26(5):696–
705, October 2011. †PubMed ga11aShreekantDeshpande ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21284408.
[50] Sidsel Frolund, Nicolas Rapin, and Carsten Uhd Nielsen. Gaboxadol has affinity for the proton-coupled
amino acid transporter 1, SLC36A1 (hPAT1)–a modelling approach to determine IC(50) values of the three
ionic species of gaboxadol. European Journal of Pharmaceutical Sciences, 42(3):192–198, February 2011.
†PubMed ga11aSidselFrolund ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21112392.
[51] Sisir Nandi and Manish C. Bagchi. Activity prediction of some nontested anticancer compounds using GAbased PLS regression models. Chemical Biology & Drug Design, 78(4):587–595, October 2011. †PubMed
ga11aSisirNandi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21752199.
[52] Tahereh Asadollahi, Shayessteh Dadfarnia, Ali Mohammad Haji Shabani, Jahan B. Ghasemi, and Maryam
Sarkhosh. QSAR models for CXCR2 receptor antagonists based on the genetic algorithm for data preprocessing prior to application of the PLS linear regression method and design of the new compounds using
in silico virtual screening. Molecules, 16(3):1928–1955, 2011. †PubMed ga11aTaherehAsadollahi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21358586.
[53] Xue lian Zhu, Hai yan Cai, Zhi jian Xu, Yong Wang, He yao Wang, Ao Zhang, and Wei liang Zhu.
Classification of 5-HT(1A) receptor agonists and antagonists using GA-SVM method. Acta Pharmacologica
Sinica, 32(11):1424–1430, November 2011. †PubMed ga11aXue-lianZhu ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/21963891.
[54] M. Jalali-Heravi and A. Mani-Varnosfaderani. QSAR modelling of integrin antagonists using enhanced
Bayesian regularised genetic neural networks. SAR and QSAR in Environmental Research, 22(3):293–314,
June 2011. †PubMed ga11bMJalali-Heravi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21598195.
[55] Anahita Kyani, Mohadeseh Mehrabian, and Havard Jenssen. Quantitative structure-activity relationships
and docking studies of calcitonin gene-related peptide antagonists. Chemical Biology & Drug Design,
79(2):166–176, February 2012. †PubMed ga12aAnahitaKyani ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21974743.
[56] C. K. M. Tripathi, Mahvish Khan, Vandana Praveen, Saif Khan, and Akanksha Srivastava. Enhanced
antibiotic production by Streptomyces sindenensis using artificial neural networks coupled with genetic
algorithm and Nelder-Mead downhill simplex. Journal of Microbiology and Biotechnology, 22(7):939–946,
July 2012. †PubMed ga12aCKMTripathi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22580313.
[57] Eric A. Sherer, Mark E. Sale, Bruce G. Pollock, Chandra P. Belani, Merrill J. Egorin, Percy S. Ivy,
Jeffrey A. Lieberman, Stephen B. Manuck, Stephen R. Marder, Matthew F. Muldoon, Howard I. Scher,
David B. Solit, and Robert R. Bies. Application of a single-objective, hybrid genetic algorithm approach
to pharmacokinetic model building. Journal of Pharmacokinetics and Pharmacodynamics, 39(4):393–414,
August 2012. †PubMed ga12aEricASherer ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22767341.
[58] Faizul Azam, Arwa M. Madi, and Hamed I. Ali. Molecular docking and prediction of pharmacokinetic
properties of dual mechanism drugs that block MAO-B and adenosine A(2A) receptors for the treatment of
Parkinson’s disease. Journal of Young Pharmacists, 4(3):184–192, July 2012. †PubMed ga12aFaizulAzam
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23112538.
[59] Fedor N. Novikov, Viktor S. Stroylov, Alexey A. Zeifman, Oleg V. Stroganov, Val Kulkov, and Ghermes G.
Chilov. Lead finder docking and virtual screening evaluation with Astex and DUD test sets. Journal
of Computer-aided Molecular Design, 26(6):725–735, June 2012. †PubMed ga12aFedorNNovikov ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22569592.
[60] Fumiyoshi Yamashita, Atsuto Fujita, Xingyi Zhang, Yukako Sasa, Kiyoshi Mihara, and Mitsuru Hashida.
Computer-based evolutionary search for a nonlinear conversion function for establishing in vitro-in vivo
correlation (IVIVC) of oral drug formulations. Drug Metabolism and Pharmacokinetics, 27(3):280–285,
2012. †PubMed ga12aFumiyoshiYamashita ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22146108.
[61] Ghadeer A. R. Y. Suaifan, Mayyada Shehadehh, Hebah Al-Ijel, and Mutasem O. Taha. Extensive ligandbased modeling and in silico screening reveal nanomolar inducible nitric oxide synthase (iNOS) inhibitors.
Journal of Molecular Graphics & Modelling, 37:1–26, July 2012. †PubMed ga12aGhadeerARYSuaifan ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22609742.
Bibliography
67
[62] Guanghua Fang, Mengzhu Xue, Mingbo Su, Dingyu Hu, Yanlian Li, Bing Xiong, Lanping Ma, Tao Meng,
Yuelei Chen, Jingya Li, Jia Li, and Jingkang Shen. CCLab–a multi-objective genetic algorithm based
combinatorial library design software and an application for histone deacetylase inhibitor design. Bioorganic
& Medicinal Chemistry Letters, 22(14):4540–4545, July 2012. †PubMed ga12aGuanghuaFang ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22738629.
[63] Hans Matter, Lennart T. Anger, Clemens Giegerich, Stefan Gussregen, Gerhard Hessler, and Karl-Heinz
Baringhaus. Development of in silico filters to predict activation of the pregnane X receptor (PXR) by
structurally diverse drug-like molecules. Bioorganic & Medicinal Chemistry, 20(18):5352–5365, September
2012. †PubMed ga12aHansMatter ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22560839.
[64] Hardik G. Bhatt and Paresh K. Patel. Pharmacophore modeling, virtual screening and 3D-QSAR studies of 5-tetrahydroquinolinylidine aminoguanidine derivatives as sodium hydrogen exchanger inhibitors.
Bioorganic & Medicinal Chemistry Letters, 22(11):3758–3765, June 2012. †PubMed ga12aHardikGBhatt
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22546667.
[65] Hassan Golmohammadi, Zahra Dashtbozorgi, and William E. Jr Acree. Quantitative structure-activity relationship prediction of blood-to-brain partitioning behavior using support vector machine. European Journal of Pharmaceutical Sciences, 47(2):421–429, September 2012. †PubMed ga12aHassanGolmohammadi
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22771548.
[66] Ibrahim A. Naguib and Hany W. Darwish. Support vector regression and artificial neural network models
for stability indicating analysis of mebeverine hydrochloride and sulpiride mixtures in pharmaceutical
preparation: a comparative study. Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy,
86:515–526, February 2012. †PubMed ga12aIbrahimANaguib ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
22137012.
[67] Isha Nagpal, Isha Raj, Naidu Subbarao, and Samudrala Gourinath. Virtual screening, identification and
in vitro testing of novel inhibitors of O-acetyl-L-serine sulfhydrylase of Entamoeba histolytica. PloS One,
7(2):e30305, 2012. †PubMed ga12aIshaNagpal ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22355310.
[68] Jahan B. Ghasemi and Hossein Tavakoli. Improvement of the prediction power of the CoMFA and CoMSIA
models on histamine H3 antagonists by different variable selection methods. Scientia Pharmaceutica,
80(3):547–566, September 2012. †PubMed ga12aJahanBGhasemi ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23008805.
[69] Jie Zhang, Xiaoyan Pan, Chen Wang, Fang Wang, Pengfei Li, Wenfang Xu, and Langchong He. Pharmacophore modeling, 3D-QSAR studies, and in-silico ADME prediction of pyrrolidine derivatives as
neuraminidase inhibitors. Chemical Biology & Drug Design, 79(3):353–359, March 2012. †PubMed
ga12aJieZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22222003.
[70] M. Asadollahi-Baboli. Quantitative structure-activity relationship analysis of human neutrophil elastase
inhibitors using shuffling classification and regression trees and adaptive neuro-fuzzy inference systems.
SAR and QSAR in Environmental Research, 23(5).
[71] Mehdi Khoshneviszadeh, Najmeh Edraki, Ramin Miri, Alireza Foroumadi, and Bahram Hemmateenejad.
QSAR study of 4-aryl-4H-chromenes as a new series of apoptosis inducers using different chemometric tools.
Chemical Biology & Drug Design, 79(4):442–458, April 2012. †PubMed ga12aMehdiKhoshneviszadeh ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22136072.
[72] Melvin J. Yu, Wanjun Zheng, and Karen Tendyke. Atom-based enumeration: new eribulin analogues
with low susceptibility to P-glycoprotein-mediated drug efflux. Bioorganic & Medicinal Chemistry Letters, 22(24):7363–7366, December 2012. †PubMed ga12aMelvinJYu ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23141916.
[73] Nazmiye Gecen, Emin Saripinar, Ersin Yanmaz, and Kader Sahin. Application of electron conformationalgenetic algorithm approach to 1,4-dihydropyridines as calcium channel antagonists: pharmacophore identification and bioactivity prediction. Journal of Molecular Modeling, 18(1):65–82, January 2012. †PubMed
ga12aNazmiyeGecen ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21451963.
[74] Nima Razzaghi-Asl, Ahmad Ebadi, Najmeh Edraki, Ahmadreza Mehdipour, Sara Shahabipour, and Ramin
Miri. Response surface methodology in docking study of small molecule BACE-1 inhibitors. Journal
of Molecular Modeling, 18(10):4567–4576, October 2012. †PubMed ga12aNimaRazzaghi-Asl ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22581101.
[75] Porika Mahendar, Kalam Sirisha, Umasankar Kulandaivelu, Prakhya Laxmi Jaya Shankar, Tippani Radhika, and Abbagani Sadanandam. In silico evaluation of TERT inhibition by anticancer drugs. Journal of Molecular Modeling, 18(10):4739–4744, October 2012.
†PubMed ga12aPorikaMahendar ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22669532.
68
Genetic algorithms in medicine
[76] Prafulla B. Choudhari, Manish S. Bhatia, and Swapnil D. Jadhav. Pharmacophore identification and QSAR
studies on substituted benzoxazinone as antiplatelet agents: kNN-MFA approach. Scientia Pharmaceutica,
80(2):283–294, June 2012. †PubMed ga12aPrafullaBChoudhari ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22896816.
[77] Praveen Kumar and Laxmi Tripathi. A new class of anticonvulsants possessing 6 Hz psychomotor seizure
test activity: 2-(1H-benzotriazol-1-yl)-N’-[substituted] acetohydrazides. Medicinal Chemistry, 8(3):337–
348, May 2012. †PubMed ga12aPraveenKumar ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22530911.
[78] Priyanka Shah, Sumit Kumar, Sunita Tiwari, and Mohammad Imran Siddiqi. 3D-QSAR studies of triazolopyrimidine derivatives of Plasmodium falciparum dihydroorotate dehydrogenase inhibitors using a
combination of molecular dynamics, docking, and genetic algorithm-based methods. Journal of Chemical Biology, 5(3):91–103, July 2012. †PubMed ga12aPriyankaShah ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23382788.
[79] Rami A. Al-Horani, Akul Y. Mehta, and Umesh R. Desai. Potent direct inhibitors of factor Xa based on
the tetrahydroisoquinoline scaffold. European Journal of Medicinal Chemistry, 54:771–783, August 2012.
†PubMed ga12aRamiAAl-Horani ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22770607.
[80] Rand Shahin and Mutasem O. Taha. Elaborate ligand-based modeling and subsequent synthetic exploration unveil new nanomolar Ca2+/calmodulin-dependent protein kinase II inhibitory leads. Bioorganic & Medicinal Chemistry, 20(1):377–400, January 2012. †PubMed ga12aRandShahin ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22112539.
[81] Razieh Sabet, Afshin Fassihi, Bahram Hemmateenejad, Lotfollah Saghaei, Ramin Miri, and Maryam Gholami. Computer-aided design of novel antibacterial 3-hydroxypyridine-4-ones: application of QSAR methods based on the MOLMAP approach. Journal of Computer-aided Molecular Design, 26(3):349–361, March
2012. †PubMed ga12aRaziehSabet ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22456859.
[82] Reaz Uddin, Mazhar U. Lodhi, and Zaheer Ul-Haq. Combined pharmacophore and 3D-QSAR study on
a series of Staphylococcus aureus sortase a inhibitors. Chemical Biology & Drug Design, 80(2):300–314,
August 2012. †PubMed ga12aReazUddin ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22553957.
[83] Renyu Liu, Jose Manuel Perez-Aguilar, David Liang, and Jeffery G. Saven. Binding site and affinity
prediction of general anesthetics to protein targets using docking. Anesthesia and Analgesia, 114(5):947–
955, May 2012. †PubMed ga12aRenyuLiu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22392968.
[84] Sainath Babu, Nadeem A. Vellore, Agasthya V. Kasibotla, Harlan J. Dwayne, Michael A. Stubblefield, and
Rao M. Uppu. Molecular docking of bisphenol A and its nitrated and chlorinated metabolites onto human
estrogen-related receptor-gamma. Biochemical and Biophysical Research Communications, 426(2):215–220,
September 2012. †PubMed ga12aSainathBabu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22935422.
[85] Sebastian Bandholtz, Jorg Wichard, Ronald Kuhne, and Carsten Grotzinger. Molecular evolution of a
peptide GPCR ligand driven by artificial neural networks. PloS One, 7(5):e36948, 2012. †PubMed
ga12aSebastianBandholtz ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22606313.
[86] Sharath Golla, Brian J. Neely, Eric Whitebay, Sundar Madihally, Robert L. Jr Robinson, and Khaled
A. M. Gasem. Virtual design of chemical penetration enhancers for transdermal drug delivery. Chemical
Biology & Drug Design, 79(4):478–487, April 2012. †PubMed ga12aSharathGolla ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/22172168.
[87] Soumi Sengupta and Sanghamitra Bandyopadhyay. De novo design of potential RecA inhibitors using
multi objective optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics,
9(4):1139–1154, July-August 2012. †PubMed ga12aSoumiSengupta ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22392725.
[88] Y. Uesawa and K. Mohri. Quantitative structure-interaction relationship analysis of 1,4-dihydropyridine
drugs in concomitant administration with grapefruit juice. Die Pharmazie, 67(3):195–201, March 2012.
†PubMed ga12aYUesawa ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22530299.
[89] Yuhui Wei, Lili Xi, Xiaojun Yao, Jiazhong Li, and Xinan Wu. Quantitative structure-activity relationship
analysis of a series of human renal organic anion transporter inhibitors. Archiv Der Pharmazie, 345(10):759–
766, October 2012. †PubMed ga12aYuhuiWei ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22829314.
[90] Yunierkis Perez-Castillo, Cosmin Lazar, Jonatan Taminau, Mathy Froeyen, Miguel Angel Cabrera-Perez,
and Ann Nowe. GA(M)E-QSAR: a novel, fully automatic genetic-algorithm-(meta)-ensembles approach
for binary classification in ligand-based drug design. Journal of Chemical Information and Modeling,
52(9):2366–2386, September 2012. †PubMed ga12aYunierkisPerez-Castillo ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/22856471.
Bibliography
69
[91] Zvetanka Zhivkova and Irini Doytchinova. Prediction of steady-state volume of distribution of acidic
drugs by quantitative structure-pharmacokinetics relationships. Journal of Pharmaceutical Sciences,
101(3):1253–1266, March 2012. †PubMed ga12aZvetankaZhivkova ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22170307.
[92] Hadi Noorizadeh and Abbas Farmany. Determination of partitioning of drug molecules using immobilized
liposome chromatography and chemometrics methods. Drug Testing and Analysis, 4(2):151–157, February
2012. †PubMed ga12bHadiNoorizadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21438160.
[93] Rand Shahin, Saja Alqtaishat, and Mutasem O. Taha. Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors. Journal of Computer-aided Molecular Design, 26(2):249–266, February
2012. †PubMed ga12bRandShahin ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22167443.
[94] Zvetanka Zhivkova and Irini Doytchinova. Quantitative structure–plasma protein binding relationships
of acidic drugs. Journal of Pharmaceutical Sciences, 101(12):4627–4641, December 2012. †PubMed
ga12bZvetankaZhivkova ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22961754.
[95] Alexey V. Sulimov, Danil C. Kutov, Igor V. Oferkin, Ekaterina V. Katkova, and Vladimir B. Sulimov.
Application of the docking program SOL for CSAR benchmark. Journal of Chemical Information and
Modeling, 53(8):1946–1956, August 2013. †PubMed ga13aAlexeyVSulimov ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/23829357.
[96] Amit Kumar Halder, Achintya Saha, and Tarun Jha. Exploring QSAR and pharmacophore mapping
of structurally diverse selective matrix metalloproteinase-2 inhibitors. The Journal of Pharmacy and
Pharmacology, 65(10):1541–1554, October 2013. †PubMed ga13aAmitKumarHalder ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/24028622.
[97] Erik E. Santiso, Nicholas Musolino, and Bernhardt L. Trout. Design of linear ligands for selective separation
using a genetic algorithm applied to molecular architecture. Journal of Chemical Information and Modeling,
53(7):1638–1660, July 2013. †PubMed ga13aErikESantiso ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23844994.
[98] Farzin Hadizadeh, Saadat Vahdani, and Mehrnaz Jafarpour. Quantitative structure-activity relationship
studies of 4-Imidazolyl-1,4-dihydropyridines as calcium channel blockers. Iranian Journal of Basic Medical
Sciences, 16(8):910–916, August 2013. †PubMed ga13aFarzinHadizadeh ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/24106595.
[99] Guanghui Huang, Jianping Wan, and Hui Chen. Density-based Monte Carlo filter and its applications
in nonlinear stochastic differential equation models. Computers in Biology and Medicine, 43(2):135–143,
February 2013. †PubMed ga13aGuanghuiHuang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23246109.
[100] Hadi Noorizadeh, S. Sobhan-Ardakani, F. Raoofi, Mehrad Noorizadeh, S. S. Mortazavi, T. Ahmadi, and
K. Pournajafi. Application of artificial neural network to predict the retention time of drug metabolites in
two-dimensional liquid chromatography. Drug Testing and Analysis, 5(5):315–319, May 2013. †PubMed
ga13aHadiNoorizadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22012704.
[101] Lalehan Akyuz and Emin Saripinar. Conformation depends on 4D-QSAR analysis using EC-GA method:
pharmacophore identification and bioactivity prediction of TIBOs as non-nucleoside reverse transcriptase
inhibitors. Journal of Enzyme Inhibition and Medicinal Chemistry, 28(4):776–791, August 2013. †PubMed
ga13aLalehanAkyuz ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22591319.
[102] Lorentz Jantschi and Sorana D. Bolboaca. Supervised evolution: research concerning the number of
evolutions that occur under certain constraints. Chemical Biology & Drug Design, 82(5):603–611, November
2013. †PubMed ga13aLorentzJantschi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23865567.
[103] L. Saghaie, M. Shahlaei, and A. Fassihi. Quantitative structure activities relationships of some 2mercaptoimidazoles as CCR2 inhibitors using genetic algorithm-artificial neural networks. Research in
Pharmaceutical Sciences, 8(2):97–112, April 2013. †PubMed ga13aLSaghaie ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/24019819.
[104] Majid Zandkarimi, Mohammad Shafiei, Farzin Hadizadeh, Mohammad Ali Darbandi, and Kaveh Tabrizian.
Prediction of pharmacokinetic parameters using a genetic algorithm combined with an artificial neural
network for a series of alkaloid drugs. Scientia Pharmaceutica, 82(1):53–70, March 2013. †PubMed
ga13aMajidZandkarimi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24634842.
[105] Mark Sale and Eric A. Sherer. A genetic algorithm based global search strategy for population pharmacokinetic/pharmacodynamic model selection. British Journal of Clinical Pharmacology, June 2013. †PubMed
ga13aMarkSale ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23772792.
70
Genetic algorithms in medicine
[106] Pius Fasinu, Yahya E. Choonara, Riaz A. Khan, Lisa C. D Toit, Pradeep Kumar, Valence M. K. Ndesendo, and Viness Pillay. Flavonoids and polymer derivatives as CYP3A4 inhibitors for improved oral
drug bioavailability. Journal of Pharmaceutical Sciences, 102(2):541–555, February 2013. †PubMed
ga13aPiusFasinu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23188647.
[107] Preetpal S. Sidhu, Philip D. Mosier, Qibing Zhou, and Umesh R. Desai. On scaffold hopping: challenges
in the discovery of sulfated small molecules as mimetics of glycosaminoglycans. Bioorganic & Medicinal
Chemistry Letters, 23(1):355–359, January 2013. †PubMed ga13aPreetpalSSidhu ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23164711.
[108] Sergey Shityakov and Carola Forster. Multidrug resistance protein P-gp interaction with nanoparticles
(fullerenes and carbon nanotube) to assess their drug delivery potential: a theoretical molecular docking
study. International Journal of Computational Biology and Drug Design, 6(4):343–357, 2013. †PubMed
ga13aSergeyShityakov ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24088267.
[109] Tomohiro Kinjo, Yuji Koseki, Maiko Kobayashi, Atsumi Yamada, Koji Morita, Kento Yamaguchi, Ryoya Tsurusawa, Gulcin Gulten, Hideyuki Komatsu, Hiroshi Sakamoto, James C. Sacchettini, Mitsuru
Kitamura, and Shunsuke Aoki. Identification of compounds with potential antibacterial activity against
mycobacterium through structure-based drug screening. Journal of Chemical Information and Modeling,
53(9):1200–1212, September 2013. †PubMed ga13aTomohiroKinjo ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23600706.
[110] Yogendra Singh and S. K. Srivastav. Statistical and evolutionary optimization for enhanced production
of an antileukemic enzyme, L-asparaginase, in a protease-deficient Bacillus aryabhattai ITBHU02 isolated
from the soil contaminated with hospital waste. Indian Journal of Experimental Biology, 51(4):322–335,
April 2013. †PubMed ga13aYogendraSingh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24195352.
[111] Zhengwei Peng. Very large virtual compound spaces: construction, storage and utility in drug discovery.
Drug Discovery Today. Technologies, 10(3):e387–e394, September 2013. †PubMed ga13aZhengweiPeng
⇒ http://www.ncbi.nlm.nih.gov/pubmed/24050135.
[112] Hadi Noorizadeh, Abbas Farmany, and Mehrad Noorizadeh. pK(a) modelling and prediction of drug
molecules through GA-KPLS and L-M ANN. Drug Testing and Analysis, 5(2):103–109, February 2013.
†PubMed ga13cHadiNoorizadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21500371.
[113] Hadi Noorizadeh, S. Sobhan Ardakani, T. Ahmadi, S. S. Mortazavi, and Mehrad Noorizadeh. Application of
genetic algorithm-kernel partial least square as a novel non-linear feature selection method: partitioning of
drug molecules. Drug Testing and Analysis, 5(2):89–95, February 2013. †PubMed ga13dHadiNoorizadeh
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21438162.
[114] Hadi Noorizadeh, Abbas Farmany, Mehrad Noorizadeh, and M. Kohzadi. Prediction of polar surface area
of drug molecules: a qspr approach. Drug Testing and Analysis, 5(4):222–227, April 2013. †PubMed
ga13eHadiNoorizadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21539000.
[115] Hadi Noorizadeh, Sami Sajjadifar, and Abbas Farmany. A quantitative structure-activity relationship study
of anti-HIV activity of substituted HEPT using nonlinear models. Medicinal Chemistry Research, 22:5442–
5452, 2013. †PubMed ga13fHadiNoorizadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24098069.
[116] Katja Venko, Spela Zuperl, and Marjana Novic. Prediction of antiprion activity of therapeutic agents with
structure-activity models. Molecular Diversity, 18(1):133–148, February 2014. †PubMed ga14aKatjaVenko
⇒ http://www.ncbi.nlm.nih.gov/pubmed/24052197.
[117] William Eugene Hart. Adaptive global optimization with local search. PhD thesis, University of California,
San Diego, 1994. * DAI Vol. 55 No. 7 ga94aHart.
[118] J. Roberts. Structure-based drug design ten years on.
†News/Gazit ga94aJRoberts.
Nature-Structural Biology, 1(6):?, ?
1994.
[119] Leuo-Hong Wang, Cheng-Yan Kao, Ming Ouh-Young, and Wen-Chin Cheu. Using an annealing genetic
algorithm to solve global energy minimization problem in molecular binding. In Proceedings of the 6th IEEE
Conference on Tools with Artificial Intelligence (TAI’94), pages 401–410, New Orleans, LA, 6.-9. November
1994. IEEE Computer Society Press, Los Alamitos, CA. ga94aLHWang.
[120] Anon. Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User’s Reference, Chapter 16: Introduction
to genetic function approximation, 1994. ga94eAnon.
[121] Yong Liang (Leon) Xiao. Computer-assisted drug design: Genetic algorithms and structures of molecular
clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine. PhD thesis, University of Louisville,
Department od Chemistry, 1994. * Xiao DAI Vol 55 No 7 ga94eXiao.
Bibliography
71
[122] A. Parrill. Evolutionary and genetic methods in drug design. Drug Discovery Today, 1(?):514–521, ? 1996.
†David E. Clark/bib ga96aParrill.
[123] Sung Jin Cho, Weifan Zheng, and Alexander Tropsha. Application of genetic algorithms to de novo design
of therapeutic peptides [Abstract of a poster]. In Proceedings of the International Conference on Protein
Folding and Design, Poster Abstracts, page 32, Bethesda, MD, 23.-26. April 1996. National Institutes of
Health, Bethesda, MD. * ga96aSJCho.
[124] Ajita Atul Bhat. Applications of bioinformatics, homology modeling and QSAR to drug design. PhD thesis,
University of Georgia, 1997. * www /UMI ga97aAjitaAtulBhat.
[125] Emil Marcus. Determination of 3D structure of suramin in solution and model of interaction of suramin
with basic fibroblast and platelet-derived growth factors. PhD thesis, State University of New York at
Buffalo, 1997. * www /UMI ga97aEmilMarcus.
[126] Kevin Patrick Clark. The design of a ligand discovery and optimization system for structure-based drug
design. PhD thesis, University of California, San Francisco, 1997. * www /UMI ga97aKPClark.
[127] D. J. Maddalena and G. M. Snowdon. Application of genetic algorithms to drug design. Expert Opinion
on Therapeutic Patents, 7(3):247–254, ? 1997. †ChA 271637f/97 ga97aMaddalena.
[128] Shanrong Zhao, Hualing Jian, Dongxiang Liu, and Kaixian Chen. Genetic algorithm and drug molecular
design. Huaxue Jinzhan, 9(4):405–415, ? 1997. (in Chinese) * ChA 97166f/98 ga97aShanrongZhao.
[129] Albert Yongwon Jin. Biologically driven molecular modeling for anticonvulsant drug design. PhD thesis,
Queen’s University at Kingston, 1998. * www /UMI ga98aAlbertYongwonJin.
[130] Chien-Cheng Chen, Leuo-Hong Wang, Ceng-Yan Kao, Ming Ouhyoung, and Wen-Chin Chen. Molecularbinding in structure-based drug design - a case-study of the population-based annealing genetic algorithms. In Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence,
pages 328–335, Taipei, Taiwan, 10.-12. November 1998. IEEE Computer Society Press, Los Alamitos, CA.
ga98aCCChen.
[131] David E. Clark. Some current trends in evolutionary algorithm research exemplified by applications in
computer-aided molecular design. MATCH – Communications in Mathematical and in Computer Chemistry, (38):85–98, October 1998. ga98aDEClark.
[132] Klaus Gubernator. Evolutionary drug discovery [abstract of an invited lecture]. In Sorin Istrail, Pavel
Pevzner, and Michael Waterman, editors, Proceedings of the Second Annual Conference on Computational
Molecular Biology, page 101, New York, NY, 22.-25. March 1998. ACM Press. ga98aGubernator.
[133] Hugo Kubinyi. Quantitative structure-activity relationships in drug design. In Paul von Ragu´e Schleyer,
editor, Encyclopedia of Computational Chemistry, volume 4, pages 2309–2320. John Wiley & Sons, New
York, 1998. ga98aHugoKubinyi.
[134] Peter C. Jurs. Quantitative structure-property relationships (QSPR). In Paul von Ragu´e Schleyer, editor,
Encyclopedia of Computational Chemistry, volume 4, pages 2320–2330. John Wiley & Sons, New York,
1998. ga98aPCJurs.
[135] Vladimir Brusic, George Rudy, Marco Honeyman, J¨
urgen Hammer, and Leonard C. Harrison. Prediction
of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network. Bioinformatics, 14(2):121–130, 1998. ga98aVBrusic.
[136] Anon. A scientist seeks gold in a controversial drug patent. Wall Street Journal, ?(?):Marketplace/1,
3. August 1998. †M. Gottlieb/genetic-programming list ga98bAnon.
[137] Yukio Tominaga. Novel 3D descriptors using excluded volume 2: Application to drug classification.
Journal of Chemical Information and Computing Science, 38(6):1157–1160, ? 1998. * ChA 13616h
ga98bYukioTominaga.
[138] David E. Clark. Evolutionary algorithms in computer-aided molecular design: a review of current applications and a look to the future. In ?, editor, ACS Symposium Series, volume 719, pages 255–270, ?, ?
1999. American Chemical Society. * ChA 237350a/99 ga99aDEClark.
[139] Gareth Jones, Peter Willett, Robert C. Glen, Andrew R. Leach, and Robin Taylor. Further development
of a genetic algorithm for ligand docking and its application to screening combinatorial libraries. In ?,
editor, ACS Symposium Series, volume 719, pages 271–291, ?, ? 1999. American Chemical Society. *
ChA 237498e/99 ga99aGarethJones.
[140] Jianquan Chen and Hanlin Chi. Fast docking of drug molecules to their receptor. Chin. Sci. Bull,
44(10):904–908, 1999. †ChA223021/99 ga99aJianChen.
72
Genetic algorithms in medicine
[141] David B. Turner, Peter Willett, Allan M. Ferguson, and Trevor W. Heritage. Development and validation
of the EVA descriptor for QSAR studies. In ?, editor, ACS Symposium Series, volume 719, pages 312–329,
?, ? 1999. American Chemical Society. * ChA 237351b/99 ga99aTurner.
[142] William E. Hart. Comparing evolutionary programs and evolutionary pattern search algorithms: A drug
docking application. In ?, editor, Proceedings of the GECCO-99 Conference, volume ?, page ?, Orlando,
FL, 13.-17. July 1999. ? ga99aWEHart.
[143] Chunyan Li Guanghua and Ouyang Guotai Jiang. An optimization algorithm for hurtless location of
epilepsy foci. In Proceedings of the 23rd Annual EMBS International Conference, page 938, Istanbul
(Turkey), 25.-28. October 2001. IEEE, Piscataway, NJ. ga01aCLGuanghua.
[144] Sabri Ko¸cer and M. Rahmi Canal. Classifying epilepsy diseases using artificial neural networks and genetic
algorithm. Journal of Medical Systems, 35(4):489–498, August 2011. ga11aSabriKocer ⇒ http://www.
springerlink.com/content/j362366625471648/?MUD=MP.
[145] Alejo J. Nevado-Holgado, Frank Marten, Mark P. Richardson, and John R. Terry. Characterising
the dynamics of EEG waveforms as the path through parameter space of a neural mass model: application to epilepsy seizure evolution. NeuroImage, 59(3):2374–2392, February 2012.
†PubMed
ga12aAlejoJNevado-Holgado ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21945471.
[146] Harikumar Rajaguru, Vijayakumar Thangavel, and Vinoth Kumar Bojan.
Fuzzy Genetic Algorithms, SVM Methods for Epilepsy Classification: Fuzzy Genetic Al gorithms, SVM and Statistical Analysis in Classification of Diabetic Epilepsy Risk Level from EEG Signal. LAP LAMBERT
Academic Publishing, ?, 2012.
†Amazon ga12aHarikumarRajaguru ⇒ http://www.amazon.com/
Genetic-Algorithms-Methods-Epilepsy-Classification/dp/3659133248.
[147] Chia-Ping Shen, Shih-Ting Liu, Wei-Zhi Zhou, Feng-Seng Lin, Andy Yan-Yu Lam, Hsiao-Ya Sung, Wei
Chen, Jeng-Wei Lin, Ming-Jang Chiu, Ming-Kai Pan, Jui-Hung Kao, Jin-Ming Wu, and Feipei Lai. A
physiology-based seizure detection system for multichannel EEG. PloS One, 8(6):e65862, 2013. †PubMed
ga13aChia-PingShen ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23799053.
[148] Yazdan Shirvany, Fredrik Edelvik, Stefan Jakobsson, Anders Hedstr¨
om, and Mikael Persson. Application of particle swarm optimization in epileptic spike EEG source localization. Applied Soft Computing, 13(5):2515–2525, May 2013. ga13aYazdanShirvany ⇒ http://www.sciencedirect.com/science/
article/pii/S1568494612005194.
´
[149] Bruno Marchesi, Alvaro
Luis Stelle, and Heitor Silv´erio Lopez. Detection of epileptic events using genetic
programming. In Proceedings of the 1997 IEEE/EMBS Conference, volume ?, pages 1198–1201, Chicago,
IL, 30. October-2. November 1997. IEEE, Piscataway, NJ. ga97aBrunoMarchesi ⇒ http://ieeexplore.
ieee.org/stamp/stamp.jsp?tp=&arnumber=75657.
[150] Michael Scherg, Thomas Bast, and Patrick Berg. Multiple source analysis of interictal spikes: Goals,
requirements, and clinical value. Journal of Clinical Neurophysiology, 16(3):214–224, May 1999.
*
Google ga99aMichaelScherg ⇒ http://journals.lww.com/clinicalneurophys/Abstract/1999/05000/
Multiple Source Analysis of Interictal Spikes .3.aspx.
[151] A. S. Fraser. Simulation of genetic systems by automatic digital computers, 5-linkage, dominance and
epistasis. In O. Kempthorne, editor, Biometrical genetics, pages 70–83. Macmillan, New York, 1960. †[?]
ga:ASFraser60.
[152] A. S. Fraser. Simulation of genetic systems. Journal of Theoretical Biology, 2(?):329–346, 1962.
ga:ASFraser62.
†
[153] G. J. Friedman. Digital simulation of an evolutionary process. In General Systems Yearbook, volume 4,
pages 171–184. 1959. † ga:Friedman59.
[154] Martina Gorges-Schleuter. Asparagos: A population genetics approach to genetic algorithms. In HansMichael Voigt, Heinz M¨
uhlenbein, and Hans-Paul Schwefel, editors, Evolution and Optimization ’89, Selected Papers on Evolution Theory, Combinatorial Optimization, and Related Topics, pages 86–94, Wartburg Castle, Eisenach (Germany), 2.-4. April 1989. Akademie-Verlag, Berlin. ga:Gorges-Schleuter89b.
[155] Martina Gorges-Schleuter. Asparagos: A parallel genetic algorithm for population genetics. Number
565 in Lecture Notes in Artificial Intelligence, pages 407–418, Neubiberg (Germany) and Wildbad Kreuth
(Germany), 10.-11. March and 24.-28. July 1989 1991. Springer-Verlag, Berlin. ga:Gorges-Schleuter91a.
[156] R. S. Rosenberg. Simulation of genetic populations with biochemical properties: I. the model. Mathematical
Biosciences, 7(?):223–257, 1970. † ga:Rosenberg70a.
Bibliography
73
[157] Øivind Braaten, Olaug K. Rødningen, Inger Nordal, and Troud P. Leren. The genetic algorithm applied
to haplotype data at the LDL receptor locus. Computer Methods and Programs in Biomedicine, 61(1):1–9,
January 2000. ga00aBraaten.
[158] O. Carlborg, L. Andersson, and B. Kinghorn. The use of a genetic algorithm for simultaneous mapping of
multiple interacting quantitative trait loci. Genetics, 155(4):2003–2010, August 2000. * PubMed10924492
ga00aOCarlborg.
[159] Apoorva Patel. Why genetic information processing could have a quantum basis. Journal of Biosciences,
26(2):145–151, June 2001. ga01aAPatel.
[160] Hadi Quesneville and Dominique Anxolab´eh`ere. Genetic algorithm-based model of evolutionary dynamics of class II transposable elements. Journal of Theoretical Biology, 213(1):21–30, 7. November 2001.
ga01aHadiQuesneville.
[161] Richard E. Lenski. Come fly, and leave the baggage behind. Science, 294(5542):533–534, 19. October 2001.
ga01aRELenski.
[162] William R. Rice and Adam K. Chippindale. Sexual recombination and the power of natural selection.
Science, 294(5542):555–559, 19. October 2001. ga01aWRRice.
[163] Matthew J. Brauer, Mark T. Holder, Laurie A. Dries, Derrick J. Zwickl, Paul O. Lewis, and David M.
Hillis. Genetic algorithms and parallel processing in maximum-likelihood phylogeny inference. Molecular
Biology and Evolution, 19(10):1717–1726, October 2002. ga02aMJBrauer.
[164] Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, and Jason H. Moore. Optimization
of neural network architecture using genetic programming improves detection and modeling of gene-gene
interactions in studies of human diseases. BMC Bioinformatics, 4(?):28–42, 7. July 2003. ga03aMDRitchie.
[165] Robert M. Hubley, Eckart Zitzler, and Jared C. Roach. Evolutionary algorithms for the selection of single
nucleotide polymorphisms. BMC Bioinformatics, 4(?):30–46, 23. July 2003. ga03aRMHubley.
[166] Alessandro Passaro, Flavio Baronti, and Valentina Maggini. Exploring relationships between genotype
and oral cancer development through XCS. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops
on Genetic and Evolutionary Computation (GECCO-05), pages 147–151, Washington, D.C., 25.-26. June
2005. ACM, New York. ga05aAPassaro.
[167] Trevor E. Pitcher and Bryan D. Neff. MHC class IIB alleles contribute to both additive and nonadditive
genetic effects on survival in Chinook salmon. Molecular Ecology, 15(9):2357–2365, August 2006. †ISI
ga06aTEPitcher.
[168] Anne D. Costard and Jean-Michel Elsen. Optimization of gene-assisted selection in small-sized populations:
comparison of deterministic and stochastic approaches. Frontiers in Genetics, 2:40, 2011. †PubMed
ga11aAnneDCostard ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22303336.
[169] Dan Liu, Rong Zhou, Jialong Zhang, Lei Zhou, Qiuyue Jiang, Xin Guo, Xinna Ge, and Hanchun Yang.
Recombination analyses between two strains of porcine reproductive and respiratory syndrome virus in
vivo. Virus Research, 155(2):473–486, February 2011. †PubMed ga11aDanLiu ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/21167230.
[170] Hrishikesh Mishra, Nitya Singh, Krishna Misra, and Tapobrata Lahiri. An ANN-GA model based promoter prediction in arabidopsis thaliana using tilling microarray data. Bioinformation, 6(6):240–243, 2011.
†PubMed ga11aHrishikeshMishra ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21887014.
[171] P. Xuan, M. Z. Guo, J. Wang, C. Y. Wang, X. Y. Liu, and Y. Liu. Genetic algorithm-based efficient
feature selection for classification of pre-miRNAs. Genetics and Molecular Research, 10(2):588–603, 2011.
†PubMed ga11aPXuan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21491369.
[172] Ramesh Ram and Madhu Chetty. A Markov-blanket-based model for gene regulatory network inference.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(2):353–367, March-April 2011.
†PubMed ga11aRameshRam ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21233520.
[173] Ming Zheng, Jia nan Wu, Yan xin Huang, Gui xia Liu, You Zhou, and Chun guang Zhou. Inferring
gene regulatory networks by singular value decomposition and gravitation field algorithm. PloS One,
7(12):e51141, 2012. †PubMed ga12aMingZheng ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23226565.
[174] Rong-Lin Wang, David Bencic, Adam Biales, Robert Flick, Jim Lazorchak, Daniel Villeneuve, and
Gerald T. Ankley. Discovery and validation of gene classifiers for endocrine-disrupting chemicals in
zebrafish (danio rerio). BMC Genomics, 13:358, 2012.
†PubMed ga12aRong-LinWang ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22849515.
74
Genetic algorithms in medicine
[175] Sawannee Sutheeworapong, Motonori Ota, Hiroyuki Ohta, and Kengo Kinoshita. A novel biclustering
approach with iterative optimization to analyze gene expression data. Advances and Applications in
Bioinformatics and Chemistry, 5:23–59, 2012. †PubMed ga12aSawanneeSutheeworapong ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/23055751.
[176] Tianhai Tian and Jiangning Song. Mathematical modelling of the MAP kinase pathway using proteomic
datasets. PloS One, 7(8):e42230, 2012. †PubMed ga12aTianhaiTian ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22905119.
[177] Benqiong Hu, Gang Jiang, Chaoyang Pang, Shipeng Wang, Qingzhong Liu, Zhongxue Chen, Charles R.
Vanderburg, Jack T. Rogers, Youping Deng, and Xudong Huang. Assessment of gene order computing methods for Alzheimer’s disease. BMC Medical Genomics, 6(Suppl 1):S8, 2013.
†PubMed
ga13aBenqiongHu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23369541.
[178] Cheng-Hong Yang, Yu-Da Lin, Li-Yeh Chuang, and Hsueh-Wei Chang. Evaluation of breast cancer susceptibility using improved genetic algorithms to generate genotype SNP barcodes. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2):361–371, March-April 2013.
†PubMed
ga13aCheng-HongYang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23929860.
[179] Ilhan Ilhan and Gulay Tezel. A genetic algorithm-support vector machine method with parameter optimization for selecting the tag SNPs. Journal of Biomedical Informatics, 46(2):328–340, April 2013.
†PubMed ga13aIlhanIlhan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23262450.
[180] Jian Cheng, Wenwu Wu, Yinwen Zhang, Xiangchen Li, Xiaoqian Jiang, Gehong Wei, and Shiheng Tao.
A new computational strategy for predicting essential genes. BMC Genomics, 14, 2013. †PubMed
ga13aJianCheng ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24359534.
[181] Li-Yeh Chuang, Yu-Huei Cheng, Cheng-Huei Yang, and Cheng-Hong Yang. Associate PCR-RFLP assay
design with SNPs based on genetic algorithm in appropriate parameters estimation. IEEE Transactions
on Nanobioscience, 12:119–127, 2013. †PubMed ga13aLi-YehChuang ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23722280.
[182] Nan Gao, Ning Yang, and Jijun Tang. Ancestral genome inference using a genetic algorithm approach.
PloS One, 8(5):e62156, May 2013. †PubMed ga13aNanGao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23658708.
[183] R. W. Anderson. Genetic mechanisms underlying the Baldwin effect are evident in natural antibodies. In
McDonnell et al. [1168], page ? †conf.prog ga95aAnderson.
[184] Yuval Rabani, Yuri Rabinovich, and A. Sinclair. A computational view of population genetics. In Proceedings of the Twenty-Seventh Annual ACM Symposium on the Theory of Computing, pages 83–92, Las
Vegas, NV, 29. May-1.Jun 1995. ACM, New York, NY. †CCA27816/97 ga95aRabani.
[185] Takeshi Furuhashi, Yujiro Miyata, and Yoshiki Uchikawa. Pseudo-bacterial genetic algorithm and finding
of fuzzy rules. In Proceedings of the Second Online Workshop on Evolutionary Computation (WEC2),
pages 65–68, Nagoya (Japan), 4.-22. March 1996. ? ga96aFuruhashi.
[186] Christine Gaspin and Thomas Schiex. Genetic algorithms for genetic mapping. In J.-K. Hao, E. Lutton,
E. Ronald, Marc Schoenauer, and D. Snyers, editors, Artificial Evolution, Third European Conference,
AE’97, volume LNCS of 1363, pages 145–156, Nˆımes (France), October 1998. Springer-Verlag Berlin
Heidelberg. * www /Springer ga98aCGaspin.
[187] L. A. Anbarasu, P. Narayanasamy, and V. Sundararajan. Multiple sequence alignment using parallel genetic
algorithms. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim, and T. Furuhashi, editors, Simulated Evolution
and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL’98, volume
LNAI of 1585, pages 130–137, Canberra (Australia), November 1999. Springer-Verlag Berlin Heidelberg.
* www /Springer ga99aLAAnbarasu.
[188] Olivia P. Judson and Daniel Haydon. The genetic code: What is it good for? an analysis of the effects of selection pressures on genetic codes. Journal of Molecular Evolution, 49(?):539–550, ? 1999.
ga99aOPJudson.
[189] Hans-Paul Schwefel. Simulation evolution¨
aren Lernprozesse. In D. P. F. M¨
oller, editor, Erwin-RieschWorkshop on Systems Analysis of Biomedical Processen, pages 17–30, Bad M¨
unster am Stein - Ebernburg
(Germany), 7.-9. April 1988. German Society for Computer Sciences (GAI) - Technical Committee for
Simulation (ASIM), Vieweg, Braunschweig. ga:Schwefel89c.
[190] Hans-Michael Voigt and Ivan Santib´
an
˜ez-Koref. Solving complex problems by selection pressure controlled
replicator networks. In ?, editor, Biomedizinische Technik und Bionik, 33. International Wiss. Koll., pages
181–184, Ilmenau (Germany), ? 1988. ? ga:Voigt88a.
Bibliography
75
[191] L. Ib´
an
˜ez, L. Ng, J. Gee, and S. Aylward. Registration patterns: The generic framework for image
registration of the Insight toolkit. In Proceedings of the 2002 IEEE International Symposium on Biomedical
Imaging, pages 345–348, ?, 7.-10. July 2000. IEEE, Piscataway, NJ. ga02aLIbanez.
[192] Xiaoyan Xu and Robert D. Dony. Differential evolution with Powell’s direction set method in medical
image registration. In Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging:
Nano to Macro, volume ?, pages 732–735, ?, ? 2004. IEEE, Piscataway, NJ. ga04aXiaoyanXu ⇒ http:
//ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1398642.
[193] Gholam Ali Rezaei Rad and Mehdi Kashanian. Extraction of the breast cancer tumor in mammograms
using genetic active contour. In Proceedings of the 2006 International Conference on Biomedical and
Pharmaceutical Engineering ICBPE, pages 30–33, ?, ? 2006. IEEE, Piscataway, NJ. ga06aGARRad.
[194] Jan Tuma, J. Matecha, and J. Adamec. Numerical study of the flow behind the end-to-side anastomosis.
In ?, editor, World Congress on Medical Physics and Biomedical Engineering 2006, volume 14 of IFMBE
Proceedings, pages 2820–2823, ?, ? 2006. Springer-Verlag. †www /Google ga06aJanTuma.
[195] Naima Kaabouch, Yi Chen, Wen-Chen Hu, Julie Anderson, Forrest Ames, and Rolf Paulson. Early detection of foot ulcers through asymmetry analysis. In Xiaoping P. Hu and Anne V. Clough, editors,
Medical Imaging 2009: Biomedical Applications in Molecular, and Fuctional Imaging, volume SPIE7262, page 72621L, ?, ? 2009. The International Society for Optical Engineering, Bellingham, WA.
ga09bNaimaKaaboucha ⇒ .
[196] Qingli Li, Jingao Liu, Yiting Wang, and Chunni Dai. Adaptive non-dominated sorting genetic algorithms
for wavelength selection of molecular hyperspectral images. In Proceedings of the 3rd International Conference on Biomedical Engineering and Informatics (BMEI), volume 1, pages 82–85, ?, ? 2010. IEEE,
Piscataway, NJ. ga10aQingliLi.
[197] Y Xin, Ping Fen, and Jichang Kan. A new Boolean logic algorithm for DNA sequence alignment. In
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on, pages 941–944,
?, 16-18 Oct 2012. IEEE. †ISI/auto ga12aYXin ⇒ .
[198] Salah Darenfed. Genetic connectionism for computer tomographic reconstructions. In Raj S. Acharya
and Dmitry B. Goldgof, editors, Biomedical Image Processing and Biomedical Visualization, volume SPIE1905, pages 987–996, ?, July 1993. The International Society for Optical Engineering. * www/SPIE Web
ga93aSDarenfed.
[199] C. D. Edirisinghe, R. S. Acharya, and C. Sibata. Optimizing radiation-therapy planning using genetic
algorithms. In N. F. Sheppard, M. Eden, and G. Kantor, editors, Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society – Engineering Advances: New
Opportunities for Biomedical Engineering, pages 1384–1385, Baltimore, MD, 3.-6. November 1994. IEEE,
New York. †P65120/95 ga94aEdirisinghe.
[200] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. In N. F.
Sheppard, M. Eden, and G. Kantor, editors, Proceedings of the 16th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society – Engineering Advances: New Opportunities for
Biomedical Engineering, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York. * CCA
66721/95 P65120/95 ga94aMatsui.
[201] Marco Colombetti. Adaptive agents: Steps to an ethology of the artificial. In F. Masulli, P. Morasso,
and A. Schenone, editors, Neural Networks in Biomedicine, page ? World Scientific, Singapore, 1994. (in
press) †Colombetti ga94bColombetti.
[202] A. Y. Alkhalifa, M. J. Niccolai, and W. J. Nowack. Application of the genetic algorithm to nutritional
counseling. In A. D.Puckett J. D. Bumgardner, editor, Proceedings of the 1997 16th Southern Biomedical
Engineering Conference, Biloxi, MS, 4.-6. April 1997. IEEE, New York, NY. †P74944 ga97aAlkhalif.
[203] Hang Zhang, Sailing He, and Wei Sun. Applications of genetic algorithms to an inverse problem of light
propagation in tissues: reconstruction of the location and size of a tumor in a tissue volume. In Qingming
Luo, Britton Chance, Lihong V. Wang, and Steven L. Jacques, editors, 1999 International Conference
on Biomedical Optics, volume SPIE-3863, pages 49–54, ?, September 1999. The International Society for
Optical Engineering. * www/SPIE Web ga99aHZhang.
[204] J. Michael Fitzpatrick, David R. Pickens, III, Venkat R. Mandava, and John J. Grefenstette. The reduction
of motion artefacts in digital subtraction angiography by geometrical image transformation. In ?, editor,
Medical Imaging II, volume SPIE-?, page ?, Newport Beach, CA, January 31.- February 5. 1988. The
International Society for Optical Engineering. †News /Park ga:Grefenstette88d.
76
Genetic algorithms in medicine
[205] Joseph Y. Lo, Walker H. Land, and Clayton T. Morrison. Evolutionary programming technique for reducing
complexity of artificial neural networks for beast cancer diagnosis. In Kenneth M. Hanson, editor, Medical
Imaging 2000: Image Processing, volume SPIE-3979, pages 153–158, ?, June 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aJYLo.
[206] Matthew A. Kupinski, Mark A. Anastasio, and Maryellen L. Giger. Multiobjective genetic optimization of
diagnostic classifiers used in the computerized detection of mass lesions in mammography. In Kenneth M.
Hanson, editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 40–45, ?, June 2000.
The International Society for Optical Engineering. * www/SPIE Web ga00aMAKupinski.
[207] Rouston Goodacre and Douglas B. Kell. Evolutionary computing for the characterisation and qualification of microbial systems from hyperspectral data. In ?, editor, Proceedings of the Workshop on FTIR
Spectroscopy in Microbiological and Medical Diagnostic, pages –, Berlin, 19.-20. October 2000. Robert
Koch-Institute. ga00aRGoodacre ⇒ midas.rki.de/workshop/lecture2000/goodacre.pdf.
[208] Faramarz Valafar. Pattern recognition techniques in microarray data analysis. In Faramarz Valafar, editor,
Techniques in Bioinformatics and Medical Informatics, volume 980 of Annals of the New York Academy of
Sciences, pages 41–64. The New York Academy of Sciences, New York, 2002. (Proceedings of METMBS)
ga02aFValafar.
[209] I. Zwir, Romero Zaliz, and E. H. Ruspini. Automated biological sequence description by genetic multiobjective generalized clustering. In Faramarz Valafar, editor, Techniques in Bioinformatics and Medical
Informatics, volume 980 of Annals of the New York Academy of Sciences, pages 65–82. The New York
Academy of Sciences, New York, 2002. (Proceedings of METMBS) ga02aIZwir.
[210] J. Est´evez, S. Alay´
on, L. Moreno, R. Aguilar, and J. Sigut. Cytological breast fine needle aspirate images
analysis with a genetic fuzzy finite state machine. In ?, editor, Proceedings of the 15th IEEE International
Symposium on Computer-Based Medical Systems, pages 21–26, ?, 4.-7. June 2002. IEEE Computer Society,
Piscataway, NJ. ga02aJEstevez.
[211] Jiri Klema, Jiri Kubalik, and Jiri Palous. Optimized model tuning in medical systems. In ?, editor,
Proceedings of the 15th IEEE International Symposium on Computer-Based Medical Systems, pages 59–64,
?, 4.-7. June 2002. IEEE Computer Society, Piscataway, NJ. ga02aJKlema.
[212] Lucia Ballerini and L. Bocchi. Segmentation of liver images by texture and genetic snakes. In ?, editor,
Proceedings of the EMBEC’02, European Medical and Biological Engineering Conference, pages 1096–1097,
Vienna (Austria), 4.-8. December 2002. ? †www /Ballerini ga02aLBallerini.
[213] E. Zacharia and D. Maroulis. An usupervised and fully-automated image analysis method for cDNA microarrays. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based Medical
Systems, pages 389–396, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aEZacharia.
[214] Mehmet Kaya and Melikali G¨
u¸c. A novel approach to extract structured motifs by multi-objective genetic
algorithm. In Seppo Puuronen, Mykola Pechhenizkiy, Alexey Tsymbal, and Dah-Jye Lee, editors, Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, pages 278–283,
Jyv¨
askyl¨
a (Finland), 17.-19. June 2008. IEEE Computer Society, Piscataway, NJ. ga08aMehmetKaya.
[215] I. Ciuca, J. A. Ware, and A. Cristea. Removing irrelevant features in neural network classification using
evolutionary computations. In Proceedings of the Medical Informatics Europe’97, volume 1, pages 391–395,
Thessaloniki, Greece, ? 1997. IOS Press, Amsterdam. †CCA84535/98 ga97aICiuca.
[216] A. C. W. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by genetic algorithm. In
Proceedings of the 15th International Conference, Information Processing in Medical Imaging, pages 1–14,
Poultney, VT, USA, 9.-13. June 1997. Springer-Verlag, Berlin (Germany). †CCA74145/97 ga97aKotcheff.
[217] Ding-Horng Chen and Yung-Nien Sun. Self-learning contour finding algorithm for echocardiac analysis. In
Kenneth M. Hanson, editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 971–981,
?, June 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aD-HChen.
[218] Heng-Da Cheng and Yen-Hung Chen. Novel fuzzy entropy approach to thresholding and enhancement. In
Kenneth M. Hanson, editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 991–1002,
?, June 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aH-DCheng.
[219] P. Kokol, V. Podgorelec, and I. Malcic. Diagnostic process optimisation with evolutionary programming.
In Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems, pages 62–67, Lubbock,
TX (USA), 12.-14. June 1998. IEEE Computer Society Press, Los Alamitos , CA. ga98aPKokol.
[220] Volker Metzler, Ralf Vandenhouten, Joerg Krone, and Reinhard Grebe. Unsupervised image segmentation
by stochastic reconstruction. In Kenneth M. Hanson, editor, Medical Imaging 1998: Image Processing,
volume SPIE-3338, pages 575–586, ?, June 1998. The International Society for Optical Engineering. *
www/SPIE Web ga98aVMetzler.
Bibliography
77
[221] N. Laskaris, A. Bezerianos, S. Fotopoulos, and P. Papathanasopoulos. A genetic algorithm for the multidimensional filtering process of visual evoked potential signals. In Proceeding of the 18th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society, volume 4, pages 1553–1554, Amsterdam, Netherlands, 31. oct- 3. nov ? 1996. IEEE, New York, NY. †CCA73026/98 ga96aLaskaris.
[222] Russell C. Eberhart. Overview of computational intelligence [and biomedical engineering applications]. In
Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology
Society, volume 3, pages 1125–1129, Hong Kong, China, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.
†CCA77388/99 ga98aEberhart.
[223] Guillermo Montilla, Christian Roux, Victor Barrios, V. Torrealba, Naykiavick Rangel, Vytautas Subacius,
L. Miliani, and C. Vasquez. Model-based, knowledge-based epicardial boundary detector. In Proceedings
of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
volume 1, pages 205–208, San Diego, CA, 28.-31. October 1993. IEEE. †EI M077812/94 ga:Barrios93a.
[224] Guillermo Montilla, Victor Barrios, Vytautas Subacius, and Naykiavick Rangel. Model-based epicardial
boundary detection using genetic algorithms. In Proceedings of the 15th Annual International Conference
of the IEEE Engineering in Medicine and Biology Society, volume 1, pages 226–227, San Diego, CA,
28.-31. October 1993. IEEE. †EI M074142/94 ga:Barrios93b.
[225] Venkat R. Mandava, J. Michael Fitzpatrick, and David R. Pickens, III. Adaptive search space scaling
in digital image registration. IEEE Transactions on Medical Imaging, 8(3):251–262, September 1989.
ga:Fitzpatrick89a.
[226] A. Hill and C. J. Taylor. Model-based image interpretation using genetic algorithms. Image and Vision
Computing, 10(5):295–300, June 1992. ga:Hill92b.
[227] Jean-Jos´e Jacq and Christian Roux. Automatic registration of 3D images using a simple genetic algorithm
with a stochastic performance function. In Proceedings of the 15th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society, volume 1, pages 126–127, San Diego, CA, 28.31. October 1993. IEEE. †EI M080364/94 ga:Jacq93b.
[228] Charles C. Peck, Atam P. Dhawan, and Claudia M. Meyer. Genetic algorithm based input selection for a
neural network function approximator with applications to SSME monitoring. In 1993 IEEE International
Conference on Neural Networks, volume II, pages 1115–1122, San Francisco, CA, 28. March - 1. April
1993. IEEE. ga:Peck93a.
[229] Paul S. Lewis and John C. Mosher. Genetic algorithms for minimal source reconstructions. In Avtar
Singh, editor, Proceedings of the Twenty-Seventh Asilomar Conference on Signals, Systems & Computers,
volume 1, pages 335–338, Pacific Grove, CA, 1.-3. November 1993. IEEE Computer Society Press, Los
Alamitos, CA. ga:PSLewis93a.
[230] Satish Kumar Tadikonda, Milan Sonka, and Steve M. Collins. Region merging in medical image segmentation and interpretation. In Proceedings of the 15th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 1, pages 158–159, San Diego, CA, 28.-31. October
1993. IEEE. †EI M080370/94 ga:SMCollins93b.
[231] Riccardo Poli and G. Valli. Neural inhabitants of MR and echo images segment cardiac structures. In Proceedings of the 1993 Conference on Computers in Cardiology, pages 193–196, London (UK), 5.-8. September
1993. IEEE Computer Society Press, Los Alamitos, CA. †EI M081918/94 ga:Valli93a.
[232] Aimin Wang, Lansun Shen, and Zhongxu Zhao. Color tongue image segmentation using fuzzy Kohonen
networks and genetic algorithms. In Nasser M. Nasrabadi and Aggelos K. Katsaggelos, editors, Applications
of Artificial Neural Networks in Image Processing V, volume SPIE-3962, pages 182–190, ?, April 2000. The
International Society for Optical Engineering. * www/SPIE Web ga00aAWang.
[233] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Texture feature extraction
methods for microcalcification classification in mammograms. In Kenneth M. Hanson, editor, Medical
Imaging 2000: Image Processing, volume SPIE-3979, pages 982–989, ?, June 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aHSoltanian-Zadeh.
[234] H. Treugut, M. Koppen, B. Nickolay, R. Fuss, and P. Schmid. [Kirlian photography: accidental or personspecific pattern]. Forschung Komplementarmedizin Klass Naturheilkd, 7(1):12–16, ? 2000. * PubMed
ga00aHTreugut.
[235] Joerg Bredno, Thomas M. Lehmann, and Klaus Spitzer. Automatic parameter setting for balloon models.
In Kenneth M. Hanson, editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 1185–
1194, ?, June 2000. The International Society for Optical Engineering. * www/SPIE Web ga00aJBrendo.
78
Genetic algorithms in medicine
[236] Jonathan Charles Prather. Exploratory data analysis to detect preterm risk factors. PhD thesis, Duke
University, 2000. * www /UMI ga00aJCPrather.
[237] M. J. Zelefsky, G. Cohen, K. L. Zakian, J. Dyke, J. A. Koutcher, H. Hricak, L. Schwartz, and M. Zaider.
Intraoperative conformal optimization for transperineal prostate implantation using magnetic resonance
spectroscopic imaging. Cancer J. Sci. Am., 6(4):249–255, July-August 2000.
* PubMed11038145
ga00aMJZelefsky.
[238] Man Leung Wong and Kwong Sak Leung. Data Mining Using Grammar Based Genetic Programming and
Applications, volume 3 of Genetic Programming. Kluwer Academic Publishers, Boston, MA, 2000. †Leung
lop ga00aMLWong.
[239] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and system
for segmenting desired regions in digital mammograms, 2000. (U. S. patent no. 6,091,841. Issued July 18
2000) * fi.espacenet.com ga00aPRBroussard.
[240] Sushmita Mitra and Yoichi Hayashi. Neuro-fuzzy rule generation: survey in soft computing framework.
IEEE Transactions on Neural Networks, 11(3):748–768, May 2000. ga00aSushmitaMitra.
[241] Tsui-Ying Law and Pheng-Ann Heng. Automated extraction of bronchus from 3D CT images of lung
based on genetic algorithm and 3D region growing. In Kenneth M. Hanson, editor, Medical Imaging 2000:
Image Processing, volume SPIE-3979, pages 906–916, ?, June 2000. The International Society for Optical
Engineering. * www/SPIE Web ga00aT-YLaw.
[242] Walker H. Land, Timothy D. Masters, and Joseph Y. Lo. Applications of GRNN oracle to the intelligent
combination of several breast cancer benign/malignant predictive paradigms. In Kenneth M. Hanson,
editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 77–85, ?, June 2000. The
International Society for Optical Engineering. * www/SPIE Web ga00aWHLand.
[243] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and system for
combining automated detections from digital mammograms with observed detections of a human interpreter, 2000. (U. S. patent no. 6,115,488. Issued September 5 2000) * fi.espacenet.com ga00bRPBroussard.
[244] Man Leung Wong, W. Lam, Kwong Sak Leung, P. S. Ngan, and J. C. Y. Cheng. Discovering knowledge from
medical databases using evolutionary algorithms. IEEE Engineering in Medicine and Biology Magazine,
19(4):45–55, July/August 2000. †Leung lop ga00cMLWong.
[245] Randy P. Broussard, Steven K. Rogers, and Thomas F. Rathbun. Gabor filtering for improved microcalcification detection in digital mammograms, 2000. (U. S. patent no. 6,137,898. Issued October 24 2000) *
fi.espacenet.com ga00cRPBroussard.
[246] Salvatore Caorsi, Andrea Massa, and Matteo Pastorino. Numerical assessment concerning a focused microwave diagnostic method for medical applications. IEEE Transactions on Microwave Theory and Techniques, 48(11):1815–1830, November 2000. ga00cSCaorsi.
[247] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and system
for segmentation and detection of microcalcifications from digital mammograms, 2000. (U. S. patent no.
6,167,146. Issued December 26 2000) * fi.espacenet.com ga00dRPBroussard.
[248] Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical image reconstruction using a multi-objective genetic local search algorithm. International Journal of Computer Mathematics, 74(?):301–314, ? 2000.
ga00XiaodongLi.
[249] A. Bavilacqua, R. Campanini, and N. Lanconelli. Optimization of a distributed genetic algorithm on a
cluster of workstations for the detection of microcalcification. International Journal of Modern Physics C,
12(1):55–70, January 2001. †INSPEC 6940976 ga01aABevilacqua.
ˇ
[250] Bogdan Filipiˇc and Janez Strancar.
A hybrid evolutionary algorithm to facilitate characterization of
biological systems with electron paramagnetic resonance. In Matouˇsek Radek and Oˇsmera Pavel, editors,
7th International Conference on Soft Computing, Mendel 2001, pages 122–130, Brno, Czech Republic, 6.8.June 2001. Brno University of Technology. ga01aBFilipic.
[251] Ching-Fen Jiang. Autosegmentation of ultrasonic images by the genetic algorithm. In Milan Sonka and
Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing, volume SPIE-4322, pages 151–157,
?, July 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aC-FJiang.
Bibliography
79
[252] Chi Kin Chow, Hung Tat Tsui, Tong Lee, and Tze Kin Lau. Medical image registration and model
construction using genetic algorithm. In Proceedings of the International Workshop on Medical Imaging
and Augmented Reality, pages 174–178, ?, 10.-12. June 2001. IEEE, Piscataway, NJ. ga01aChiKinChow.
[253] G. J. Kacprzynski, M. J. Roemer, A. J. Hess, and K. R. Bladen. Extending FMECA-health management design optimization for aerospace applications. In Aerospace Conference 2001, IEEE Proceedings,
volume 6, pages 3105–3112, Big Sky, MT, 10.-17. March 2001. IEEE, Piscataway, NJ. * www /IEEE
ga01aGJKacprzynski.
[254] George K. Matsopoulos, Konstantinos K. Delibasis, and Nicolaos A. Mouravliansky. Ch. 19: Medical image
registration and fusion techniques: A review. In Stergios Stergiopoulos, editor, Advanced Signal Processing
Handbook, page ? CRC Press LLC, Boca Raton, FL, 2001. ga01aGKMatsopoulos.
[255] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Shape-based and texturebased feature extraction for classification of microcalfications in mammograms. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing, volume SPIE-4322, pages 301–310, ?,
July 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aHSoltanian-Zadeh.
[256] I. Aizenberg, N. Aizenberg, J. Hiltner, C. Moraga, and E. Meyer zu Bexten. Cellular neural networks
and computational intelligence in medical image processing. Image and Vision Computing, 19(4):177–183,
March 2001. ga01aIAizenberg.
[257] Jorma Laurikkala. Knowledge Discovery for Female Urinary Incontinence Expert Systems. PhD thesis,
University of Tampere, Department of Computer and Information Sciences, 2001. ga01aJormaLaurikkala.
[258] Markus Brameier and Wolfgang Banzhaf. A comparison of linear genetic programming and neural networks
in medical data mining. IEEE Transactions on Evolutionary Computation, 5(1):17–26, February 2001.
ga01aMBrameier.
[259] Max Mignotte, Jean Meunier, and Jean-Claude Tardif. Endocardial boundary Estimation and tracking in
echocardiographic images using deformable template and Markov fields. Pattern Analysis & Applications,
4(4):256–271, ? 2001. * www /Springer ga01aMMignotte.
[260] Pilar Castellano, Pedro L. de Angel, and Veronica Medina. Deformation of NMR images using a local linear
transformation. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing,
volume SPIE-4322, pages 909–916, ?, July 2001. The International Society for Optical Engineering. *
www/SPIE Web ga01aPCastellanos.
[261] P. Meesad and G. G. Yen. A hybrid intelligent system for medical diagnosis. In Proceedings of the
International Joint Conference on Neural Networks (IJCNN’01), volume 4, pages 2558–2563, Washington,
DC, 15.-19. July 2001. IEEE, Piscataway, NJ. * www /IEEE ga01aPMeesad.
[262] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosentengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas P. Rathbun. Optimal parameter
selection fir the detection of clustered microcalcification in digital mammograms, 2001. (U. S. patent no.
6,205,236. Issued March 20 2001) * fi.espacenet.com ga01aRPBroussard.
[263] Walker H. Land, Timothy D. Masters, Joseph Y. Lo, and Dan McKee. Application of adaptive boosting
to EP-derived multilayer feed-forward neural networks MLFN to improve benign/malignant breast cancer
classification. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing,
volume SPIE-4322, pages 1717–1724, ?, July 2001. The International Society for Optical Engineering. *
www/SPIE Web ga01aWHLand.
[264] Yongbum Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki. Automated detection of pulmonary nodules
in helical CT images based on an improved template-matching technique. IEEE Transactions on Medical
Imaging, 20(7):595–604, July 2001. †www /IEEE ga01aYongbumLee.
[265] Randy P. Broussard, John E. Resenstengel, Edward M. Ochoa, Steven Rogers, and Thomas F. Rathbun.
Joint optimization of parameters for the detection of clustered microcalcifications in digital mammograms,
2001. (U. S. patent no. 2001008562. Issued July 19 2001) * fi.espacenet.com ga01bRPBroussard.
[266] Alain Pitiot, Arthur W. Toga, and Paul M. Thompson. Adaptive elastic segmentation of brain MRI via
shape-model-guided evolutionary programming. IEEE Transactions on Medical Imaging, 21(8):910–923,
August 2002. ga02aAlainPitiot.
[267] Christopher W. Connor, Greg T. Clement, and Kullervo Hynynen. A unified model for the speed of sound
in cranial bone based on genetic algorithm optimization. Physics in Medicine and Biology, 47(?):3925–3944,
? 2002. * www /IOP ga02aCWConnor.
80
Genetic algorithms in medicine
[268] G. C. Kagadis, Konstantinos K. Delibasis, George K. Matsopoulos, Nicolaos A. Mouravliansky, P. A.
Asvestas, and G. C. Nikiforidis. A comparative study of surface- and volume-based techniques for the
automatic registration between CT and SPECT brain images. Medical Physics, 29(2):201–213, February
2002. * ISI ga02aGCKagadis.
[269] Georges Dumont, Christofer K¨
uhl, and Philippe Bidaud. Simulating and optimizing active endoscope
prototypes. In Actes de ISR 2002: International Symposium on Robot-based Automation with Industrial
IT and Service Robotics, page ?, Stockholm (Sweden), ? 2002. ? ga02aGeorgesDumont.
[270] Peter Knoll, Bob Kenny, Siroos Mirzaei, Karl Koriska, Horst Khn, and Martin Neumann. A (µ + λ) evolutionary algorithm for reconstruction of SPECT data. IEEE Transaction on Evolutionary Computation,
6(6):533–541, December 2002. ga02aPeterKnoll.
[271] Renjie He and Ponnada A. Narayana. Global optimization of mutual information: application to threedimensional retrospective registration of magnetic resonance images. Computerized Medical Imaging and
Graphics, 26(?):277–292, ? 2002. ga02aRenjieHe.
[272] Tianzi Jiang and Yong Fan. Parallel genetic algorithm for 3D medical image analysis. In Proceedings of
the 2002 IEEE International Conference on Image Processing, volume 6, pages –, ?, 6.-9. October 2002.
IEEE, Piscataway, NJ. ga02aTianziJiang.
[273] Tim McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable organisms for automatic medical image analysis. Medical Image Analysis, 6(3):251–266, September 2002.
ga02aTimMcInerney.
[274] T. S. Douglas, S. E. Solomonidis, W. A. Sandham, and W. D. Spence. Ultrasound image matching
using genetic algorithms. Medical & Biological Engineering & Computing, 40(2):168–172, March 2002.
ga02aTSDouglas.
[275] Yong Fan, Tianzi Jiang, and David J. Evans. Volumetric segmentation of brain images using parallel
genetic algorithm. IEEE Transactions on Medical Imaging, 21(8):904–909, August 2002. ga02aYongFan ⇒
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=712135&isnumber=15439.
¨
[276] Z¨
umray Dokur, Mehmet Nadir Kurnaz, and Tamer Olmez.
Segmentation of ultrasound images by using quantizer neural network. In ?, editor, Proceedings of the 15th IEEE International Symposium on
Computer-Based Medical Systems, pages 257–261, ?, 4.-7. June 2002. IEEE Computer Society, Piscataway,
NJ. ga02aZDokur.
[277] Yong Fan, Tianzi Jiang, and David J. Evans. Medical image registration using parallel genetic algorithms.
In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of Evolutionary
Computing, Proceedings, volume 2279 of Lecture Notes in Computer Science, pages 304–314, ?, ? 2002.
Springer-Verlag, Heidelberg. †www /ISI ga02bYongFan.
[278] Ayman El-Baz, Aly A. Farag, Robert Falk, and Renato La Rocca. A unified approach for detection,
visualization, and identification of lung abnormalities in chest spiral CT scans. In ?, editor, Proceedings of
the 17th International Congress and Exhibition, Computer Assisted Radiology and Surgery (CARS 2003),
International Congress Series, pages 998–1004, ?, ? 2003. Elsevier Science B.V. * www /ScienceDirect
ga03aAymanEl-Baz.
[279] D. Yau and S. Grozier. A genetic algorithm/method of moments approach to the optimization of an RF coil
for MRI applications — theoretical considerations. Progress in Electromagnetics Research, 39(?):177–192,
? 2003. ga03aDYau ⇒ ceta.mit.edu/pier/pier.php?paper=0206262.
[280] Ela Claridge and Steve J. Preece. An inverse method for the recovery of tissue parameter from color
images. In C. Taylor and J. A. Noble, editors, Information Processing in Medical Imaging (IPMI), volume 2732 of Lecture Notes in Computer Science, pages 306–317, ?, ? 2003. Springer-Verlag, Heidelberg.
ga03aElaClaridge.
[281] Jussi Tohka. Global Optimization-Based Deformable Meshes for Surface Extraction from Medical Images.
PhD thesis, Tampere University of Technology, 2003. ga03aJussiTohka ⇒ http://dspace.cc.tut.fi/
dpub/bitstream/handle/123456789/24/tohka.pdf?sequence=1.
[282] M. I. Quintana, Riccardo Poli, and Ela Claridge. On two approaches to image processing algorithm
design for binary images using GP. In S. Cagnoni etal, editor, Applications of Evolutionary Computation,
Proceedings of the EvoIASP, volume 2611 of Lecture Notes in Computer Science, pages 426–435, ?, ? 2003.
Springer-Verlag, Heidelberg. †www /Claridge ga03aMIQuintana.
[283] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images. In
R. E. Ellis and T. M. Peters, editors, Proceedings of the 6th International Conference on Medical Image
Computing and Computer-Assisted Intervention (MICCAI), volume 2878 of Lecture Notes in Computer
Science, pages 655–662, ?, ? 2003. Springer-Verlag, Heidelberg. †www /Claridge ga03aMRobers.
Bibliography
81
[284] N. P. Castellanos, P. L. Del Angel, and V. Medina. A hierarchical nonrigid image registration technique
based on local deformations. In Proceedings of the 25th Annual International Conference of the IEEE
EMBS, volume 1, pages 595–598, ?, 17.-21. September 2003. IEEE, Piscataway, NJ. ga03aNPCastellanos.
[285] Peter Knoll and S. Mirzaei. Validation of a parallel genetic algorithm for image reconstruction from
projections. Journal of Parallel and Distributed Computing, 63(?):356–359, ? 2003. ga03aPeterKnoll.
[286] Syoji Kobashi, Katsuya Kondo, and Yutaka Hata. Automated finding of the Willis ring in MR angiography
images using fuzzy base. In Proceedings of the 33rd International Symposium on Multiple-Valued Logic,
ISMVL, page 83, ?, ? 2003. IEEE Computer Society, Washington DC. * ACM ga03aSyojiKobashi.
[287] Tor D. Wager and Thomas E. Nicholis. Optimization of experimental design in fMRI: a general framework
using a genetic algorithm. NeuroImage, 18(?):293–309, ? 2003. ga03aTDWager.
[288] Yann Landrin-Schweitzer, Pierre Collet, and Evelyne Lutton. Interactive GP for data retrieval in medical
databases. In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto
Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 of
Lecture Notes in Computer Science, pages 93–106, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin.
ga03aYLandrin-Schweitzer.
[289] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images.
In D. Barber, editor, Medical Image Understanding and Analysis, pages 185–188, ?, ? 2003. ? †www
/Claridge ga03bMRobers.
[290] B. Raman, E. S. Bursell, M. Wilson, G. Zamora, I. Benche, S. C. Nemeth, and P. Soliz. The effects
of spatial resolution on an automated diabetic retinopathy screening system’s performance in detecting
microaneurysms for diabetic retinopathy. In Proceedings of the 17th IEEE Symposium on Computer-Based
Medical Systems CBMS 2004, pages 128–133, ?, 24.-25. June 2004. IEEE, Piscataway, NJ. ga04aBRaman.
[291] Brian M. Dale, Jonathan S. Lewin, and Jeffrey L. Duerk. Optimal design of k-space trajectories using a
multi-objective genetic algorithm. Magnetic Resonance in Medicine, 52(4):831–841, ? 2004. (Proceedings
of the International Society for Magnetic Resonance in Medicine) ga04aBrianMDale ⇒ http://www3.
interscience.wiley.com/journal/109629896/abstract.
[292] Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, and Masaki Ohkubo. Medical image classification using
genetic-algorithm based fuzzy-logic approach. Journal of Electronic Imaging, 13(4):780–788, October 2004.
* www /Google ga04aDu-YihTsai.
[293] Lucia Ballerini and L. Franz´en. Genetic optimization of morhological filters with application in breast
cancer detection. In Raidl et al, editor, Applications of Evolutionary Computing, volume 3005 of
LNCS, pages 250–259, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www /Ballerini
ga04aLBallerini.
[294] V. Bevilacqua, G. Mastronardi, A. Colaninno, and A. D’Addabbo. Retina images processing using genetic
algorithm and maximum likelihood method. In S. Sahn, editor, Advances in Computer Science and Technology ACST 2004, volume 431, page ?, St. Thomas, US Virgin Islands, 22.-24. November 2004. ACTA
Press. * www /Google ga04aVBevilacqua.
[295] Brian M. Dale. Optimal Design of MR Image Acquisition Techniques. PhD thesis, Case Western Reserve
University, Department of Biomedical Engineering, 2004. ga04bBrianMDale ⇒ http://etd.ohiolink.
edu/view.cgi?acc%5Fnum=case1081556784.
[296] Lucia Ballerini, L. Bocchi, and C. B. Johansson. Image segmentation by a genetic fuzzy c-means algorithm
using color and spatial information. In Raidl et al, editor, Applications of Evolutionary Computing, volume
3005 of LNCS, pages 260–269, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www
/Ballerini ga04bLBallerini.
[297] Christopher Alan Flask. Rapid Dixon Acquisitions for Water/Lipid Separation in MRI. PhD thesis, Case
Western Reserve University, Department of Biomedical Engineering, 2005. * www /Google ga05aCAFlask
⇒ http://etd.ohiolink.edu/send-pdf.cgi/Flask%20Christopher%20Alan.pdf?case1100631509.
[298] George Karkavitsas and Maria Rangoussi. Object localization in medical images using genetic algorithms.
World Academy of Science, Engineering and Technology, 2(?):6–9, ? 2005. ga05aGKarkavitsas.
[299] Hongying Zhang, Xiaozhou Zhou, Jizhou Sun, and Jiawan Zhang. A novel medical image registration
method based on mutual information and genetic algorithm. In Proceedings of the 2005 International
Conference on Computer Graphics, Imaging and Vision: New Trends (CGIV’05), pages 221–226, ?, 26.29. July 2005. IEEE Computer Society, Piscataway, NJ. ga05aHongyingZhang.
82
Genetic algorithms in medicine
[300] Jiann-Der Lee, Jau-Hua Huang, Chung-Hsien Huang, and Li-Chang Liu. An adaptive-tabu GA for registration of CT and surface laser scan. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology
27th Annual Conference, pages 3467–3470, Shanghai (China), 17.-18. January 2005. IEEE, Piscataway, NJ.
ga05aJiann-DerLee.
[301] Smadar Gefen, Louise Bertrand, Nahum Kiryati, and Jonathan Nissanov. Localization of sections within
the brain via 2D to 3D image registration. In Proceedings of the 2005 IEEE International Conference
on Acoustics, Speech, and Signal Processing, volume 2, pages 733–736, ?, 18.-23. March 2005. IEEE,
Piscataway, NJ. ga05aSGefen.
[302] Yingying Yao, Yuotong Fang, Chang Seop Koh, and Guangzheng Ni. A new design method for completely
open architecture permanent magnet for MRI. IEEE Transactions on Magnetics, 41(5):1504–1507, May
2005. ga05aYingyingYao ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01430895.
[303] Yongming Zhao, Su Zhang, and Yazhu Chen. Non-rigid registration algorithm based on modally controlled free form deformation. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th
Annual Conference, pages 3237–3240, Shanghai (China), 1.-4. September 2005. IEEE, Piscataway, NJ.
ga05aYongmingZhao.
[304] Oscar Cord´
on, Sergio Damas, and Jos´e Santamar´ıa. A fast and accurate approach for 3D image registration
using the scatter search evolutionary algorithm. Pattern Recognition Letters, 27(?):1191–1200, ? 2006.
ga06a0scarCordon.
[305] A. Mishra, P. K. Dutta, and M. K. Ghost. Fuzzy shape based motion evaluation of left ventricle using genetic algorithm. Image and Vision Computing, 24(?):436–446, ? 2006. ga06aAMishra
⇒
http://www.sciencedirect.com/science? ob=ArticleURL& udi=B6V09-4JRKCVR-1& user=
8758044& coverDate=05%2F01%2F2006& rdoc=1& fmt=high& orig=article& cdi=5641& sort=v&
docanchor=&view=c& ct=5469& acct=C000109213& version=1& urlVersion=0& userid=8758044&md5=
3f417f3380982cb35e17be7f9179c343.
[306] Chris McIntosh and Ghassan Hamarneh. Genetic algorithm driven statistically deformed models for medical image segmentation. In Proceedings of the GECCO’06, pages –, Seattle, WA, 8.-12. July 2006. ACM,
New York. ga06aChrisMcIntosh.
[307] Cui Lin, Shiyong Lu, Xuwei Liang, and Jing Hua. GCA: A coclustering algorithm for thalamo-corticothalamic connectivity analysis. In Proceedings of the Sixth IEEE International Conference on Data Mining
- Workshops (ICDMW’06), volume ?, page ?, ?, ? 2006. IEEE, Piscataway, NJ. ga06aCuiLin.
[308] D. Abraham Chandy and V. Vijaya Kumari. Genetic algorithm based location of optic disc in retinal
images. Academic Open Internet Journal, 17(?):?, ? 2006. ga06aDAChandy.
[309] Gabriel Ma nana, Eduardo Romero, and Fabio Gonz´
alez. A grid computing approach to subtraction
radiography. In Proceedings of the 2006 IEEE International Conference on Image Processing, pages 3325–
3328, ?, 8.-11. October 2006. IEEE, Piscataway, NJ. ga06aGManana.
[310] J. C. Z. Adjemian, E. H: Girvetz, L. Beckett, and J. E. Foley. Analysis of genetic algorithm for rule-set
production (GARP) modeling approach for predicting distributions of fleas implicated as vectors of plague,
yersinia pestis, in California. Journal of Medical Entomology, 43(1):93–103, January 2006. * www /Google
ga06aJCZAdjemian.
[311] Johann Dr´eo, Jean-Claude Nunes, and Patrick Siarry.
Robust rigid registration of retinal angiograms through optimization. Computerized Medical Imaging and Graphics, 30(8):453–463, ? 2006.
ga06aJohannDreo.
[312] Karl G. Baum, Maria Helguera, and Andrzej Krol. Genetic algorithm automated generation of multivariate
color tables for visualization of multimodal medical data sets. In 14th Color Imaging Conference Final
Program and Proceedings, pages 138–143, ?, ? 2006. ga06aKGBaum.
[313] Mohamed A. Alolfe, Abou-Bakar M. Youssef, and Yasser M. Kadah. Optimal radiofrequency pulse design
for magnetic resonance imaging using genetic algorithm. In ?, editor, Proceedings of the 23rd National Radio
Science Conference (NRSC 2006), pages K2 1–11, Menoufiya (Egypt), 14.-16. March 2006. Menoufiya
University. ga06aMAAlolfe.
[314] Manuel Benedetti, Massimo Donelli, Anna Martini, Matteo Pastorino, Andrea Rosani, and Andrea Massa.
An innovative microwave-imaging technique for nondestructive evaluation: applications to civil structures
monitoring and biological bodies inspection. IEEE Transactions on Instrumentation and Measurement,
55(6):1878–1884, December 2006. ga06aMBenedetti.
[315] Payel Ghosh and Melanie Mitchell. Segmentation of medical images using a genetic algorithm. In Proceedings of the GECCO’06, pages 1171–1178, Seattle, WA, 8.-12. July 2006. ACM, New York. ga06aPGhosh.
Bibliography
83
[316] Ronen Tal-Botzer, Nir Hadaya, Rachel S. Levy-Drummer, Ariel Feiglin, David H. Shalom, and Avidan U.
Neumann. Biomathematics oriented machine learning system for reconstructing temporal profiles of biological or clinical markers. In ?, editor, Proceedings of the 19th IEEE International Symposium on
Computer-Based Medical Systems, pages 563–568, ?, ? 2006. IEEE Computer Society, Piscataway, NJ.
ga06aRTal-Botzer.
[317] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Fitness function evaluation for image reconstruction using binary genetic algorithm for parallel ray transmission tomography. In Proceedings of
the 2nd International Conference on Emerging Technologies, IEEE-ICET 2006, pages 196–201, Peshawar
(Pakistan), 13.-14. November 2006. IEEE, Piscataway, NJ. ga06aSAQureshi.
[318] Shutao Li, Jinglin Peng, James T. Kwok, and Jing Zhang. Multimodal registration using the discrete
wavelet frame transform. In Proceedings of the 18th International Conference on Pattern Recognition
(ICPR’06), volume 3, pages 877–880, ?, ? 2006. IEEE, Piscataway, NJ. ga06aShutaoLi.
[319] Wen Peng, Ruofeng Tong, Guipeng Qian, and Jinxiang Dong. A local registration approach of medical
images with niche genetic algorithm. In Proceedings of the 10th International Conference on Computer
Supported Cooperative Work in Design (CSCWD’06), pages 1–6, ?, 3.-5. May 2006. IEEE, Piscataway, NJ.
ga06aWenPeng.
[320] Yan Guozheng, Yang Banghua, Chen Shuo, and Yan Rongguo. Pattern recognition using hybrid optimization for a robot controlled by human thoughts. In ?, editor, Proceedings of the 19th IEEE International
Symposium on Computer-Based Medical Systems, pages 396–400, ?, ? 2006. IEEE Computer Society,
Piscataway, NJ. ga06aYanGuozheng.
[321] Oscar Cord´
on, Sergio Damas, and Jos´e Santamar´ıa. Feature-based image registration by means of the
CHC evolutionary algorithm. Image and Vision Computing, 24(?):525–533, ? 2006. ga06b0scarCordon.
[322] Oscar Gord´
on and Sergio Damas. Image registration with iterated local search. Journal of Heuristics,
12(1-2):73–94, January 2006. ga06c0Cordon.
[323] Ashton Peters. Digital Image Elasto-Tomography: Mechanical Property Reconstruction from Surface
Measured Displacement Data. PhD thesis, University of Canterbury, Mechanical Engineering, 2007.
ga07aAshtonPeters.
[324] Chang Yao, Houjin Chen, Jiangbo Yu, and Jupeng Li. Application of distributed genetic algorithm based
on migration strategy in image segmentation. In Proceedings of the Third International Conference on
Natural Computation (ICNC 2007), volume ?, page ?, ?, ? 2007. IEEE, Piscataway, NJ. ga07aChangYao.
[325] C. Li, R. Liengsawangwong, H. Choi, and R. Cheung. Using a priori structural information from magnetic
resonance imaging to investigate the feasibility of prostate diffuse optical tomography and spectroscopy:
a simulation study. Medical Physics, 34(1):266–274, ? 2007. †Google scholar ga07aCLi ⇒ http:
//ukpmc.ac.uk/abstract/MED/17278512.
[326] Jamshid Dehmeshki, X. Ye, X. Lin, M. C. Valdivieso, and H. Amin. Automated detection of lung nodules in
CT images using shape-based genetic algorithm. Computerized Medical Imaging and Graphics, 31(6):408–
417, ? 2007. †www /Google ga07aJDehmeshki.
[327] Jussi Tohka, Evgeny Krestyannikov, Ivo D. Dinov, Allan MacKenzie Graham, David W. Shattuck, Ulla
Ruotsalainen, and Arthur W. Toga. Genetic algorithm for finite mixture model based voxel classification
in neuroimaging. IEEE Transactions on Medical Imaging, 26(5):696–711, May 2007. ga07aJussiTohka.
[328] Karl G. Baum, Evan Schmidt, Kimberly Rafferty, Maria Helguera, David H. Feiglin, and Andrzej Krol.
Investigation of PET/MRI image fusion schemes for enchanced breast cancer diagnosis. In 2007 IEEE
Nuclear Science Symposium Conference Record (NSS’07), volume 5, pages 3774–3780, ?, 26. October3. November 2007. IEEE, Piscataway, NJ. ga07aKGBaum.
[329] Mohammed A. Alolfe, Abou-Bakr M. Youssef, and Yasser M. Kadah. Optimal design of selective excitation
pulses in magnetic resonance imaging using genetic algorithms. International Journmal of Biological and
Life Sciences, 3(2):129–141, ? 2007. ga07aMAAlolfe ⇒ www.waset.org/journals/ijbls/v3/v3-2-19.pdf.
[330] Mahua Bhattacharya and Arpita Das. Multi resolution medical image registration using maximization of
mutual information & optimization by genetic algorithm. In IEEE Nuclear Science Symposium Conference
Record (NSS’07), volume 4, pages 2961–2964, ?, 25. October-3. November 2007. IEEE, Piscataway, NJ.
ga07aMBhattacharya.
[331] Michael H¨
afner, Leonhard Brunauer, Hannes Payer, Robert Resch, Friedrich Wrba, Alfred Gangl, Andreas
V´ecsei, and Andreas Uhl. Pit pattern classification of zoom-endoscopical colon images using DCT and
FFT. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based Medical
Systems, pages 159–164, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aMHafner.
84
Genetic algorithms in medicine
[332] Pradipta Maji, B. Chanda, M. K. Kundu, and Suman Dasgupta. Deformation correction in brain MRI
using mutual information and genetic algorithm. In Proceedings of the International Conference on Computing: Theory and Applications (ICCTA’07), pages 372–376, ?, 5.-7. March 2007. IEEE Computer Sociaty,
Piscataway, NJ. ga07aPradiptaMaji.
[333] Samy Ait-Aoudia and Ramdane Mahiou. Medical image registration by simulated annealing and genetic
algorithms. In Geometric Modeling and Imaging (GMAI’07), pages 145–148, ?, 4.-6. July 2007. IEEE,
Piscataway, NJ. ga07aSAit-Aoudia.
[334] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Fitness function evaluation for image reconstruction using binary genetic algorithm for parallel ray transmission tomography. International Journal
of Computer Science and Network Security, 7(1):132–137, ? 2007. †www /Qureshi ga07aSAQureshi.
[335] Sokratis Makrogiannis, Jeremy Wellen, Yanjun Wu, Luke Bloy, and Susanta K. Sarkar. A multimodal
image registration and fusion methodology applied to drug discovery research. In Proceedings of the 9th
IEEE Workhop on Multimedia Signal Processing (MMSP’07), pages 324–327. IEEE, Piscataway, NJ, 1.3. October 2007. ga07aSMakrogiannis.
[336] Stephen Swift, Allan Tucker, Jason Crampton, and David Garway-Heath. An improved restricted growth
functional genetic algorithm for the concensus clustering of retinal nerve fibre data. In ?, editor, Proceedings
of the Genetic and Evolutionary Computation Conference (GECCO 2007), volume ?, pages 2174–2181,
London (UK), July 2007. ACM. ga07aStephenSwift.
[337] Yong Pang and Gary X. Shen. Improving excitation and inversion accuracy by optimized RF pulse
using genetic algorithm. Journal of Magnetic Resonance, 186(1):86–93, May 2007. ga07aYongPang ⇒
http://www.ncbi.nlm.nih.gov/pubmed/17379555.
[338] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. A template based continuous genetic algorithm
for image reconstruction. In Proceedings of the 11th IEEE INMIC 2007, pages –, ?, ? 2007. IEEE,
Piscataway, NJ. ga07bSAQureshi.
[339] Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, and Jeremy R. Playfer.
Diagnosis of Parkinson’s disease using evolutionary algorithms. Genetic Programming and Evolvable
Machines, 8(4):433–447, December 2007. ga07bSLSmith ⇒ http://www.springerlink.com/content/
d1124x226783n425/.
[340] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Determination of optimal number of projections
and parameter sensitivity analysis of operators for parallel-ray transmission tomography using hybrid
continuous genetic algorithm. International Journal of Imaging Systems and Technology, 17(1):10–21, ?
2007. ga07cSAQureshi.
[341] Boqiang Liu, Qingwei Yuan, Zhongguo Liu, Xiaomei Li, and Xiaohong Yin. Automatic segmentation of
intracranial hematoma and volume measurement. In Proceedings of the 30th Annual International IEEE
EMBS Conference, volume ?, pages 1214–1217, Vancouver, BC, 20.-24. August 2008. IEEE, Piscataway,
NJ. ga08aBoqiangLiu.
[342] Hua Cao. A Novel Automated Approach of Multi-Modality Retinal Image Registration and Fusion. PhD
thesis, Louisiana State University, 2008. * ga08aHuaCao.
[343] Jinn-Yi Yeh and J. C. Fu. A hierarchical genetic algorithm for segmentation of multi-spectral humanbrain MRI. Expert Systems with Applications, 34(2):1285–1295, February 2008. ga08aJinn-YiYeh ⇒
linkinghub.elsevier.com/retrieve/pii/S0957417406004167.
[344] Karl G. Baum, Mar´ıa Helguera, Evan Schmidt, Kimberly Rafferty, and Andrzej Krol. Evaluation of genetic
algorithm-generated multivariate color tables for the visualization of multimodal medical fused data sets.
In Proceedings of the 2008 IEEE Nuclear Science Symposium Conference, volume ?, pages 4355–4360, ?, ?
2008. IEEE, Piscataway, NJ. ga08aKarlGBaum.
[345] Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, and Raj Shekhar. Multiobjective optimization for econfigurable implementation of medical image registration. International Journal of Reconfigurable
Computing, 2008(ID 738174):17 pages, ? 2008. ga08aOmkarDandekar.
[346] Patrick Siarry, editor. Optimization in Signal and Image Processing. Wiley, Paris, 2008. †www /brochure
ga08aPSiarry.
[347] Petri V¨
alisuo and Jarmo T. Alander. Evaluation of uniqueness and accuracy of the model parameter
search using GA. In Tapani Raiko, Pentti Haikonen, and Jaakko V¨
ayrynen, editors, AI and Machine
Consciousness, Proceedings of the 13th Finnish Artificial Intelligence Conference STeP 2008, pages 41–45,
Espoo (Finland), 20.-22.August 2008. FAIS, Helsinki. ga08aPValisuo.
Bibliography
85
[348] Reza Karimi, Ting Zhu, Brett E. Bouma, and Mohammed R. Kaazempur Mofrad. Estimation of itnonlinear
mechanical properties of vascular tissues via elastography. Cardiovascular Engineering, 8(4):191–202,
December 2008. ga08aRezaKarimi.
[349] Samy Ait-Aoudia and Ramdane Mahiou. Evaluation of medical image registration by some meta-heuristics.
In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing
(ISCCSP’08), pages 107–110, Malta, 12.-14. March 2008. IEEE, Piscataway, NJ. ga08aSAit-Aoudia.
[350] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Optimization of projections for parallel-ray
transmission tomography using genetic algorithm. In Wireless Networks, Information Processing and
Systems International Multi Topic Conference, IMTIC 2008, Revised Selected PapersProceedings of the
11th IEEE INMIC 2007, pages –, Jamshoro (Pakistan), 11.-12. April 2008. Springer-Verlag. * www
/Springer ga08aSAQureshi.
[351] Song Wang and Atam P. Dhawan. Shape-based multi-spectral optical image reconstruction through genetic algorithm based optimization. Computerized Medical Imaging and Graphics, 32(?):429–441, ? 2008.
ga08aSongWang.
[352] Susanne Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder, and Christian Igel. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and
gradient-based methods. IEEE Transactions on Evolutionary Computation, 13(3):284–296, June 2008.
ga08aSusanneWinter ⇒ http://ieeexplore.ieee.org/ielx5/4235/4531586/04387663.pdf.
[353] W. Li, H. Wang, and Z. Qian. [optimization approach to inverse problems in near-infrared optical tomography]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 25(2):264–269, April 2008. (in Chinese) †PubMed
ga08aWLi.
[354] Yanli Zhang, Dexin Xie, Baodong Bai, Hee Sung Yoon, and Chang Seop Koh. New development of monohedral magnet for MRI using the combination of genetic algorithm and FEM-NESM. IEEE Transactions
on Magnetics, 44(6):1266–1269, June 2004. ga08aYanliZhang.
[355] Yingchun Zhong and Yi Zhang. Recognition study on positioning line transection of nerve slice image. In
Second International Symposium on Intelligent Information technology Application (IITA’08), volume 1,
pages 413–417, ?, 20.-22. December 2008. IEEE Computer Society. ga08aYingchunZhong.
[356] Yi Zhang, Manning Wang, and Zhijian Song. Multi-step 3D/2D image registration for image-guided spinal
surgery. In International Conference on BioMedical Engineering and Informatics (BMEI’08), volume 2,
pages 188–192, ?, 27.-30. May 2008. IEEE Computer Society. ga08aYiZhang.
[357] Yong Xia, Lingfeng Wen, Stefan Eberl, Michael Fulham, and Dagan Feng. Genetic algorithm-based PCA
eigenvector selection and weighting for automated identification of dementia using FDG-PET imaging.
In Proceedings of the 30th Annual International IEEE EMBS Conference, volume ?, pages 4812–4815,
Vancouver, BC, 20.-24. August 2008. IEEE, Piscataway, NJ. ga08aYongXia ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/19163793.
[358] Yong Yang and Shuying Huang. Retinal image mosaic base on genetic algorithm and automated blood
vessel extracting approach. In Proceedings of the 7th World Congress on Intelligent Control and Automation, pages 7751–7756, Chongqing (China), 25.-27. June 2008. IEEE, Piscataway, NJ. (in Chinese)
ga08aYongYang.
[359] Hua Cao, Bahram Khoobehi, and S. S. Iyengar. Automated optic nerve head image fusion of nonhuman primate eyes using heuristic optimization algorithm. In Proceedings of the IEEE Symposium on
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB’08), pages 228–232, ?,
15.-17. September 2008. IEEE, Piscataway, NJ. ga08bHuaCao.
[360] Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, and Raj Shekhar. Multiobjective optimization of FPGA-based medical image registration. In Proceedings of the 16th Symposium on FieldProgrammable Custom Computing Machines, pages 183–192, ?, ? 2008. IEEE Computer Society.
ga08bOmkarDandekar.
[361] Amine Na¨ıt-Ali and Patrick Siarry. Ch. 12, joint estimation of the dynamics and shape of physiological
signals through genetic algorithms. In Patrick Siarry, editor, Optimiation in Signal and Image Processing,
pages 301–328. Wiley, Hoboken, NJ, 2009. ga09aAmineNait-Ali.
[362] Cuong To and Tuan D. Pham. Analysis of cardiac imaging data using decision tree based parallel genetic
programming. In Proceedings of the 6th International Symposium on iMage and Signal Processing and
Analysis (ISPA09), volume ?, pages 317–320, ?, ? 2009. IEEE, Piscataway, NJ. ga09aCuongTo.
86
Genetic algorithms in medicine
´
[363] Franck P. Vidal, Delphine Lazaro-Ponthus, Samuel Legoupil, Jean Louchet, Evelyne
Lutton, and JeanMarie Rocchisani. Artificial evolution for 3D PET reconstruction. In ?, editor, Proceedings of the 9th
International Conference on Artificial Evolution (EA’09), page ?, Strasbourg (France), October 2009. ?
ga09aFranckPVidal.
[364] Johann Dr´eo, Jean-Claude Nunes, and Patrick Siarry. Ch. 11, metaheuristics for continuous variables.
the registration of retinal angiogram images. In Patrick Siarry, editor, Optimiation in Signal and Image
Processing, pages 269–299. Wiley, Hoboken, NJ, 2009. ga09aJohannDreo.
[365] Manish Kakar and Dag Rune Olsen. Automatic segmentation and recognition of lungs and lesion from CT
scans of thorax. Computerized Medical Imaging and Graphics, 33(?):72–82, ? 2009. ga09aManishKakar.
[366] Ming-Hung Kao, Abhyuday Mandal, and John Stufken. Efficient designs for event-related functional
magnetic resonance imaging with multiple scanning sessions. Communications in Statistics - Theory and
Methods, 38(16&17):3170–3182, January 2009. * www /Google ga09aMing-HungKao ⇒ http://www.
informaworld.com/smpp/content∼content=a914064542&db=all.
[367] M. Sumathi, Murali C. Krishna, and R. Murugesan. GA-based optimization of tapering windows for
artifact reduction in Fourier electron magnetic resonance images. International Journal of Computational
Intelligence and Applications, 8(2):111–125, ? 2009. * www /Google ga09aMSumathi ⇒ http://www.
worldscinet.com/ijcia/08/0802/S1469026809002503.html.
[368] Naima Kaabouch, Yi Chen, Julie Anderson, Forrest Ames, and Rolf Paulson. Asymmetry analysis
based on genetic algorithms for the prediction of foot ulcers. In Katy B¨
orner and Jinah Park, editors, Electronic Imaging, Visualization and Data Analysis 2009, volume SPIE-7243, page 724304, ?, ?
2009. The International Society for Optical Engineering, Bellingham, WA. ga09aNaimaKaaboucha ⇒
144.206.159.178/ft/CONF/16427701/16427704.pdf.
[369] Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, and N. N. Kishore. Simulation
studies on a genetic algorithm based tomographic reconstruction using time-of-flight data from ultrasound
transmission tomography. In ?, editor, Proceedings of the 9th International Conference on Adaptive and
Natural Computing Algorithms ICANNGA’09, volume ?, pages 253–262, Jyv¨
askyl¨
a (Finland), ? 2009.
Springer-Verlag, Berlin. †ACM ga09aShyamPKodali ⇒ http://dl.acm.org/citation.cfm?id=1813767.
[370] Takeshi Inaba, Lifeng He, Kenji Suzuki, Kazuhito Murakami, and Yuyan Chao. A genetic-algorithm-based
temporal subtraction for chest radiographs. Journal of Advanced Computational Intelligence and Intelligent
Informatics, 13(3):289–, 20. May 2009. ga09aTakeshiInaba.
[371] V. T. Ingole, C. N. Deshmukh, Anjali Joshi, and Deepak Shete. Medical image registration using genetic
algorithm. In Proceedings of the Second International Conference on Emerging Trends in Engineering and
Technology, ICETET-09, volume ?, pages 63–66, ?, ? 2009. IEEE, Piscataway, NJ. ga09aVTIngole ⇒
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5395423.
[372] Wei Ying, Chang Cunxi, Jia Tong, and Xu Xinhe. Segmentation of regions of interest in lung CT images based on 2-D OTSU optimized by genetic algorithm. In Proceedings of the 2009 Chinese Control
and Decision Conference (CCDC 2009), volume ?, pages 5185–5189, ?, ? 2009. IEEE, Piscataway, NJ.
ga09aWeiYing.
[373] Xiujie Zhang, Yi Shen, and Shiyong Li. A hybrid genetic algorithm for medical image registration with
downhill simplex method. In Proceedings of the 2009 IEEE Youth Conference on Information, Computing
and Telecommunication, YC-ICT’09, pages 291–294, ?, 20.-21. September 2009. IEEE, Piscataway, NJ.
ga09aXiujieZhang ⇒ http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5372311.
´
[374] Franck P. Vidal, Delphine Lazaro-Ponthus, Samuel Legoupil, Jean Louchet, Evelyne
Lutton, and JeanMarie Rocchisani. PET reconstruction using a cooperative coevolution strategy. In ?, editor, Proceedings of the IEEE Medical Imaging Conference 2009, page ?, Orlando, FL, October 2009. IEEE.
ga09bFranckPVidal.
[375] Pierre Collet, Pierrick Legrand, Claire Bourgeois-R´epublique, Vincent P´ean, and Bruno Frachet. Ch. 13,
using interactive evolutionary algorithms to help fit cochlear implants. In Patrick Siarry, editor, Optimiation in Signal and Image Processing, pages 329–356. Wiley, Hoboken, NJ, 2009. ga09bPierreCollet.
[376] Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura, and Yoichi Miyake. Particle swarm optimization based medical image segmentation technique. Medical Imaging Technology, 28(1):53–62, ? 2010.
ga10aAhmedAfifi ⇒ http://www.mi.tj.chiba-u.jp/∼tsumura/Tsumura/papers/JAMITI2010afifi.pdf.
[377] D´
ario A. B. Oliveira. Genetic adaptation of Gaussian mixture estimation for nodules and vessels segmentation inside the liver. Revista ICA 5, Departamento de Engenharia Eltrica, Pontifcia Universidade
Catlica do Rio de Janeiro - PUC-Rio, 2010. ga10aDarioABOliveira ⇒ http://rica.ele.puc-rio.br/
cgi/cgilua.exe/sys/start.htm?infoid=76&sid=17.
Bibliography
87
[378] Vitoantonia Bevilacqua, Guiseppe Mastronardi, and Alessandro Piazzolla. An evolutionary method for
model-based automatic segmentation of lower abdomen CT images for radiotherapy planning. In C. DiChic,
C. Cotta, and M. Ebne et al, editors, Applications of Evolutionary Computation, PT 1, Proceedings, volume
LNCS-6024, pages 320–327, Istanbul (Turkey), 7.-9. April 2010. Springer. * ISI ga10aVBevilacqua.
[379] Xiaosheng Huang and Fang Zhang. Multi-modal medical image registration based on gradient of mutual
information and morphological Haar wavelet. In Proceedings of the 2010 International Conference on eEducation, e-Business, e-Management and e-Learning, volume ?, pages 39–42, ?, ? 2010. IEEE, Piscataway,
NJ. ga10aXiaoshengHuang ⇒ http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=
5432388.
[380] Yujung Kang, Jungsul Lee, Kihwan Kwon, and Chulhee Choi. Assessment of peripheral tissue perfusion by
optical dynamic fluorescence imaging and nonlinear regression modeling. In Nikoforos Kollias et al, editor,
Photonic Therapeutics and Diagnostics VI, volume SPIE-7548, pages 7548L–75483L–13–, ?, ? 2010. The
International Society for Optical Engineering, Bellingham, WA. * SPIE ga10aYujungKang ⇒ http:
//adsabs.harvard.edu/abs/2010SPIE.7548E..70K.
[381] Arpita Das and Mahua Bhattacharya. Affine-based registration of CT and MR modality images of human brain using multiresolution approaches: comparative study on genetic algorithm and particle swarm
optimization. Neural Computing & Applications, 20(2):223–237, March 2011. * ISI ga11aArpitaDas ⇒
http://www.springerlink.com/content/q43778p0v8m54602/.
[382] Dario A. B. Oliveira, Raul Q. Feitosa, and Mauro M. Correia. Segmentation of liver, its vessels and lesions from CT images for surgical planning.
BioMedical Engineering OnLine, 10(?),
? 2010. ga11aDarioABOliveira ⇒ http://www.biomedical-engineering-online.com/content/pdf/
1475-925X-10-30.pdf.
[383] D. Dinevski, M. Mertik, and P. Kokol. Diagnosing mitral valve prolapse by improving the predictive
power of classifiers. The Journal of International Medical Research, 39(3):1075–1083, 2011. †PubMed
ga11aDDinevski ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21819741.
[384] Hua Cao, Nathan Brener, Bahram Khoobehi, and S. Sitharama Iyengar.
High performance
adaptive fidelity algorithms for multi-modality optic nerve head image fusion.
Journal of
Signal Processing Systems for Signal Image and Video Technology, 64(3):375–387, September
2011. ga11aHuaCao ⇒ http://apps.webofknowledge.com/full record.do?product=WOS&search mode=
AdvancedSearch&qid=10&SID=N1c2iL8oMgGaJhc@Fa@&page=1&doc=3.
[385] Jen Hong Tan, E. Y. K. Ng, and Rajendra Achary U. An efficient automated algorithm to detect ocular
surface temperature on sequence of thermograms using snake and target tracing function. Journal of
Medical Systems, 35(5):949–958, October 2011. †PubMed ga11aJenHongTan ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/20703645.
[386] Jos´e Santamar´ıa, Oscar Cord´
on, and Sergio Damas. A comparative study of state-of-the-art evolutionary
image registration methods for 3D modeling.
[387] Kristina Schwamborn, Rene C. Krieg, Sandra Uhlig, Hans Ikenberg, and Axel Wellmann. MALDI imaging
as a specific diagnostic tool for routine cervical cytology specimens. International Journal of Molecular
Medicine, 27(3):417–421, March 2011. †PubMed ga11aKristinaSchwamborn ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/21174066.
[388] Mahua Bhattacharya and Arpita Das. Multimodality medical image registration and fusion techniques
using mutual information and genetic algorithm-based approaches. In H. R. Arabnia and Q. N. Tran,
editors, Proceedings of the International Conference on Software Tools and Algorithms for Biological
Systems, volume 696 of Advances in Experimental Medicine and Biology, pages 441–449, ?, ? 2011.
Springer.
* ISI ga11aMahuaBhattacharya ⇒ http://apps.webofknowledge.com/full record.do?
product=WOS&search mode=AdvancedSearch&qid=10&SID=N1c2iL8oMgGaJhc@Fa@&page=1&doc=8.
[389] M. Pyka, D. Heider, S. Hauke, T. Kircher, and A. Jansen. Dynamic causal modeling with genetic algorithms. Journal of Neuroscience Methods, 194(2):402–406, January 2011. †PubMed ga11aMPyka ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21094663.
[390] Naima Kaabouch, Wen-Chen Hu, and Yi Chen. Alternative technique to asymmetry analysis-based overlapping for foot ulcer examination: Scalable scanning. Diabetes & Metabolism, ?(?):?, ? 2011. (open acess
journal) ga11aNaimaKaaboucha ⇒ www.omicsonline.org/2155-6156/2155-6156-S5-003.pdf.
[391] Petri V¨
alisuo. Photonics Simulation and Modelling of Skin for Design of Spectrocutometer. PhD thesis, University of Vaasa, Department of Electrical Engineering and Energy Technology, 2011. ga11aPetriValisuo
⇒ http://www.uwasa.fi/ajankohtaista/uutisia/valisuo/.
88
Genetic algorithms in medicine
[392] P. K. Srivathsa. Knowledge discovery in medical mining by using genetic algorithms and artificial neural
networks. In R. B. Patel and B. P. Singh, editors, Proceedings of the 2nd International Conference on
Methods and Models in Science and Technology (ICM2ST-11), pages –, Jaipur (India), 11. -20. November
2011. †ISI ga11aPKSrivathsa ⇒ .
[393] Sarfraz Ahmed Malik, Rakesh Singh Kunwar, and M. Ehtashamoul Haque. Automatic image registration using evolutionary algorithm. Recent Research in Science and Technology, 4(1):33–39, ? 2011.
ga11aSAMalik ⇒ http://recent-science.com/index.php/rrst/article/viewFile/10589/5365.
[394] Sang Cheol Park, Brian E. Chapman, and Bin Zheng. A multistage approach to improve performance of
computer-aided detection of pulmonary embolisms depicted on CT images: preliminary investigation. IEEE
Transactions on Bio-medical Engineering, 58(6):1519–1527, June 2011. †PubMed ga11aSangCheolPark
⇒ http://www.ncbi.nlm.nih.gov/pubmed/20693106.
[395] Sergio Damas, Oscar Gord´
on, and Jos´e Santamar´ıa. Medical image registration using evolutionary computation: An experimental survey. IEEE Computational Intelligence Magazine, 6(4):26–42, November 2011.
ga11aSDamas ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6052370.
[396] Shahzad Ahmad Qureshi, Sikander M. Mirza, Nasir M. Rajpoot, and Muhammad Arif. Hybrid diversification operator-based evolutionary approach towards tomographic image reconstruction. IEEE Transactions on Image Processing, 20(7):1977–1990, July 2011. †PubMed ga11aShahzadAhmadQureshi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21257380.
[397] Xingwei Wang, Dror Lederman, Jun Tan, Xiao Hui Wang, and Bin Zheng. Computerized prediction
of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry. Medical
Engineering & Physics, 33(8):934–942, October 2011. †PubMed ga11aXingweiWang ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/21482168.
[398] Arpita Das and Mahua Bhattacharya. Computerized decision support system for mass identification in
breast using digital mammogram: a study on GA-based neuro-fuzzy approaches. Advances in Experimental
Medicine and Biology, 696:523–533, 2011. †PubMed ga11bArpitaDas ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/21431593.
[399] Sang Cheol Park, Jun Tan, Xingwei Wang, Dror Lederman, Joseph K. Leader, Soo Hyung Kim, and Bin
Zheng. Computer-aided detection of early interstitial lung diseases using low-dose CT images. Physics
in Medicine and Biology, 56(4):1139–1153, February 2011. †PubMed ga11bSangCheolPark ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21263171.
[400] Brian D’Alessandro and Atam P. Dhawan. 3D volume reconstruction of skin lesions for melanin and blood
volume estimation and lesion severity analysis. IEEE Transactions on Medical Imaging, 31(11):2083–2092,
November 2012. ga12aBDAlessandro ⇒ http://ieeexplore.ieee.org/xpls/abs all.jsp?arnumber=
6243210&tag=1.
[401] Brian D’Alessandro and Atam P. Dhawan. 3-D volume reconstruction of skin lesions for melanin and
blood volume estimation and lesion severity analysis. IEEE Transactions on Medical Imaging, 31(11):2083–
2092, November 2012. †PubMed ga12aBrianD’Alessandro ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
22829392.
[402] Ching-Lin Wang, Chuin-Mu Wang, Yung-Kuan Chan, and Rong-Tai Chen. Image-quality figure evaluator
based on contrast-detail phantom in radiography. International Journal of Medical Robotics and Computer Assisted Surgery, 8(2):169–177, June 2012. ga12aChing-LinWang ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22213357.
[403] Chin Wei Bong, Hong Yoong Lam, Ahamad Tajudin Khader, and Hamzah Kamarulzaman. Adaptive multiobjective archive-based hybrid scatter search for segmentation in lung computed tomography imaging.
Engineering Optimization, 44(3):327–350, ? 2012. * ISI ga12aChinWeiBong ⇒ http://www.tandfonline.
com/doi/abs/10.1080/0305215X.2011.639369.
[404] Dietmar Cordes, Grit Herzmann, Rajesh Nandy, and Tim Curran. Optimization of contrast detection
power with probabilistic behavioral information. NeuroImage, 60(3):1788–1799, April 2012. †PubMed
ga12aDietmarCordes ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22326984.
[405] Feng Yang and Kuang Fu. Medical images registration based on gradient mutual information and improved genetic algorithm. In ?, editor, Proceedings of the 2012 International Conference on Communication Systems and Network Technologies, pages –, Rajkot (Gujarat India), 11.-13. May 2012. IEEE.
†Google IEEE ga12aFengYang ⇒ http://www.computer.org/csdl/proceedings/csnt/2012/4692/00/
4692a250-abs.html.
Bibliography
89
[406] Franck P. Vidal, Pierre-Frederic Villard, and Evelyne Lutton. Tuning of patient-specific deformable models
using an adaptive evolutionary optimization strategy. IEEE Transactions on Bio-medical Engineering,
59(10):2942–2949, October 2012. †PubMed ga12aFranckPVidal ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22907958.
[407] Hassan Khotanlou and Mahlagha Afrasiabi. Feature selection in order to extract multiple sclerosis lesions automatically in 3D brain magnetic resonance images using combination of support vector machine
and genetic algorithm. Journal of Medical Signals and Sensors, 2(4):211–218, October 2012. †PubMed
ga12aHassanKhotanlou ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23724371.
[408] Kerry A. Seitz, Jr., Anne-Marie Giuca, Jacob Furst, and Daniela Raicu. Learning lung nodule similarity
using a genetic algorithm. In B. Van Ginneken and C. L. Novak, editors, Medical Imaging 2012: ComputerAided Diagnosis, volume SPIE-8315, pages 831537–, ?, ? 2012. The International Society for Optical
Engineering, Bellingham, WA. ga12aKerryASeitz ⇒ http://spiedigitallibrary.org/proceedings/
resource/2/psisdg/8315/1/831537 1.
[409] Laxmi Tripathi, Praveen Kumar, Ranjit Singh, and James P. Stables. Design, synthesis and anticonvulsant
evaluation of novel N-(4-substituted phenyl)-2-[4-(substituted) benzylidene]-hydrazinecarbothio amides.
European Journal of Medicinal Chemistry, 47(1):153–166, January 2012. †PubMed ga12aLaxmiTripathi
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22082834.
[410] Martina Marinelli, Vincenzo Positano, Francesco Tucci, Danilo Neglia, and Luigi Landini. Automatic
PET-CT image registration method based on mutual information and genetic algorithms. The Scientific
World Journal, 2012(?):–, ? 2012. ga12aMartinaMarinelli ⇒ http://www.tswj.com/2012/567067/.
[411] Rucha R. Thakur, Swati R. Dixit, and A. Y. Deshmukh. VHDL design for image segmentation using Gabor filter for disease detection. International Journal of VLSI Design & Communication Systems
(VLSICS), 3(2):211–219, ? 2012. ga12aRuchaRThakur ⇒ http://airccse.org/journal/vlsi/papers/
3212vlsics18.pdf.
[412] Stefan Sawall, Michael Knaup, and Marc Kachelriess. A robust geometry estimation method for spiral, sequential and circular cone-beam micro-CT. Medical Physics, 39(9):5384–5392, September 2012. †PubMed
ga12aStefanSawall ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22957606.
[413] Sultan Zia, M. Arfan Jaffar, and Tae-Sun Choi. Morphological gradient based adapted selective filter for
removal of rician noise from magnetic resonance images. Microscopy Research and Technique, 75(8):1044–
1050, August 2012. †PubMed ga12aSultanZia ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22419618.
[414] Vijay Shah, Baris Turkbey, Haresh Mani, Yuxi Pang, Thomas Pohida, Maria J. Merino, Peter A. Pinto,
Peter L. Choyke, and Marcelino Bernardo. Decision support system for localizing prostate cancer based
on multiparametric magnetic resonance imaging. Medical Physics, 39(7):4093–4103, July 2012. †PubMed
ga12aVijayShah ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22830742.
[415] Wen-Jie Wu, Shih-Wei Lin, and Woo Kyung Moon. Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images. Computerized Medical Imaging and Graphics, 36(8):627–
633, December 2012. †PubMed ga12aWen-JieWu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22939834.
[416] Wenli Cai, June-Goo Lee, Karim Fikry, Hiroyuki Yoshida, Robert Novelline, and Marc de Moya. MDCT
quantification is the dominant parameter in decision-making regarding chest tube drainage for stable
patients with traumatic pneumothorax. Computerized Medical Imaging and Graphics, 36(5):375–386, July
2012. †PubMed ga12aWenliCai ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22560899.
[417] Xingwei Wang, Xiaofei Song, Brian E. Chapman, and Bin Zheng. Improving performance of computeraided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation
algorithm. In B. Van Ginneken and C. L. Novak, editors, Medical Imaging 2012: Computer-Aided Diagnosis, volume SPIE-8315, pages 83152U–, ?, ? 2012. The International Society for Optical Engineering, Bellingham, WA. ga12aXingweiWang ⇒ http://spiedigitallibrary.org/proceedings/resource/
2/psisdg/8315/1/83152U 1.
[418] Mohammad Reza Daliri. Automated diagnosis of Alzheimer disease using the scale-invariant feature transforms in magnetic resonance images. Journal of Medical Systems, 36(2):995–1000, April 2012. †PubMed
ga12bMohammadRezaDaliri ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21584770.
[419] Ahmad Bijar, Rasoul Khayati, and Antonio Penalve Benavent. Increasing the contrast of the brain MR
FLAIR images using fuzzy membership functions and structural similarity indices in order to segment
MS lesions. PloS One, 8:e65469, 2013. †PubMed ga13aAhmadBijar ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23799015.
90
Genetic algorithms in medicine
[420] Asif Ekbal, Sriparna Saha, and Utpal Kumar Sikdar. Biomedical named entity extraction: some issues
of corpus compatibilities. SpringerPlus, 2:601, November 2013. †PubMed ga13aAsifEkbal ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/24294548.
[421] Andrea Valsecchi, Sergio Damas, Jos´e Santamar´ıa, and Linda Marrakchi-Kacem. Genetic algorithms for
voxel-based medical image registration. In Proceedings of the 2013 IEEE Fourth International Workshop on
Computational Intelligence in Medical Imaging (CIMI), pages 22–29. IEEE, Piscataway, NJ, 16.-19. April
2013. ga13aAValsecchi ⇒ http://ieeexplore.ieee.org/xpls/abs all.jsp?arnumber=6583853.
[422] Azardokht Amirzadi and Reza Azmi. Introducing kernel based morphology as an enhancement method for
mass classification on mammography. Journal of Medical Signals and Sensors, 3:117–126, 2013. †PubMed
ga13aAzardokhtAmirzadi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24098865.
[423] Feng Yang and Liang Fang. CT/MR image registration combined multi-resolution with hybrid search strategy. In IEEE Conference Anthology, pages 1–4. IEEE, Piscataway, NJ, 1.-8. January 2013. ga13aFengYang
⇒ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6784933.
[424] Hossein Aghamohammadi, Mohammad Saad Mesgari, Damoon Molaei, and Hasan Aghamohammadi. Development a heuristic method to locate and allocate the medical centers to minimize the earthquake relief
operation time. Iranian Journal of Public Health, 2013. †PubMed ga13aHosseinAghamohammadi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23514709.
[425] Jitendra Virmani, Vinod Kumar, Naveen Kalra, and Niranjan Khandelwal. SVM-based characterization of
liver ultrasound images using wavelet packet texture descriptors. Journal of Digital Imaging, 26(3):530–543,
June 2013. †PubMed ga13aJitendraVirmani ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23065124.
[426] Justin Y. Lo, J. Quincy Brown, Sulochana Dhar, Bing Yu, Gregory M. Palmer, Nan M. Jokerst, and
Nirmala Ramanujam. Wavelength optimization for quantitative spectral imaging of breast tumor margins. PloS One, 8(4):e61767, April 2013. †PubMed ga13aJustinYLo ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23613927.
[427] Sebastien Menigot and Jean-Marc Girault. Optimization of contrast-to-tissue ratio by adaptation of transmitted ternary signal in ultrasound pulse inversion imaging. Computational and Mathematical Methods
in Medicine, 2013:297463, 2013. †PubMed ga13aSebastienMenigot ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23573167.
[428] Valent´ın Osuna-Enciso. A comparison of nature inspired al gorithms for multi-threshold image segmentation. Expert Systems with Applications, 40(4):1213–1219, March 2013. ga13aValentinOsuna-Enciso ⇒
http://dl.acm.org/citation.cfm?id=2400939.
[429] Yinghuan Shi, Yang Gao, Yubin Yang, Ying Zhang, and Dong Wang. Multimodal sparse representationbased classification for lung needle biopsy images. IEEE Transactions on Bio-medical Engineering,
60(10):2675–2685, October 2013.
†PubMed ga13aYinghuanShi ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23674412.
[430] Yuanxiu Zhang, Mingyang Chen, Qingmao Hu, and Wenhua Huang. Detection and quantification of intracerebral and intraventricular hemorrhage from computed tomography images with adaptive thresholding and
case-based reasoning. International Journal of Computer Assisted Radiology and Surgery, 8(6):917–927,
November 2013. †PubMed ga13aYuanxiuZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23974978.
[431] Yutana Jewajinda and Prabhas Chongstitvatana. A parallel genetic algorithm for adaptive hardware and
its application to ECG signal classification. Neural Computing & Applications, 22(7).
[432] Andrea Valsecchi, Sergio Damas, and Jos´e Santamar´ıa. Evolutionary intensity-based medical image registration: A review. Current Medical Imaging Reviews, 9(4):283–297, November 2013. ga13bAValsecchi ⇒
http://www.ingentaconnect.com/content/ben/cmir/2013/00000009/00000004/art00004.
[433] Jitendra Virmani, Vinod Kumar, Naveen Kalra, and Niranjan Khandelwal. Characterization of primary
and secondary malignant liver lesions from B-mode ultrasound. Journal of Digital Imaging, 26(6):1058–
1070, December 2013. †PubMed ga13bJitendraVirmani ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23412917.
[434] Antonio Oseas Carvalho Filho, Wener Borges de Sampaio, Aristofanes Correa Silva, Anselmo Cardoso
de Paiva, Rodolfo Acatauassu Nunes, and Marcelo Gattass. Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index. Artificial Intelligence
in Medicine, 60:165–177, 2014. †PubMed ga14aAOCarvalhoFilho ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/24332156.
Bibliography
91
[435] Zuleyha Akusta Dagdeviren, Kaya Oguz, and Muhammed G. Cinsdikici. Three techniques for automatic
extraction of corpus callosum in structural midsagittal brain MR images: Valley matching, evolutionary corpus callosum detection and hybrid method. Engineering Applications of Artificial Intelligence,
31(SI):101–115, May 2014. †ISI ga14aZADagdeviren ⇒ .
[436] Yung-Nien Sun, Jiann-Jone Chen, Xi-Zhang Lin, and Chi-Wu Mao. New method for constructing 3-D
liver from CT images. In Kou-Hu Tzou and Toshio KOga, editors, Visual Communications and Image
Processing ’91, volume SPIE-1606, pages 653–664, ?, November 1991. The International Society for Optical
Engineering. * www/SPIE Web ga91aY-NSun.
[437] Richard Comely and Walter S. Kuklinski. Applications of genetic optimization to medical image segmentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,
Springfield, MA, 17.-18. March 1994. IEEE, New York. * CCA 64048 ga94aCornely.
[438] D. Eric Walters and R. Michael Hinds. Genetically evolved receptor models (GERM): A computational
approach to construction of receptor models. Journal of Medicinal Chemistry, 37(16):2527–2536, ? 1994.
ga94aDEWalters.
[439] Sven Lonˇcari´c and Atam P. Dhawan. 3-D brain image registration using optimal morphological processing
and iterative principal axis transform. In Proceedings of the 16th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society, volume 1, pages 692–693, ?, 3.-6. November 1994.
IEEE, Piscataway, NJ. ga94aSLoncaric.
[440] Konstantinos K. Delibasis and Peter E. Undrill. Genetic algorithms and deformable geometric models for
anatomical object recognition. In Proceedings of the IEE Colloquium on ‘Genetic Algorithms in Image
Processing and Vision’, volume ?, pages 8/1–8/7, London, UK, 20. October 1994. IEE, London, UK.
†CCA724/95 ga94bDelibasi.
[441] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. In
Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 1, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York, NY. *
EEA70793/95 ga94bMatsui.
[442] B. J. Fisher, N. Dillon, T. A. Carpenter, and L. D. Hall. Design by genetic algorithm of a z gradient set
for magnetic resonance imaging of the human brain. Measurement Science & Technology, 6(7):904–909,
July 1995. ga95aBJFisher.
[443] Graeme Faulkner and Habib Talhami. Using “biological” genetic algorithms to solve the travelling salesman problem with applications in medical image processing. In ICEC’95 [1169], pages 707–712. †prog.
ga95aFaulkner.
[444] Jaime J. Fernandez. Myoelectric signal recognition using genetic programming. Master’s thesis, Rice
University, MEMS Department, 1995. †[?] ga95aFernandez.
[445] Hiroshi Fujita, Tokiko Endo, Tomoko Matsubara, Kenichi Hirako, Takeshi Hara, Hitoshi Ueda, Tasuhiro
Torisu, Nader Riyahi-Alam, Katsuhei Horita, Choichiro Kido, and Takeo Ishigaki. Automated detection
of masses and clustered microcalcifications on mammograms. In Murray H. Loew, editor, Medical Imaging
1995: Image Processing, volume SPIE-2434, pages 682–692, ?, May 1995. The International Society for
Optical Engineering. * www/SPIE Web ga95aHFujita.
[446] F. Kruggel and P. Bartenstein. Automatical registration of brain volume data sets. In Yves Bizais, Christian
Barillot, and Robert Di Paola, editors, Proceedings of the 14th International Conference on Information
Processing in Medical Imaging (IPMI 95), page ?, Brest (France), June 1995. Kluwer Academic Publishers,
Dordrecht, The Netherlands. †prog. ga95aKruggel.
[447] A. Kutics. A new evolutionary approach for blood vessel detection on a transputer network. In ?, editor,
Proceedings of the 2nd Asian Conference on Computer Vision (ACCV’95), volume 1, pages 106–110,
Singapore, 5.-8. December 1995. Nanyang Technol. Univ., Singapore. * CCA 75624/96 ga95aKutics.
[448] Milan Sonka, Satish Kumar Tadikonda, and Steve M. Collins. Knowledge based interpretation of MR
brain images. In Yves Bizais, Christian Barillot, and Robert Di Paola, editors, Proceedings of the 14th
International Conference on Information Processing in Medical Imaging (IPMI 95), page ?, Brest (France),
June 1995. Kluwer Academic Publishers, Dordrecht, The Netherlands. †prog. ga95aSonka.
[449] Lei Zhang, Lisong Wang, Yuwen Zang, H. Seki, and H. Itoh. On rule checking and learning in an ancupuncture diagnosis fuzzy expert system by genetic algorithm. In Proceedings of the International Joint
Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International
Fuzzy Engineering Symposium, volume 2, pages 455–460, Yokohama (Japan), 20.-24. March 1995. IEEE,
New York, NY. †CCA66657/95 ga95bLZhang.
92
Genetic algorithms in medicine
[450] Xin Yao and Yong Liu. Evolving neural networks for medical applications. In Proceedings of the 1st Korea
- Australia Joint Workshop on Evolutionary Computation, pages 1–16, Taejon (Korea), 26.-29. September
1995. The Korea Science Engineering Foundation, The Australian Academy of Science, The Australian
Academy of Technological Sciences and Engineering, KAIST, Korea. ga95eXYao.
[451] Andrea Kutics. Evolution of gray-scale morphology structures for the extraction of medical objects. In Andrew G. Tescher, editor, Applications of Digital Image Processing XIX, volume SPIE-2847, pages 593–602,
?, November 1996. The International Society for Optical Engineering. * www/SPIE Web ga96aAKutics.
[452] B. J. Fisher, N. Dillon, A. A. Wilkinson, T. A. Carpenter, and L. D. Hall. Design and evaluation of
a transverse gradient set for magnetic resonance imaging of the human brain. Measurement Science &
Technology, 7(5):838–843, May 1996. ga96aBJFisher.
[453] C. A. Czarnecki, T. Routen, and J. Weistra. Matching images for radiotherapy verification using genetic algorithms. In Proceedings of the 1996 8th Mediterranean Electrotechnical Conference (MELECON’96), volume 2, pages 1075–1078, Bari (Italy), 13.-16. May 1996. IEEE, New York. * EI M015350/97
ga96aCzarnecki.
[454] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithm implementation
of stack filter design for image restoration. IEE Proceedings, Vision, Image, Signal Processing, 3(143):177–
183, July 1996. (http://www.biomed.abdn.ac.uk/Research/Computing/Online/) ga96aDelibasis.
[455] Atam P. Dhawan, Yateen Chitre, Christine Kaiser-Bonasso, and Myron Moskowitz. Analysis of mammographic microcalcifications using gray-level image structure features. IEEE Transactions on Medical
Imaging, 15(3):246–259, June 1996. ga96aDhawan.
[456] H. F. Gray, R. J. Maxwell, I. Martinez-Perez, C. Arus, and S. Cerdan. Genetic programming for classification of magnetic resonance data. In Koza et al. [1170], page 424. * CCA 51474/97 conf.prog ga96aGray.
[457] Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok L. Lam, and Mark A. Helvie. Effects of pixel
size on classification of microcalcification on digitized mammograms. In Murray H. Loew and Kenneth M.
Hanson, editors, Medical Imaging 1996: Image Processing, volume SPIE-2710, pages 30–41, ?, April 1996.
The International Society for Optical Engineering. * www/SPIE Web ga96aH-PChan.
[458] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonic
imaging. IEEE Eng. Med. Biol., 15(6):93–101, November-December 1996. * EI M045586/97 ga96aJ-DLee.
[459] Kuo-Sheng Cheng, Bae-Horng Chen, and Han-Seng Tong. Electrical impedance image reconstruction
using the genetic algorithm. In Proceedings of the 18th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 2, pages 768–769, Amsterdam (The Netherlands),
31. October-3. November 1996. IEEE, New York, NY. ga96aKuoCheng.
[460] M. Kupinski, M. L. Giger, and K. Doi. Optimization of neural-network inputs with genetic algorithms. In
Digital Mammography ’96, pages 401–404, 1996. †P74190 ga96aKupinski.
[461] D. McNay, Eric Michielssen, R. L. Rogers, F. A. Taylor, M. Akhtari, and W. W. Sutherling. Multiple
source localization using genetic algorithms. Journal of Neuroscience Techniques, 64(?):163–172, February
1996. †Johnson/bib [?] ga96aMcNay.
[462] Alejandro Pazos, Julian Dorado, and Antonino Santos. Detection of patterns in radiographs using ANN
designed and trained with the genetic algorithm. In Koza et al. [1170], page ? †conf.prog ga96aPazos.
[463] Robert P. Velthuizen, Lawrence O. Hall, and Laurence P. Clarke. Novel approach to feature extraction
for MIR segmentation. In Murray H. Loew and Kenneth M. Hanson, editors, Medical Imaging 1996:
Image Processing, volume SPIE-2710, pages 222–231, ?, April 1996. The International Society for Optical
Engineering. * www/SPIE Web ga96aRPVelthuizen.
[464] Berkman Sahiner, Heang-Ping Chan, Datong Wei, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, and
Michell M. Goodsitt. Image feature selection by a genetic algorithm: Application to classification of mass
and normal breast tissue. Medical Physics, 23(10):1671–1684, ? 1996. * BA 170822/96 ga96aSahiner.
[465] Milan Sonka, Satish K. Tadikonda, and Steve M. Collins. Knowledge-based interpretation of MR brain
images. IEEE Transactions on Medical Imaging, 15(4):443–452, August 1996. ga96aSonka.
[466] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image partitioning. In ?, editor, Proceedings of the First Asia-Pacific Conference Simulated Evolution and Learning,
pages 81–88, Taejon (Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †EEA102844/97
ga96aZenNakao.
Bibliography
93
[467] Andrea Kutics. Evolutionary algorithm for automatic detection of blood vessel shapes. In Murray H.
Loew and Kenneth M. Hanson, editors, Medical Imaging 1996: Image Processing, volume SPIE-2710,
pages 743–751, ?, April 1996. The International Society for Optical Engineering. * www/SPIE Web
ga96bAKutics.
[468] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithms applied to fourier
descriptor based geometric-models for anatomical object recognition in medical images. In K. M. Hanson
M. H. Loew, editor, ETSI konferenssi, volume SPIE-2710, page ?, Newport Beach, CA, 12.-15. February
1996. SPIE - Int. Soc. Optical Engineering, Bellingham. †P68352 ga96bDelibasis.
[469] C. E. Floyd, G. D. Tourassi, and J. A. Baker. Use of genetic algorithms for computer-aided diagnosis
of breast cancers from image features. In K. M. Hanson M. H. Loew, editor, ETSI konferenssi, volume
SPIE-2710, page ?, Newport Beach, CA, 12.-15. February 1996. SPIE - Int. Soc. Optical Engineering,
Bellingham. †P68352 ga96bFloyd.
[470] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonic
imaging. Electronics Letters, 32(23):2137–2138, 1996. ga96bJ-DLee.
[471] Riccardo Poli. Genetic programming for feature detection and image segmentation. In Terence C. Fogarty?,
editor, Evolutionary Computing, Proceedings of the AISB96 Workshop, pages 149–164, Brighton, UK, 1.2. April 1996. Springer-Verlag, Berlin (Germany). ga96bPoli.
[472] Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, Ikuo Nakamura, and Shinichi Tamura. Reconstruction of
neutron penumbral images by a constrained genetic algorithm. In Proceedings of the 13th International
Conference on Pattern Recognition, volume IV, pages 525–529, Vienna (Austria), 25.-29. August 1996.
IEEE Computer Society Press, Los Alamitos, CA. ga96bY-WChen.
[473] B. J. Fisher, N. Dillon, T. A. Carpenter, and L. D. Hall. Design of a biplanar gradient coil using a genetic
algorithm. Magnetic Resonance Imaging, 15(3):369–376, 1997. ga97aBJFisher.
[474] S. Cadieux, N. Tanizaki, and T. Okamura. Time efficient and robust 3-D brain image centering and realignment using hybrid genetic algorithm. In Proceedings of the 36th SICE Annual Conference on International
Session Papers, pages 1279–1284, Tokushima, Japan, 29.-31. July 1997. Soc. Instrum & Control Eng. 1995,
Tokyo, Japan. †EEA114451/98 ga97aCadieux.
[475] Jerzy Cytowski. An application of a genetic algorithm to edge detection. In Pavel Oˇsmera, editor, Proceedings of the 3rd International Mendel Conference on Genetic Algorithms, Optimization problems, Fuzzy
Logic, Neural networks, Rough Sets (MENDEL’97), pages 38–43, Brno (Czech Republic), 25.-27. June
1997. Technical University of Brno. ga97aCytowski.
[476] C. Y. Wu, O. Tsujii, M. T. Freedman, and S. K. Mun. Image feature analysis for classification of microcalfications in digital mammography - neural networks and genetic algorithms. In K. M. Hansen, editor,
Proceedings of, volume SPIE-3034, pages 501–509, Newport Beach, CA, 25.-28. February 1997. SPIE –
The International Society for Optical Engineering, Bellingham. †P75417 ga97aCYWu.
[477] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing texture filters with
genetic algorithms: An application to medical images. Signal Processing, 57(1):19–33, February 1997.
†EEA 79304/97 EI M182403/98 ga97aDelibasis.
[478] Matthew A. Kupinski and Maryellen L. Giger. Feature selection and classifiers for the computerized detection of mass lesions in digital mammography. In Proceedings of the 1997 IEEE International Conference
on Neural Networks, volume 4, pages 2460–2463, Houston, TX, 9.-12. June 1997. IEEE, Piscataway, NJ.
†EI M177917/97 ga97aKupinski.
[479] Mohamed N. Ahmed, Sameh M. Yamany, E. Hemayed, S. Ahmed, S. Roberts, and Aly A. Farag. 3D
reconstruction of the human jaw from a sequence of images. In Proceedings of the 1997 IEEE International
Conference on Computer Vision and Pattern Recognition, pages 646–653, San Juan, PR, 17.-19. June 1997.
IEEE Computer Society Press, Los Alamitos, CA. * EI M159938/97 ga97aMAhmed.
[480] Ursula Rost and Peter Oechtering. Knowledge-based genetic learning. In G¨
osta Grahne, editor, Proceedings
of the Sixth Scandinavian Conference on Artificial Intelligence, pages 107–118, Helsinki (Finland), 18.20. August 1997. IOS Press. (ftp://ftp.uwasa.fics/3NWGA/Rost.ps.Z) ga97aRost.
[481] Sameh M. Yamany, K. J. Khiani, and Aly A. Farag. Application of neural networks and genetic algorithms
in the classification of endothelian cells. Pattern Recognition Letters, 18(11-13):1205–1210, November 1997.
†toc ga97aSMYamany.
[482] Wen Nian, K. Okazaki, K. Taniguchi, and S. Tamura. Countour extraction of renal glomeruli by GA. Med.
Imaging Technol. (Japan), 15(6):725–733, 1997. In Japanese †CCA15867/98 ga97aWenNian.
94
Genetic algorithms in medicine
[483] Yen-Wei Chen, Zensho Nakao, and Kouichi Arakaki. Genetic algorithms applied to neutron penumbral
imaging. Opt. Rev. (Japan), 4(1B):209–215, 1997. †EEA66708/97 ga97aY-WChen.
[484] Yan Yu, M. C. Schell, and B. Y. Zhang. Decision theoretic steering and genetic algorithm optimization:
application to stereotactic radiosurgery treatment planning. Medical Physics, 24(11):1742–1750, 1997.
†PA7034/98 ga97aYanYu.
[485] Yongbum Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki. Nodule detection on chest helical CT scans by using a genetic algorithm. In Proceedings of the Intelligent Information Systems, pages 67–70, Grand Bahama
Island, Bahamas, 8.-10. December 1997. IEEE, Los Alamitos, CA. †CCA16085/98 ga97aYongbumLee.
[486] Zhiyue Liu, Hualou Liang, J. D. Z. Chen, and R. W. McCallum. Application of combined genetic algorithms
with cascade correlation to diagnosis of delayed gastric emptying from electrogastrograms. In Proceeding
of the 1997 Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
volume 3, pages 1355–1358, Chicago, IL, USA, 30. October-2. November 1997. IEEE, Piscataway, NJ. *
www/IEEE ga97aZLiu.
[487] Zensho Nakao, Midori Takashibu, Fath El Alem Fadlallah Ali, and Yen-Wei Chen. Evolutionary CT
image reconstruction. In Proceedings of the 1997 IEEE International Conference on Neural Networks,
volume 3, pages 1608–1611, Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †CCA83561/97
ga97bZenshoNakao.
[488] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing Fourier descriptor-based
geometric models for object interpretation in medical images using genetic algorithms. Computer Vision
and Image Understanding, 66(3):286–300, June 1997. ga97cDelibasis.
[489] Jorma Laurikkala and Martti Juhola. Learning diagnostic rules from a urological database using genetic
algorithm. In Jarmo T. Alander, editor, Proceedings of the Third Nordic Workshop on Genetic Algorithms
and their Applications (3NWGA), pages 233–244, Helsinki (Finland), 18.-22. August 1997. Finnish Artificial Intelligence Society (FAIS). (ftp://ftp.uwasa.fics/3NWGA/Laurikkala.ps.Z) ga97cLaurikkala.
[490] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image
partition. In Michael Blumenstein, editor, Proceedings of the International Conference on Computational
Intelligence and Multimedia Applications, pages 427–431, Gold Coast, QUE, Australia, February 1997.
Watson Ferguson & Company (Griffith University). ga97dZNakao.
[491] A. C. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by direct optimization.
Med. Image Anal., 2(4):303–314, December 1998. * PubMed10072198 ga98aACKotcheff.
[492] M. A. Anastasio, H. Yoshida, R. Nagel, R. M. Nishikawa, and K. Doi. A genetic algorithm-based method
for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. Med. Phys. (USA), 25(9):1613–1620, 1998. †CCA82151/98 ga98aAnastasi.
[493] Chulkyu Shin, Sangmin Lee, Eunsil Lee, Jangwoo Kwon, Younggun Jang, and Seunghong Hong. A study
on electromyogram signal technique using neural network and genetic algorithms. J. Inst. Electron. Eng.
Korea S (South Korea), 35-S(11):176–183, 1998. In Korean †PA62795/99 ga98aChulShin.
[494] P. P. Delsanto, A. Romano, M. Scalerandi, and F. Moldoveanu. Application of genetic algorithms
to ultrasonic tomography. The Journal of the Acoustical Society of America, 104(3):1374–1381, 1998.
†CCA79067/98 ga98aDelsanto.
[495] T. S. Douglas, P. V. Lee, S. E. Solomonidis, and W. D. Spence. Compounding of ultrasound b-scans
of a trans-femoral residual limb using a genetic algorithm. In Proceedings of the Medical Imaging, pages
1028–1035, San Diego, CA, 23.-26. February 1998. SPIE – International Society for Optical Engineering.
†PA39866/99 P81474 ga98aDouglas.
[496] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by genetic algorithms. In Proceedings of the 1998 Fourth International Conference on Signal Processing, volume 2, pages 1213–1216, Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA84921/99
ga98aDu-YTsai.
[497] Fath El Alem F. Ali, Zensho Nakao, and Yen-Wei Chen. Three new soft computing approaches to twodimensional CT image reconstruction: A comparative study. In Proceedings of the 2nd 1998 International
Conference on Knowledge.Based Intelligent Electronic Systems, pages 210–219, Adelaide (Australia), 21.23. April 1998. IEEE, Piscataway, NJ. ga98aFEAFAli.
[498] Mark´
us Gu∂mundsson, Essam A. El-Kwae, and Mansur R. Kabuka. Edge detection in medical images using
a genetic algorithm. IEEE Transactions on Medical Imaging, 17(3):469–474, June 1998. ga98aGudmundsson.
Bibliography
95
[499] Guozhen Yang, L. E. Reinstein, S. Pai, Zhigang Xu, and D. L. Carroll. A new genetic algorithm techniques in optimization of permanent prostate implants. Medical Physics, 25(12):2308–2315, 1998. †[602]
PA24078/99 ga98aGuozhenYang.
[500] Jangwoo Kwon, Sangjean Lee, Chulkyu Shin, Younggun Jang, and Seunghong Hong. Signal hybrid HMMGA-MLP classifier for continuous EMG classifiercation purpose. In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1404–1407,
Hong Kong, 29. oct - 1. nov ? 1998. IEEE, Piscataway, NJ. †CCA84776/99 ga98aJangKwon.
[501] Jean-Michel Rouet, Jean-Jos´e Jacq, and Christian Roux. 3D elastic multimodality image registration
through a genetic algorithm. In Proceedings of the 20th Annual International Conference of the IEEE
Engineering in Medicine and Medicine and Biology Society, volume 20, pages 663–666, Hong Kong, 29.
oct- 1. nov ? 1998. IEEE, New York, NY. ga98aJMRouet.
[502] Lucia Ballerini. Genetic snakes for medical image segmentation. In Francoise Preteux, Jennifer L. Davidson,
and Edward R. Dougherty, editors, Mathematical Modeling and Estimation Techniques in Computer Vision,
volume SPIE-3457, pages 284–295, ?, September 1998. The International Society for Optical Engineering.
* www/SPIE Web ga98aLBallerini.
[503] P. Linares, L. Rodriguez, and G. Montilla. Genetic algorithm fitting of deformable superquadrics applied
to left ventricle visualization. Computers in Cardiology, 25:657–660, 1998. †PA62619/99 ga98aLinares.
[504] M. Tsuzaka, H. Fujita, M. Uno, and T. Hara. Development of an automated detection algorithm for
mediatistinal lymph nodes on chest X-ray CT images. Jpn. J. Med. Electron. Biol. Eng. (Japan), 36(4):343–
350, 1998. In Japanese †PA93944/99 ga98aMTsuzaka.
[505] Ou Tan, Chunguang Jia, Huilong Duan, and Weixue Lu. Automatic segmentation and classification of
human brain image based on a fuzzy brain atlas. In Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting
Zhu, Mingyue Ding, and Jianguo Liu, editors, International Symposium on Multispectral Image Processing
(ISMIP’98), volume SPIE-3545, pages 508–511, ?, September 1998. The International Society for Optical
Engineering. * www/SPIE Web ga98aOTan.
[506] Peter Andris and Ivan Frollo. Genetic algorithm with modified elitism for RF coil NMR tomograph
magnetic field homogeneity optimisation. In Pavel Oˇsmera, editor, Proceedings of the 4th International
Mendel Conference on Genetic Algorithms, Optimization problems, Fuzzy Logic, Neural networks, Rough
Sets (MENDEL’98), pages 13–18, Brno (Czech Republic), 24.-26. June 1998. Technical University of Brno.
ga98aPAndris.
[507] Ping Chan Heang, Berkman Sahiner, Leung Lam Kwok, Nicholas Petrick, Mark A. Helvie, Michell M.
Goodsitt, and Dorit D. Adler. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Medical Physics, 25(10):2007–2019, October 1998. * INSPEC 6059109
ga98aPingChanHeang.
[508] Patrick Piscaglia, Vincent Vaerman, Carmen De Sola Fabregas, Jean-Philippe Thiran, and Benoit M. Marq.
ROI-based multiresolution compression of heart MR images. In Yongmin Kim and Seong K. Mun, editors,
Medical Imaging 1998: Image Display, volume SPIE-3335, pages 583–594, ?, June 1998. The International
Society for Optical Engineering. ga98aPPiscaglia.
[509] Philippe Schroeter, Jean-Marc Vesin, Thierry Langenberger, and Reto Meuli. Robust parameter estimation
of intensity distribution for brain magnetic resonance. IEEE Transactions on Medical Imaging, 17(2):172–
186, April 1998. ga98aPSchroeter.
[510] R. Olmi, M. Bini, S. Manetta, and S. Priori. EIT reconstruction of static images by a genetic algorithm
approach. In Proceedings of the Electrical Bioimpedance Methods: Applications to Medicine and Biotechnology, pages 454–465, Barcelona (Spain), 5.-9. April 1998. New York Acad Sciences, New York. †P85314
ga98aROlmi.
[511] Sameh M. Yamany and Aly A. Farag. A system for human using intra-oral images. In H. K. Chang and
Y. T. Zhang, editors, Proceedings of the 20th Annual International Conference of the IEEE Engineering
in Medicine and Biology Society, volume 3, pages 563–566, Hong Kong, China, 29. October-29. November
1998. IEEE, Piscataway, NJ. * ga98aSMYamany.
[512] T. Hara, Yongbum Lee, and H. Fujita. Fundamentals of medical 3D images and intelligent information
processing. Med. Imaging Technol. (Japan), 16(2):103–110, 1998. In Japanese †PA88371/98 ga98aTHara.
[513] Tania S. Douglas, Peter V. Lee, Stephan E. Solomonidis, and William D. Spence. Compounding of
ultrasound B-scans of a transfemoral residual limb using a genetic algorithm. In Kenneth M. Hanson,
editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 1028–1035, ?, June 1998. The
International Society for Optical Engineering. * www/SPIE Web ga98aTSDouglas.
96
Genetic algorithms in medicine
[514] Yen ting Chen, Kuo sheng Cheng, and Jia kuang Liu. Feature subimage extraction for cephalogram
land marking. In H. K. Chang and Y. T. Zhang, editors, Proceedings of the 20th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1414–1417, Hong
Kong, China, 29. October-29. November 1998. IEEE, Piscataway, NJ. * www/IEEE ga98aY-tChen.
[515] Yuhui Shi and Russell C. Eberhart. Review of biomedical applications of computational intelligence.
In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and
Biology society, volume 3, pages 1116–1120, Hong Kong, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.
†CCA78638/99 ga98aYShi.
[516] Z. Dokur, T. Olmez, and E. Yazgan. Classification of MR and CT images using genetic algorithms.
In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and
Biology Society, volume 3, pages 1418–1421, Hong Kong, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.
†CCA84779/99 ga98aZDokur.
[517] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by genetic
algorithms. In Y. Baozong and T. Xiaofang, editors, 1998 Fourth International Conference on Signal
Processing Proceedings. ICSP ’98, volume 2, pages 1213–1216, Beijing, China, 12.-16.October 1998. IEEE,
Piscataway, NJ. * www/IEEE ga98bD-YTsai.
[518] I. Nagayama and M. Kudaka. Automatic detection of histological components in breast cancer image by
using genetic neural network. In Proceedings of the 5th International Conference on soft Computing and
Information/Intelligent Systems, volume 2, pages 1011–1016, Fukuoka, Japan, 16.-20. October 1998. World
Scientific, Singapore. †CCA75235/99 ga98bNagayama.
[519] A. Gottvald. Bayesian evolutionary inversions in biomedical NMR-spectroscopy. In P. Dibarba and
A. Savini, editors, 9th International Symposium on Non-linear Electromagnetic Systems - ISEM ’99, volume ?, pages 431–434, Pavia, Italy, 10.-12.May 1999. I O S Press, Amsterdam/ Ohmsha Ltd., Tokyo.
†P90148 ga99aAGottvald.
[520] J. Aguilar and P. Miranda. Resolution of the left ventricle 3D reconstruction problem using approaches
based on genetic algorithm for multiobjective problems. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 913–920, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,
NJ. †CCA84611/99 ga99aAguilar.
[521] A. Kam and A. Cohen. Detection of fetal ECG with IIR adaptive filtering and genetic algorithms. In
Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, pages
2335–2338, Phoenix, AZ, 15.-19. March 1999. IEEE, New York, NY. †P84345 ga99aAKam.
[522] Ayman M. Eldeib, Sameh M. Yamany, and Aly Farag. Multi-modal medical volumes fusion by surface
matching. In ?, editor, Proceedings of the 5th International Symposium on Signal Processing and its
Applications, volume 1, pages 439–442, Brisbane (Australia), 22.-25. August 1999. IEEE. ga99aAMEldeib.
[523] Stefano Cagnoni, A. B. Dobrzeniecki, Riccardo Poli, and J. C. Yanch. Genetic algorithm-based interactive segmentation of 3D medical images. Image and Vision Computing, 17(12):881–895, October 1999.
ga99aCagnoni.
[524] G. B. Williams, B. J. Fisher, C. L. Huang, T. A. Carpenter, and L. D. Hall. Design of biplanar gradient coils
for magnetic resonance imaging of the human torso and limbs. Magnetic Resonance Imaging, 17(5):739–
754, June 1999. * PubMed10372528 ga99aGBWilliams.
[525] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. Feature selection for optimizaed skin
tumor recognition using genetic algorithms. Artificial Intelligence in Medicine, 16(3):283–297, 1999.
†CCA66660/99 ga99aHandels.
[526] Jerry A. Burman. Hybrid pattern recognition method using evolutionary computing techniques applied
to the exploitation of hyperspectral imagery and medical spectral data. In Sebastiano B. Serpico, editor,
Image and Signal Processing for Remote Sensing V, volume SPIE-3871, pages 348–357, ?, December 1999.
The International Society for Optical Engineering. * www/SPIE Web ga99aJABurman.
[527] J. A. W. Mccall and A. Petrovski. A decision-support system for cancer-chemotherapy using genetic
algorithms. In Proceedings of the Computational Intelligence for Modelling, Control & Automation, pages
65–70, Vienna, Austria, 17.-19. February 1999. IOS Press, Amsterdam. †P84322 ga99aJAMccall.
[528] Jagath C. Rajapakse and Bao Guojun. Functional MR image registration using a genetic algorithm. In
Proceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), volume 3,
pages 922–927, ?, 16.-20. November 1999. IEEE, Piscataway, NJ. ga99aJCRajapakse.
Bibliography
97
[529] Kazuhiro Matsui, Yusuke Suganami, and Yukio Kosugi. Feature selection by genetic algorithm for MRI
segmentation. Systems and Computers in Japan, 30(7):69–78, 1999. (Translation from Denshi Joho Tsushin
Gakkai Ronbunshi, Vol. J80-D-II, No. 7, July 1997, pp. 1712-1721) †CCA66636/99 ga99aKazuhiroMatsui
⇒ http://www3.interscience.wiley.com/journal/61500346/abstract?CRETRY=1&SRETRY=0.
[530] Lucia Ballerini. Detection and quantification of diabetic retinopathy. In Andrew G. Tescher, editor,
Applications of Digital Image Processing XXII, volume SPIE-3808, pages 213–223, ?, October 1999. The
International Society for Optical Engineering. * www/SPIE Web ga99aLBallerini.
[531] M. A. Kupinski and M. A. Anastasio. Multiobjective genetic optimization of diagnostic classifiers with
implications for generating receiver operating characteristic curves. IEEE Transactions on Medical Imaging,
18(8):675–685, August 1999. * PubMed10534050 ga99aMAKupinski.
[532] M. Mignotte and J. Meunier. Deformable template and distribution mixture-based data modelling for
endocardial contour tracking in an echograohic. In IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, volume 1, page 230, Fort Collins, CO, USA, 23.-25.June 1999. IEEE,
Piscataway, NJ. * www/IEEE ga99aMMignotte.
[533] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosentengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas P. Rathbun. Method and system for
automated detection of clustered microcalcifications from digital mammograms, 1999. (U. S. patent no.
5,999,639. Issued December 7 1999) * fi.espacenet.com ga99aRPBroussard.
[534] R. P. Velthuizen, L. O. Hall, and L. P. Clarke. Feature extraction for MRI segmentation. J. Neuroimaging,
9(2):85–90, April 1999. * PubMed10208105 ga99aRPVelthuizen.
[535] Rad Rafiee, Hamid Soltanian-Zadeh, Mohammad Rahmati, and Syamak Pour-Abdollah. Microcalcification
classification in mammograms using multiwavelet features. In Michael A. Unser, Akram Aldroubi, and
Andrew F. Laine, editors, Wavelet Applications in Signal and Image Processing VII, volume SPIE-3813,
pages 832–841, ?, October 1999. The International Society for Optical Engineering. * www/SPIE Web
ga99aRRafiee.
[536] S. J. Turner, P. D. Picton, and J. A. Campbell. Selecting filter banks to enhance evoked potentials
recordings using evolutionary algorithms. In Proceedings of the First European Workshops, pages 101–109,
Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag, Berlin (Germany). †CCA84581/99 ga99aSJTurner.
[537] Sameh M. Yamany, Aly A. Farag, David Tazman, and Allan G. Farman. Robust 3D reconstruction system
for human jaw modeling. In Joseph H. Nurre and Brian R. Corner, editors, Three-Dimensional Image
Capture and Applications II, volume SPIE-3640, pages 125–135, ?, March 1999. The International Society
for Optical Engineering. * www/SPIE Web ga99aSMYamany.
[538] V. Pilla Jr and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of P wave of the
ECG. In Proceedings of the Third International Conference on computational Intelligence and Multimedia
Applications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,
Los Alamitos, California. †CCA93085/99 ga99aVPilla.
[539] T. Wanschura, D. A. Coley, W. Vennart, and S. Gandy. Automatic realignment of time-separated
MR images by genetic algorithm. Magnetic Resonance Imaging, 17(2):313–317, February 1999.
*
PubMed10215488 ga99aWanschura.
[540] Yen ting Chen, Kuo sheng Cheng, and Jia kuang Liu. Improving cephalogram analysis through feature
subimage extraction. IEEE Engineering in Medicine and Biology, 18(1):25–31, January/February 1999.
ga99aY-tChen.
¨
[541] Z. Dokur, T. Olmez,
and E. Yazgan. Comparison of discrete wavelet and Fourier transforms for ECG beat
classification. Electronics Letters, 34(18):1502–1504, 2. September 1999. ga99aZDokur.
[542] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, and David Gur. Feature selection
for computerized mass detection in digitized mammograms by using a genetic algorithm. Acad. Radiol.,
6(6):327–332, June 1999. * PubMed10376062 ga99bBZheng.
[543] Fath El Alem Fadlallah Ali, Zensho Nakao, and Yen-Wei Chen. An evolutionary approach to CT image
reconstruction. Bull. Fac. Eng. Univ. Ryukyus (Japan), (57):81–84, 1999. In English †CCA58846/99
ga99bFEAFAli.
[544] Lucia Ballerini. Medical image segmentation using genetic snakes. In Bruno Bosacchi, David B. Fogel, and
James C. Bezdek, editors, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary
Computation II, volume SPIE-3812, pages 13–23, ?, November 1999. The International Society for Optical
Engineering. * www/SPIE Web ga99bLBallerini.
98
Genetic algorithms in medicine
[545] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, and David Gur. Application of Bayesian
belief network in a computer-assisted diagnosis scheme for mass detection. In Kenneth M. Hanson, editor, Medical Imaging 1999: Image Processing, volume SPIE-3661, pages 1553–1561, ?, May 1999. The
International Society for Optical Engineering. * www/SPIE Web ga99cBZheng.
[546] Lucia Ballerini. Genetic snakes for medical images segmentation. In Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications, volume
1596 of LNCS, pages 59–73, Goteburg (Sweden), 26.-27. May 1999. Springer-Verlag, Berlin (Germany).
†CCA84580/99 ga99cLBallerini.
[547] Lucia Ballerini. An automatic system for the analysis of vascular lesions in retinal images. In Proceedings
of the 1999 IEEE Nuclear Science Sympoium, volume 3, pages 1598–1602, ?, 24.-30. October 1999. IEEE,
Piscataway, NJ. ga99dLBallerini.
[548] Torbj¨
orn E. M. Nordling, Janne Koljonen, Josefina Nystr¨
om, Ida Bod´en, Britta Lindholm-Sethson, Paul
Geladi, and Jarmo T. Alander. Wavelength selection by genetic algorithms in near infrared spectra for
melanoma diagnosis. In ?, editor, Proceedings of the 3rd European Medical and Biological Engineering
Conference (EMBEC’05), volume 11, page ?, Prague (Czech Republic), 20.-25. November 2005. IFMBE.
ftp://ftp.uwasa.fi/cs/report05-4/EMBEC2005.pdf gaA:EMBEC05.
[549] Torbj¨
orn E. M. Nordling, Janne Koljonen, Josefina Nystr¨
om, Ida Bod´en, Britta Lindholm-Sethson,
Paul Geladi, and Jarmo T. Alander.
Melanooman diagnosointi spektri¨
a optimoimalla.
In
L¨
a¨
ak¨
arip¨
aivien 2006 Luentotiivistelm¨
at, page 224, Helsinki (Finland), 8.-12. January 2006. Suomen
L¨
a¨
ak¨
ariliitto, Duodecim, Finska L¨
akares¨
allskapet. ftp://ftp.uwasa.fi/cs/report05-4/FinMedPoster.
pdf,FinMedAbs.pdf gaA:LP06.
[550] Latha Parthiban and R. Subramanian. Intelligent heart disease prediction system using CANFIS
and genetic algorithm. International Journal of Biological and Life Sciences, 3(3):157–160, ? 2007.
07aLathaParthiban ⇒ http://www.waset.org/journals/ijbls/v3/v3-3-22.pdf.
[551] G. Distefano, M. Capozza, and N. Accornero. Neural networks trained by a genetic algorithm for visualfield diagnosis. In J. P. Morucci, R. Plonsey, J. L. Coatriex, and S. Laxminarayan, editors, Proceedings
of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 14, pages 1028–1029, Paris, France, 29. October - 1. November 1992. IEEE, New York. †P57332
ga:Accornero92a.
[552] Max Blanchet, Shuji Yoshizawa, and Sun ichi Amari. Modified Kohonen’s self-organizing feature map
and its application to automatic sleep cycle recognition. In IJCNN’93-NAGOYA Proceedings of 1993
International Joint Conference on Neural Networks, volume 3, pages 2476–2479, Nagoya (Japan), 25.29. October 1993. IEEE. †EI M082911/94 ga:Blanchet93a.
[553] Pierre Bonelli and Alexandre Parodi. An efficient classifier system and its experimental comparison with
two representative learning methods on three medical domains. In Richard K. Belew and Lashon B. Booker,
editors, Proceedings of the Fourth International Conference on Genetic Algorithms, pages 288–295, San
Diego, 13.-16. July 1991. Morgan Kaufmann Publishers. ga:Bonelli91.
[554] U. Brudermann. Entwicklung und Anpassung eines vollst¨
andigen Ansteuersystems f¨
ur fremdenergetisch
angetriebene Ganzarmprothesen. Fortschrittsberichte der VDI-Zeitschriften, 17(6):?, ? 1977.
†[6]
ga:Brudermann77.
[555] Steven L. Horner, William Holls, and Paul B. Crilly. Non-invasive fetal electrocardiograph enhancement.
In ?, page ?, 1992. ga:Crilly92b.
[556] P. Kini, Charles C. Peck, and Atam P. Dhawan. Genetic algorithm-based reconstruction in-diffusion tomography. In B. Chance, R. R. Alfano, and A. Katzir, editors, Proceedings of Photon Migration and Imaging
in Random Media and Tissue, volume SPIE-1888, pages 407–419, Los Angeles, CA, 17. -17. January 1993.
The International Society for Optical Engineering. †P59563/94 ga:Dhawan93b.
[557] Mehdi Elketroussi. Relapse from tobacco smoking cessation: Mathematical and computer micro-simulation
modelling including parameter optimization with genetic algorithms. PhD thesis, University of Minnesota,
1993. * DAI V. 54 N. 8 (Feb 94) ga:ElketroussiThesis.
[558] A. V. Sebald and David B. Fogel. Using evolutionary programming for arterial waveform discrimination.
In 1991 International Joint Conference on Neural Networks - IJCNN 91, volume II, pages A–955, Seattle,
WA, 8.-14. July 1991. IEEE, New York. ga:Fogel91f.
[559] Cezary Z. Janikow, H. Cai, and X. Luo. An approximate algorithm for estimating treatment lags from
right censored data. Computers & Mathematics with Applications, 25(12):73–85, December 1993. * CA
5666 Vol. 37 No. 7/8 ga:Janikow93b.
Bibliography
99
[560] Ludmila I. Kuncheva. Genetic algorithm for feature selection for parallel classifiers. Information Processing
Letters, 46(4):163–168, June 1993. * CA 6682 Vol. 37 No. 9/10; EI 133675/93 ACM/93 ga:Kuncheva93a.
[561] R. Lerch. Simulation von Ultraschall-wandlern.
ga:Lerch85a.
ACOUSTICA, 57(?):205–217, 1985.
†BackBib
[562] N. Panayides, C. N. Schizas, C. S. Pattichis, A. Theodosius, and L. T. Middleton. Genetics-based-machinelearning in clinical electromyography. In Teuvo Kohonen, Kai M¨
akisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, Proceedings of the 1991 International Conference on Artificial Neural
Networks (ICANN-91), volume 2, pages 1625–1628, Espoo (Finland), 24.-28. June 1991. North-Holland.
ga:Middleton91.
[563] C. N. Schizas, C. S. Pattichis, and L. T. Middleton. Neural networks, genetic algorithms and the K-means
algorithm: in search of data classification. In J. David Schaffer and Darrell Whitley, editors, COGANN92, International Workshop on Combinations of Genetic Algorithms and Neural Networks, pages 201–222,
Baltimore, MD, 6. June 1992. IEEE Computer Society Press, Los Alamitos, CA. * EEA 70672/93
ga:Middleton92a.
[564] Tim K. Peters, Hans-Eberhard Koralewski, and Ekkehard W. Zerbst. Search for optimal frequencies and
amplitudes of therapeutic electrical carotid sinus nerve stimulation by application of the evolution strategy.
Artificial Organs, 13(2):133–143, 1980. †BackBib ga:Peters80a.
[565] M. N. Narayanan and S. B. Lucas. A genetic algorithm to improve a neural network to predict a patiens
response to Warfarin. Methods of Information in Medicine, 32(1):55–58, February 1993. * MEDLINE
CCA 35734/93 ga:SBLucas93a.
[566] Dorin Picu, R. van Lehndert, Jochen Paul, and Joachim Stender. Evaluation of parallel genetic algorithms
on medical datasets. chapter 4. Applications. 1993. † ga:Stender92c.
[567] Jochen Paul, E. von Goldammer, R. van Leendert, Dorin Picu, Joachim Stender, E. David, and M. Pfotenhauer. Applications of neural networks and genetic algorithms in the diagnosis of cancer, anorexia nervosa
and AIDS. pages 187–214, 1993. †Back/bib/unp ga:Stender93b.
[568] H. G. N¨
urnberg and G. Vossius. The applicability of the evolution strategy to the control of paralyzed
limbs through fes. In ?, editor, Selected Papers from the 10th Triennal World Congress of the International
Federation of Automatic Control, pages 37–43, Munich (Germany), 27.-31. July 1987. ?
†Back/bib
ga:Vossius87a.
[569] Albert Y. C. Fung, K. M. Alektiar, D. A. Silvern, and Marco Zaider. Treatment-plan optimization for softissue sarcoma brachytherapy using a genetic algorithm. Int. J. Radiat. Oncol. Biol. Phys., 47(5):1385–1395,
15. July 2000. * PubMed10889394 ga00aAYFung.
[570] B. Y. Kim and K. S. Park. Automatic sleep stage scoring systems using genetic algorithms and neural
network. In J. D. Enderle, editor, Proceedings of the 2000 Annual International Conference of the IEEE
Engineering in Medicine and Biological Society, volume 2, pages 849–850, Chigaco, IL, USA, 23.-28.July
2000. IEEE, Piscataway, NJ. * www/IEEE ga00aBYKim.
[571] Christopher Neal Chapman. A Genetic Algorithm Method for Discovery of Diagnostics Rules for Psychiatric Disorders. PhD thesis, ?, 2000. (University Microfilms No. AAI9943757) * PsycINFO 2000-95004-420
/DAI 60(8-B):4208 ga00aCNChapman.
[572] David a. Silvern. Apparatus and method for determining optimal locations to place radioactive seeds
at a cancerous site, 2000. (U. S. patent no. 6,095,975. Issued August 1 2000) * fi.espacenet.com
ga00aDASilvern.
[573] Du-Yih Tsai. Comparison of four computer-aided diagnosis schemes for automated discrimination of myocardial heart disease. In Proceedings of ICPS2000, pages 2000–2003, ?, ? 2000. IEEE. ga00aDu-YihTsai.
[574] G. A. Ezzell and L. Gaspar. Application of a genetic algorithm to optimizing radiation therapy treatment
plans for pancreatic carcinoma. Med. Dosim., 25(2):93–97, ? 2000. * PubMed10826688 ga00aGAEzzell.
[575] G. Rovithakis, M. Maniadakis, and M. Zervakis. A genetically optimised artificial neural network structure
for feature extraction and classification of vascular tissue fluorescence. In V. Cantoni and C. Guerra, editors,
Fifth IEEE International Workshop on Computer Architectures of Machine Perception, volume ?, pages
107–111, Padova, Italy, 11.-13.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aGRovithakis.
[576] John H. Holmes, Dennis R. Durbin, and Flaura K. Winston. The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artificial Intelligence in
Medicine, 19(1):53–74, May 2000. ga00aJHHolmes.
100
Genetic algorithms in medicine
[577] P. A. Bath, N. Pendleton, K. Morgan, J. E. Clague, M. A. Horan, and S. B. Lucas. New approach to
risk determination: development of risk profile for new falls among community-dwelling older people by
using of a Genetic Algorithm Neural Network (GANN). J. Gerontol. A. Biol. Sci. Med. Sci., 55(1):17–21,
January 2000. * PubMed10719768 ga00aPABath.
[578] P. C. W. Beatty, A. Pohlmann, and T. Dimarki. Shape-only identification of breathing system failure. In
Proceedings of the 2nd Annual International Conference of the IEEE Engineering in Medicine and Biology
Society, volume 2, pages 982–984, Chigago, IL, 23.-26. July 2000. IEEE, Piscataway, NJ. * www /IEEE
ga00aPCWBeatty.
[579] Carlos Andr´es Pe˜
na-Reyes and Moshe Sipper. Evolutionary computation in medicine: an overview. Artificial Intelligence in Medicine, 19(?):1–23, ? 2000. ga00aPena-Reyes ⇒ www.cs.bgu.ac.il/∼sipper/
papabs/evomed.pdf.
[580] P. Tapadar, S. Ghosh, and P. P. Majumder. Haplotyping in pedigrees via a genetic algorithm. Hum.
Hered., 50(1):43–56, January-February 2000. * PubMed10545757 ga00aPTapadar.
[581] Sabbir U. Ahmad, A. Rahim Leyman, Lim Chong Jen, and Er Meng Hwa. A hybrid optimization approach for the inverse problem of radiotherapy. In ?, editor, Proceedings of the 22nd Annual EMBS
International Conference, volume ?, pages 3096–3099, Chicago, IL, 23.-28. July 2000. IEEE, Piscataway,
NJ. ga00aSUAhmad.
[582] S. Vinterbo and L. Ohno-Machado. A genetic algorithm approach to multi-disorder diagnosis. Artificial
Intelligence in Medicine, 18(2):117–132, February 2000. * PubMed10648846 ga00aSVinterbo.
[583] V. Podgorelec, J. Brest, and P. Kokol. Power of heterogeneous computing as a vehicle for implementing E3
medical decision support systems. Int. J. Med. Inf., 58-59(?):179–190, September 2000. * PubMed10978920
ga00aVPodgorelec.
[584] Xingen Wu, Yunping Zhu, Jianrong Dai, and Zunliang Wang. Selection and determination of beam weights
based on genetic algorithms for conformal radiotherapy treatment planning. Physics in Medicine & Biology,
45(9):2547–2558, September 2000. ga00aXingenWu.
[585] Y. Yu, J. B. Zhang, G. Cheng, M. C. Schell, and P. Okunieff. Multi-objective optimization in radiotherapy:
applications to stereotatic radiosurgery and prostate brachytherapy. Artificial Intelligence in Medicine,
19(1):39–51, May 2000. * PubMed10767615 ga00aYYu.
[586] D. Devogelaere, P. Van Bael, and M. Rijckaert. Genetic algorithm driven clustering for toxicity prediction.
In R. J. Howlett and L. C. Jain, editors, Fourth International Conference on Knowledge-based Intelligent
Engineering Systems and Allied Technology, volume 1, pages 173–176, Brighton, UK, 30. August-1. September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00bDDevogelaere.
[587] Carlos Andr´es Pe˜
na-Reyes and Moshe Sipper. Applying fuzzy CoCo to breast cncer diagnosis. In Darrell
Whitley, David E. Goldberg, Erick Cant´
u-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), volume 2,
pages 1168–1175, Las Vegas, CA, 10.-12. July 2000. Morgan Kaufmann Publishers, San Francisco, CA.
ga00bPena-Reyes.
[588] Vitorino Ramos and Fernando Muge. Image color segmentation by genetic algorithm. In Aur´elio C.
Campilho and A. M. Mendon¸ca, editors, RecPad’2000, 11th Portuguese Conference on Pattern Recognition,
pages 125–129, Porto (Portugal), 11.-12. May 2000. ? ga00bVitorinoRamos.
[589] Chan G. Koh, C. Y. Liaw, and Y. Chen. Hybrid global-local identification for structural health monitoring. In Tribikram Kundu, editor, Advanced Nondestructive Evaluation for Structural and Biological
Health Monitoring, volume SPIE-4335, pages 174–179, ?, July 2001. The International Society for Optical
Engineering. * www/SPIE Web ga01aCGKoh.
[590] D. A. Linkens and M. Mahfouf. The intelligent systems in biomedicine laboratory in the Department of
Automatic Control and Systems Engineering at the University of Sheffield, UK. Artificial Intelligence in
Medicine, 21(1-3):171–176, January-March 2001. ga01aDALinkens.
[591] Erna L. Kentala, Jorma Laurikkala, Kati Viikki, Yrj¨
o Auramo, Martti Juhola, and Ilmari V. Pyykk¨
o. Experiances of otoneurological expert system for vertigo. Scandinavian Audiology, 30(1):90–91, ? 2001. * www
/Google ga01aELKentala ⇒ http://informahealthcare.com/doi/abs/10.1080/010503901300007182.
[592] F. Vico, S. Burrezo, C. Polifeme, G. Garg´ıa-Herrera, and J. Farf´
an. Knee surgery planning with genetic
algorithms and neural networks. In ?, editor, Proceedings of the 4th International Conference on Neural
Networks and Expert Systems in Medicine and Healthcare (NNESMED2001), pages 335–340, Milos Island
(Greece), 20.-22. June 2001. ? ga01aFVico.
Bibliography
101
[593] Jim Torresen. Two-step incremental evolution of a digital logic gate based prosthetic hand controller. In ?,
editor, Evolvable Systems: From Biology to Hardware, Proceedings of the Fourth International Conference
(ICES’01), volume ? of Lecture Notes in Computer Science, page ? Springer-Verlag, Berlin, ? 2001.
†Torresen ga01aJimTorresen.
[594] Jaap Vaarkamp. Comment on genetic and global algorithms for optimization of three-dimensional conformal radiotherapy treatment planning. Phys. Med. Biol., 46(6):L1–L3, June 2001.
†www /IoP
ga01aJVaarkamp.
[595] M. F. Jefferson, S. Burlinson, A. Burns, D. Mann, S. Pickering-Brown, F. Owen, C. Sriwardhana, N. Pendleton, and M. A. Horan. Clinical features of dementia associated with apolipoprotein epsilon4: Discrimination with a neural network genetic algorithm. International Journal of Geriatric Psychiatry, 16(1):77–81,
January 2001. * ISI PsycINFO 2001-14382-009 ga01aMFJefferson.
[596] Marcel Volmer. Infrared spectroscopy in clinical chemistry, using chemometric calibration techniques. PhD
thesis, Rijksuniversiteit Groningen, 2001. ga01aMVolmer.
[597] Paulo A. da Costa Filho and Ronei J. Poppi. Determination of triglycerides in human plasma using nearinfrared spectroscopy and multivariate calibration methods. Analytica Chimica Acta, 446(?):39–47, ? 2001.
ga01aPAdaCostaFilho.
[598] Carlos Andr´es Pe˜
na-Reyes and Moshe Sipper. Fuzzy CoCo: A cooperative-coevolutionary approach to
fuzzy modeling. IEEE Transactions on Fuzzy Systems, 9(5):727–737, October 2001. ga01aPena-Reyes.
[599] S. Burrezo, A. Garc´ıa, F. Vico, G. Garg´ıa-Herrera, J. Garrido, and J. Farf´
an. Hip surgery planning from
preoperative radiographs. In ?, editor, Proceedings of the 4th International Conference on Neural Networks
and Expert Systems in Medicine and Healthcare (NNESMED2001), pages 121–125, Milos Island (Greece),
20.-22. June 2001. ? ga01aSBurrezo.
[600] Shinchi Sakamoto, Masahiro Watanabe, and Hideyuki Takagi. Optimum solution method, hearing aid
fitting apparatus utilizing the optimum solution method, and system optimization adjusting method and
apparatus, 2001. (U. S. patent no. 2001005420. Issued June 28 2001) * fi.espacenet.com ga01aSSakamoto.
[601] Thomas Dandekar, Fuli Du, R. Heiner Schirmer, and Steffen Schmidt. Medical target prediction from
genome sequence: combining different sequence analysis algorithms with expert knowledge and input from
artificial intelligence approaches. Computers & Chemistry, 26(1):15–21, December 2001. †www /Elsevier
ga01aTDandekar.
[602] Xingen Wu and Yunping Zhu. An optimization method for importance factors and beam weights based on
genetic algorithms for radiotherapy treatment planning. Physics in Medicine and Biology, 46(4):1085–1099,
April 2001. ga01aXingenWu.
[603] Yan Yu. Prostate implant planning engine for radiotherapy, 2001. (U. S. patent no. 6,200,255. Issued
March 13 2001) * fi.espacenet.com ga01aYYu.
[604] A. Bevilacqua, R. Campanini, and N. Lanconelli. Optimization of a distributed genetic algorithm on a
cluster of workstations for the detection of microcalcifications. International Journal of Modern Physics
C, 12(1):55–70, January 2001. †NASA ADS ga01bBevilacqua.
[605] Christian Igel and Werner von Seelen. Design of a field model for early vision: A case study of evolutionary
algorithms in neuroscience. In 28th G¨
ottingen Neurobiology Conference, page 1034, G¨
ottingen (Germany),
? 2001. George Thieme Verlag. ga01bChristianIgel.
[606] Xingen Wu and Yunping Zhu. Reply to comment on genetic and global algorithms for optimization of
three-dimensional conformal radiotherapy treatment planning’. Phys. Med. Biol., 46(6):L3–L5, June 2001.
†www /IoP ga01bXingenWu.
[607] A. V. Adamopoulos, P. A. Anninos, E. N. Demiris, S. D. Likotjannasis, and G. N. Beligiannis. Evolutionary
multimodel analysis of the fetal magnetocardiogram. pages 305–310, 2002. ga02aAVAdamopoulos.
[608] Bert-Uwe K¨
ohler, Carsten Hennig, and Reinhold Orglmeister. The principles of software QRS detection.
IEEE Engineering in Medicine and Biology, 21(1):42–57, January-February 2002. ga02aB-UKohler.
´
[609] Carlos Andr´es Pe˜
na-Reyes. Coevolutionary Fuzzy Modeling. PhD thesis, Ecole
Polytechnique F´ed´erale de
Lausanne, Section d’informatique, 2002. * www /ResearchIndex ga02aCAPena-Reyes.
[610] E. A. Durant. Hearing Aid Fitting with Genetic Algorithms. PhD thesis, University of Michigan, 2002.
†[?] ga02aEADurant.
102
Genetic algorithms in medicine
[611] Miguel A. Padilla Casta˜
neda and Fernando Ar´
ambula Cos´ıo. Resection simulation with local tissue deformations for computer assisted surgery of the prostate. In Carlos A. Coello Coello, A. de Albornoz, L. E.
Sucar, and O. C. Battistutti, editors, MICAI 2002: Advances in Artificial Intelligence, Second Mexican
International Conference on Artificial Intelligence, volume LNAI of 2313, pages 450–459, Merida, Yucatan
(Mexico), 22.-26. April 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aMAPCastaneda.
[612] M. Lahanas, N. Milickovic, M. Papagiannopoulou, D. Baltas, N. Zamboglou, and K. Karouzakis. Application of a hybrid version of NSGA-II for multiobjective dose optimization in brachytherapy. pages 299–304,
2002. ga02aMLahanas.
[613] Maria Popa, Moise Achim, Maria Jitaru, and Ioan Ileanˇ
a. Study regarding the metabolism of heavy metals
in the organism of children in an intense polluted area. pages 57–61, 2002. ga02aMPopa.
[614] N. Milickovic, M. Lahanas, M. Papagiannopoulou, D. Baltas, N. Zamboglou, and K. Karouzakis. Application of multiobjective genetic algorithms in anatomy based dose optimization in brachytherapy and its
comparation with deterministic algorithms. pages 293–298, 2002. ga02aNMilickovic.
[615] S. A. Thompson, Albert Y. C. Fung, and Marco Zaider. Optimal needle arrangement for intraoperative
planning in permanent I-125 prostate implants. Physics in Medicine and Biology, 47(?):N209–N215, ?
2002. †www /IOP ga02aSAThompson.
[616] Stephen Swift and Xiaohui Liu. Predicting glaucomatous visual field deterioration through short multivare
time series modelling. Artificial Intelligence in Medicine, 24(1):5–24, January 2002. †www /Elsevier
ga02aSSwift.
[617] Temei Li and Shahram Payandeh. Design of spherical parallel mechanisms for application to laparoscopic
surgery. Robotica, 20(?):133–138, ? 2002. ga02aTemeiLi ⇒ http://portal.acm.org/citation.cfm?id=
978902.
[618] A. V. Adamopoulos, P. A. Anninos, E. N. Demiris, S. D. Likotjannasis, and G. N. Beligiannis. Evolutionary
self-adaptive multimodel prediction algorithms of the fetal magnetocardiogram. In Proceedings of the 14th
International Conference on Digital Signal Processing (DSP 2002), volume 2, pages 1149–1152, ?, 1.-3. July
2002. IEEE, Piscataway, NJ. ga02bAVAdamopoulos.
[619] Aleksandr Y. Sedykh. Studies in applied computational chemistry: META model of photochemical reactions
under UV under natural conditions and an MCASE approach to the search of a cure for Parkinson’s disease.
PhD thesis, Case Western Reserve University, 2003. * www /UMI ga03aAYSedykh.
[620] Celia C. Bojarczuk, Heitor S. Lopes, and Alex A. Freitas. An innovative application of a constrained-syntax
genetic programming system to the problem of predicting survival of patients. In Conor Ryan, Terence
Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, editors, Genetic programming,
6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science,
pages 11–21, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin. ga03aCCBojarczuk.
[621] C. Cotrutz and L. Xing. Segment-based dose optimization using a genetic algorithm. Phys Med Biol,
48(18):2987–2998, 21. September 2003. * PubMed ga03aCCotrutz ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/14529206.
[622] James Cunha Werner and Tatiana Kalganova. Disease modeling using evolved discriminate function.
In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science, pages 465–474, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin.
ga03aJCWerner.
[623] Laetitia Jourdan, Clarisse Dhaenens-Flipo, and El-Ghazali Talbi. Discovery of genetic and environmental
interactions in disease data using evolutionary computation. In Gary B. Fogel and David W. Corne,
editors, Evolutionary Computation in Bioinformatics, pages 297–316. Morgan Kaufmann Publishers, New
York, 2003. †TKKpaa ga03aLaetitiaJourdan.
[624] Lucia Ballerini and L. Bocchi. Multiple genetic snakes for bone segmentation. In Raidl et al, editor,
Applications of Evolutionary Computing, volume 2611 of LNCS, pages 346–356, Essex (UK), 14.-16. April
2003. Springer-Verlag, Berlin. †www /Ballerini ga03aLBallerini.
[625] M. A. Padilla Casta˜
neda and F. Ar´
ambula Cos´ıo. Computer simulation of prostate resection for surgery
training. In Proceedings of the 25th Annual International Conference of the IEEE EMBS, volume ?, pages
1152–1155, Cancun (Mexico), 17.-21. September 2003. IEEE, Piscataway, NJ. ga03aMAPadillaCastaneda.
[626] Pengpeng Zhang, Jackie Wu, David Dean, Lei Xing, Jinyue Xue, Robert Maciunas, and Claudio Sibata. Optimization of gamma knife treatment planning via guided evolutionary simulated annealing. International
Journal of Radiation Oncology*Biology*Physics, 55(2):420–427, 1. February 2003. ga03aPengpengZhang
⇒ http://www.ncbi.nlm.nih.gov/pubmed/12527055.
Bibliography
103
[627] Alejandro Garcia-Uribe, Nasser Kehtamavaz, Guillermo Marquez, Victor Prieto, Madeleine Duvic, and
Lihong V. Wang. Skin cancer detection by spectroscopic oblique-incidence reflectometry: classification
of physiological origins. Applied Optics, 43(13):2643–2650, 1. May 2004. ga04aAGarcia-Uribe ⇒ http:
//www.opticsinfobase.org/ao/abstract.cfm?id=79686.
[628] A. Townsend Peterson, Ricardo Scachetti Pereira, and Vera Fonseca de Camargo Neves. Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species. Revista da Sociedade
Brasileira de Medicina Tropical, 37(?):10–14, January/February 2004. ga04aATPeterson.
[629] Carlos Andr´es Pe˜
na-Reyes. Evolutionary fuzzy modeling human diagnostic decisions. Annals of the New
York Academy of Sciences, 1020(?):190–211, ? 2004. †www /ISI ga04aCAPena-Reyes.
[630] Ichiro Taga, Akio Funakubo, T. Higami, T. Kawamura, and Yasuhiro Fukui. Design and development of
an artificial implantable lung using multiobjective genetic algorithm (MOGA). ASAIO Journal, 50(2):153,
March-April 2004. * AHA ga04aIchiroTaga.
[631] Ken Susanto and Bingen Yang. Genetic algorithm based optimization design of miniature piezoelectric
forceps. In Proceedings of the 2004 IEEE International Conference on Robotics & Automation, volume ?,
pages 1358–1363, New Orleans, LA, April 2004. IEEE, Piscataway, NJ. ga04aKenSusanto.
[632] T. Woo, G. Palafox, B. Diong, and R. Wicker. Parameter estimation by descent and genetic algorithm
methods of an in-vitro stenosis bypass model. In ?, editor, Proceedings of the 26th Annual International
Conference of the IEEE EMBS, volume ?, pages 3749–3752, San Francisco, CA, 1.-5. September 2004.
IEEE. †www /Google ga04aTWoo.
[633] Yongjie Li, J. Yao, and D. Z. Yao. Automatic beam angle selection in IMRT planning using genetic algorithm. Physics in Medicine and Biology, 49(10):1915–1932, May 2004. * www /PubMed ga04aYongjieLi
⇒ http://www.ncbi.nlm.nih.gov/pubmed.
[634] Bahram Hemmateenejad. Optimal QSAR analysis of the carcinogenic activity of drugs by correlation ranking and genetic algorithm-based PCR. Journal of Chemometrics, 18(?):475–485, ? 2004.
ga04bBHemmateenejad.
[635] Andrei Petrovski and John McCall. Smart problem solving environment for medical decision support.
In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation
(GECCO-05), pages 152–158, Washington, D.C., 25.-26. June 2005. ACM, New York. ga05aAPetrovski.
[636] A. Townsend Peterson, Carmen Mart´ınez-Campos, Yoshinori Nakazawa, and Enrique Mart´ınez-Meyer.
Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue
cases. Transactions of the Royal Society of Tropical Medicine and Hygiene, 99(9):647–655, September
2005. ga05aATPeterson.
[637] B. Gal, I. Vasanyi, and G. Kozmann. A novel artificial intelligence method for weekly dietary menu
planning. Methods of Information in Medicine, 44(1):655–664, ? 2005. * www /TKK).*abstract onl
ga05aBGal.
[638] Cesar Angeletti, Neal R. Harvey, Vitali Khomitch, Andrew H. Fischer, Richard M. Levenson, and David L.
Rimm. Detection of malignancy in cytology speciments using spectral-spatial analysis. Laboratory Investigations, 85(?):1555–1564, ? 2005. * www /Nature ga05aCAngeletti.
[639] C. Bourgeois-Republique, Bruno Frachet, and Pierre Collet. Using an interactive evolutionary algorithm to
help fitting a cochlear implant. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Genetic
and Evolutionary Computation (GECCO-05), pages 133–139, Washington, D.C., 25.-26. June 2005. ACM,
New York. ga05aCBourgeois-Republique.
[640] Chong Chiet Sing, Lee Heow Pueh, and A. Senthil Kumar.
Automatic hole repairing for cranioplasty using B´ezier surface approximation.
Journal of Craniofacial Surgery,
16(6):1076–1084, November 2005.
* www /Google
ga05aCCSing ⇒ http://www.
jcraniofacialsurgery.com/pt/re/jcransurg/abstract.00001665-200511000-00023.htm;jsessionid=
Lh7W4RYGp6djD1nPW3lpFsCzpFnCjklsZrX6QRjZsyBYcqxhsnqV!1379360954!181195629!8091!-1.
[641] Chika Maeda, Syoji Kobashi, Nao Shibanuma, Katsuya Kondo, and Yutaka Hata. 3D strain detection
of a support implant for an artificial hip joint using finite element method and genetic algorithm. In
Proceedings of the 2005 Digital Image Computing: Techniques and Applications, DICTA’05, pages 23–, ?,
6.-8. December 2005. IEEE, Piscataway, NJ. ga05aChikaMaeda.
[642] Chit Siang Soh, Kok Meng Ong, and P. Raveendran. Variable selection using genetic algorithms for analysis
of near-infrared spectral data using partial least squares. In Proceedings of the 27th Annual 2005 IEEE
International Conference on Engineering in Medicine and Biology, pages 1178–1181, Sanghai (China),
1.-4. September 2005. IEEE, Piscataway, NJ. ga05aChitSiangSoh.
104
Genetic algorithms in medicine
[643] C. R. Stephens, H. Waelbroeck, and S. Talley. Predicting healthcare costs using GAs. In Franz Rothlauf,
editor, Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation (GECCO-05), pages
159–163, Washington, D.C., 25.-26. June 2005. ACM, New York. ga05aCRStephens.
[644] Fabio Pace, Massimo Buscema, Patrizia Dominici, Marco Intraligi, Fabio Baldi, Renzo Cestari, Sandro
Passaretti, Gabriele Bianchi Porro, and Enzo Grossi. Artificial neural networks are able to recognize gastrooesophageal reflux disease patients solely on the basis of clinical data. European Journal of Gastroenterology
& Hepatology, 17(6):605–610, June 2005. * AHA ga05aFabioPace.
[645] Gregory H. Wakefield, Chris van den Honert, Wendy Parkinson, and Sean Lineaweaver. Genetic algorithms for adaptive psychophysical procedures: recipient-directed design of speech-processor MAPs. Ear
& Hearing, 26(4):Supplement: 57S–72S, August 2005. * AHA ga05aGHWakefield.
[646] Ichiro Taga, Akio Funakubo, and Yasuhiro Fukui. Design and development of an artificial implantable
lung using multiobjective genetic algorithm: Evaluation of gas exchange performance. ASAIO Journal,
51(1):92–102, January-February 2005. * AHA ga05aIchiroTaga.
[647] Ivar Siccama and Maarten Keijzer. Genetic programming as a method to develop powerful predictive
models for clinical diagnosis. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Genetic
and Evolutionary Computation (GECCO-05), pages 164–166, Washington, D.C., 25.-26. June 2005. ACM,
New York. ga05aIvarSiccama.
[648] Jane Jijun Liu, Gene Cutler, Wuxiong Li, Zheng Pan, Sihua Peng, Tim Hoey, Liangbiao Chen, and
Xuefeng Bruce Ling. Multiclass cancer classification and biomarker discovery using GA-based algorithms.
Bioinformatics, 21(11):2691–2697, 1. June 2005. * www /ingenta ga05aJaneJijunLiu.
[649] J. Q. Brown and M. J. Shane. Optimal design of nanoengineered implantable optical sensors using a genetic
algorithm. In Proceedings of the 26th Annual International Conference of the IEEE EMBS, volume ?, pages
2105–2108, San Francisco, CA, 1.-5. September 2004. IEEE, Piscataway, NJ. ga05aJQBrown.
[650] Kirsten Elisabeth Kramer. Improving the Robustness of Multivariate Calibration Models for the Determination of Glucose by Near-Infrared Spectroscopy. PhD thesis, The University of Iowa, 2005. * www
/Google ga05aKEKramer.
[651] Kexin Xu, Qingjun Qiu, Jingying Jiang, and Xiuyan Yang. Non-invasive glucose sensing with nearinfrared spectroscopy enhanced by optical measurement conditions reproduction technique. Optics and
Laser Engineering, 43(10):1096–1106, October 2005. ga05aKexinXu.
[652] Katarzyna St¸apor and Adrian Brueckner. Mean shift segmentation, genetic algorithms and support vector
machines for identification of glaucoma in fundus eye images. In ?, editor, Proceedings of the 4th International Conference on Computer Recognition Systems CORES’05, volume 30/2005 of Engineering, pages
679–685, ?, ? 2005. Springer-Verlag, Heidelberg. †www /Springer ga05aKStapor.
[653] Louise C. Kenny, Warwick B. Dunn, David I. Ellis, Jenny Myers, Philip N. Baker, and Douglas B. Kell.
Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning. Metabolomics,
1(3):227–234, July 2005. ga05aLCKenny.
[654] Lova Carlsson and Lena Krantz. Optimization of beam orientation in intensity modulated radiation
therapy using a genetic algorithm. Master’s thesis, Chalmers University of Technology, Department of
Mathematics, 2005. ga05aLovaCarlsson.
[655] M. Grujicic, C. L. Chao, and E. M. Austin. Optimization of a piezoelectric bimorph grasper for use in
minimally invasive surgical applications. Proceedings of the Institution of Mechanical Engineers, Part B:
Journal of Engineering Manufacture, 219(9):673–683, ? 2005. * www /Google ga05aMGrujicic.
[656] Peter A. N. Bosman and Tanja Alderliesten. Evolutionary algorithms for medical simulations - a case study
in minimally-invasive vascular interventions. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops
on Genetic and Evolutionary Computation (GECCO-05), pages 125–132, Washington, D.C., 25.-26. June
2005. ACM, New York. ga05aPANBosman.
ˇ
[657] Petra Zohara,
Miha Kovaˇciˇc, Miran Brezocnik, and Matej Podbregar. Prediction of maintenance of sinus
rhythm after electrical cardioversion of atrial defibrillation by non-deterministic modelling. Europace,
7(5):500–507, September 2005. †www /Europage ga05aPZohara.
[658] Taane G. Clark, Maria De Iorio, Robert C. Griffiths, and Martin Farrall. Finding associations in dense
genetic maps: A genetic algorithm approach. Human Feredity, 60(2):97–108, ? 2005. ga05aTaaneGClark.
[659] Aysun Co¸skun.
Identification of Quotients of Penetration of Chemicals Through Skin and
Molecular Structure by Using Genetic Algorithms.
PhD thesis, Gazi University, Institute
of Science and Technology, 2006.
* ga06aACoskun ⇒ http://www.belgeler.com/blg/kx8/
genetik-algoritma-kullanilarak-kimyasal-maddelerin-deriden-gecis-katsayilarinin-ve-molekul-yapilarinin-bulu
Bibliography
105
[660] Ahmad S. Khalil, Brett E. Bouma, and Mohammad R. Kaazempur Mofrad. A combined FEM/genetic
algorithm for vascular soft tissue elasticity estimation. Cardiovascular Engineering, 6(3):95–104, September
2006. ga06aASKhalil.
[661] B. Roland, C. Di Martinelly, and F. Riane. Operating theatre optimization: A resource-constrained based
solving approach. In ?, editor, Proceedings of the International Conference on Service Systems and Service
Management, page ?, ?, ? 2006. ? †[690] ga06aBRoland.
[662] C. B. Roberts, J. A. Best, and K. J. Suter. Dendritic processing of exitatory synaptic input in hypothalamic
gonadotropin releasing-hormone neurons. Endocrinology, 147(3):1545–1555, ? 2006. ga06aCBRoberts.
[663] Ching-Chi Hsu, Ching-Kong Chao, Jaw-Lin Wang, and Jinn Lin. Multiobjective optimization of tibial locking screw design using a genetic algorithm: evaluation of mechanical performance. Journal of Orthopaedic
Research, 24(?):908–916, ? 2006. ga06aChing-ChiHsu.
[664] Chiet Sing Chong, HeowPueh Lee, and A. Senthil Kumar. Automatic hole repairing for cranioplasty
using B´ezier surface approximation. Journal of Craniofacial Surgery, 17(2):344–352, March 2006. * www
/Google ga06aCSChong ⇒ http://ntrs.nasa.gov/search.jsp?R=534172&id=3&qs=N%3D4294822060.
[665] D. Desai, C. R. Ramsey, M. Breinig, and S. L. Mahan. A topographic leaf-sequencing algorithm for
delivering intensity modulated radiation therapy. Med Phys, 33(8):2751–2756, August 2006. * PubMed
ga06aDDesai ⇒ http://www.ncbi.nlm.nih.gov/pubmed/16964850.
[666] H. Fei, N. Meskens, and C. Chu. An operating theatre planning and scheduling problem in the case of
a block scheduling strategy. In ?, editor, Proceedings of the International Conference on Service Systems
and Service Management, page ?, ?, ? 2006. ? †[690] ga06aHFei.
[667] Isamu Kajitani, Masaya Iwata, and Tetsuya Higuchi. Ch. 3. a GA hardware engine and its applications.
pages 41–63. 2006. ga06aIsamuKajitani.
[668] Jason Kenna Blackburn. Evaluating the Spatial Ecology of Anthrax in North America: Examining Epidemiological Components Across Multiple Geographic Scales Using a GIS-Based Approach. PhD thesis,
Louisiana State University, Graduate Faculty, 2006. ga06aJKBlackburn.
[669] Katarzyna St¸apor. Support vector clustering algorithm for identification of glaucoma in ophthalmology.
Bulletin of the Polish Academy of Sciences, Technical Sciences, 54(1):139–141, ? 2006. ga06aKStapor.
[670] Manami Nakano, Ichiro Taga, Toshiyuki Yaguchi, Akio Funakubo, and Yasuhiro Fukui. Study on optimization of heat exchanger for oxygenator using multi-objective genetic algorithm (MOGA). ASAIO
Journal, 52(2):64A, March-April 2006. * AHA ga06aManamiNakano.
[671] Mingfeng Jiang, Ling Xia, and Guofa Shou. The use of genetic algorithms for solving the inverse problem
of electrocardiography. In Proceedings of the 28th IEEE EMBS Annual International Conference, pages
3907–3910, New York City, 30. August- 3. September 2006. IEEE, Piscataway, NJ. ga06aMingfengJiang.
[672] Syoji Kobashi, N. Shibanuma, Katsuya Kondo, M. Kurosaka, and Yutaka Hata. Deformation analysis
of in-vivo implant for total hip arthroplasty using multidetector-row CTBLimages. In Proceedings of the
Annual Meeting of North American Fuzzy Information processing Society NAFIPS 2006, pages 570–575,
?, 9.-14. July 2006. IEEE, Piscataway, NJ. ga06aSKobashi.
[673] A. G. Canseven, G. Tohumoglu, A. Cevik, and N. Seyhan. Formulation of low intensity direct current effects
on wound healing of skin using genetic programming. In Proceedings of the 2007 15th International Conference on Digital Signal Processing, pages 507–510. IEEE, Piscataway, NJ, 1.-4. July 2007. ga07aAGCanseven
⇒
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4288630&contentType=
Conference+Publications&searchField%3DSearch All%26queryText%3Dwound+healing.
[674] A. W. Sweeney, N. W. Beebe, and R. D. Cooper. Analysis of environmental factors influencing the range of
anopheline mosquitoes in northern Australia using a genetic algorithm and data mining methods. Ecological
Modelling, 203(3):375–386, May 2007. ga07aAWSweeney.
[675] Cynthia Arslanian-Engoren and Milo C. Engoren. Using a genetic algorithm to predict evaluation of acute coronary syndromes. Nursing Research, 56(2):82–88, March-April 2007.
* AHA
ga07aCArslanian-Engoren.
[676] Deniz Baskent, Cheryl L. Eiler, and Brent Edwards. Using genetic algorithms with subjective input from
human subjects: Implications for fitting hearing aids and conclear implants. Ear & Hearing, 28(3):370–380,
June 2007. * AHA ga07aDBaskent.
[677] Davide Zerbato, Stefano Galvan, and Paolo Fiorini. Calibration of mass spring models for organ simulations. In Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems,
pages 370–375, San Diego, CA, 29. October- 2. November 2007. IEEE, Piscataway, NJ. ga07aDZerbato.
106
Genetic algorithms in medicine
[678] Francesco Archetti, Stefano Lanzeni, Enza Messina, and Leonardo Vanneschi. Genetic programming for
computational pharmacokinetics in drug discovery and development. Genetic Programming and Evolvable
Machines, 8(4):413–432, December 2007. ga07aFArchetti ⇒ http://www.springerlink.com/content/
k574t0p244114q04/.
[679] F´
abio Saito Monteiro de Barros, Ducin´eia Barros de Aguiar, Maria Goreti Rosa-Freitas, Jos´e Francisco Luitgards-Moura, Helen da Costa Gurgel, Nildimar Alves Hon´
orio, M´ercia Eliane de Arruda, Pantelis Tsouris, and Sim˜
ao Dias Vasconcelos. Distribution summaries of malaria vectors in the northern Brazilian Amazon. Journal of Vector Ecology, 32(2):161–167, December 2007. * www /Google
ga07aFSMonteirodeBarros.
[680] J. David Schaffer and Mark R. Simpson. Genetic algorithms for optimization of genome-based medical
diagnostic tests, 2007. 26th July 2007: #20070172828 ga07aJDSchaffer.
[681] Jason K. Blackburn, Kristina M. McNyset, Andrew Curtis, and Martin E. Hugh-Jones. Modeling the
geographic distribution of bacillus anthraxis, the causative agent of anthrax disease, for the contiguous
Unide States using predictive ecological niche modeling. Am. J. Trop. Hyg., 77(6):1103–1110, ? 2007.
ga07aJKBlackburn.
[682] Karl Doerner, Axel Focke, and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcare
facilities in a developing country. European Journal of Operational Research, 179(?):1078–1096, ? 2007.
ga07aKarlDoerner.
[683] M. A. Rosenman and N. Preema. Plastic surgery and genetic re-engineering in evolutionary design. In
?, editor, Proceedings of the 8th WSEAS International Conference on Evolutionary Computing, pages
333–341, Vancouver, BC (Canada), 19.-21. June 2007. WSEAS. ga07aMARosenman.
[684] Maria Goreti Rosa-Freitas, Pantelis Tsouris, A. Townsend Peterson, Nildimar Alves Honørio, F´
abio Saito
Monteiro de Barros, Ducin´eia Barros de Aguiar, Helen da Costa Gurgel, M´ercia Eliane de Arruda, Sim˜
ao
Dias Vasconcelos, and Jos´e Francisco Luitgards-Moura. An ecoregional classification for the state of
Roraima, Brazil.The importance of landscape in malaria biology. Mem. Inst. Oswaldo Cruz, 102(3):349–
357, June 2007. ga07aMGoretiRosa-Freitas.
[685] Meron Gurkiewicz and Alon Korngreen. A numerical approach to ion channel modelling using whole-cell
voltage-clamp recordings and a genetic algorithm. PLoS Computational Biology, 3(8):1633–1647, August
2007. ga07aMGurkiewicz.
[686] Mark Q. Benedict, Rebecca S. Levine, William A. Hawley, and L. Philip Lounibos. Spread of the tiger:
Global risk of invasion by the mosquito aedes albopictus. Vector Borne Zoonotic Diseases, 7(1):76–85, ?
2007. ga07aMQBenedict.
[687] Pierrick Legrand, Claire Bourgeois-Republique, Vincent P´ean, Esther Harboun-Cohen, Jacques LevyVehel, Bruno Frachet, Evelyne Lutton, and Pierre Collet. Interactive evolution for cochlear implants
fitting. Genetic Programming and Evolvable Machines, 8(4):319–354, December 2007. ga07aPLegrand ⇒
http://www.springerlink.com/content/k574t0p244114q04/.
[688] Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule, and Richard Wells. Stochastic optimization of a biologically plausible spino-neuromuscular system model, a comparison with human subjects. Genetic Programming and Evolvable Machines, 8(4):355–380, December 2007. ga07aSGotshall ⇒
http://www.springerlink.com/content/x071780j42017846/.
[689] Stephen L. Smith and Stefano Cagnoni. Introduction to the special issue on medical applications of genetic
and evolutionary computation. Genetic Programming and Evolvable Machines, 8(4):297–299, December
2007. ga07aSLSmith ⇒ http://www.springerlink.com/content/g572g44n880h2274/.
[690] Brecht Cardoen, Erik Demeulemeester, and Jeroen Beli¨en. Operating room planning and scheduling: A
literature review. report KBI 0807, Katholieke Universiteit Leuven, Department of Decision Sciences and
Information Management (KBI), 2008. ga08aBCardoen.
[691] Brian J. F. Wong, Koohyar Karimi, Zlatko Devcic, CVhristine E. McLaren, and Wen-Pin Chen. Evolving
attractive faces using morphing technology and a genetic algorithm: A new approach to determining ideal
facial aesthetics. Laryngoscope, 118(6):962–974, June 2008. * ga08aBrianJFWong.
[692] Dah-Jye Lee, Jonathan D. Anderson, and James K. Archibald. Hardware implementation of a spline-based
genetic algorithm for embedded stereo vision sensor providing real-time visual guidance to the visually
impaired. EURASIP Journal on Advances in Signal Processing, ?(?):ID 385827, ? 2008. ga08aDah-JyeLee
⇒ http://www.hindawi.com/journals/asp/2008/385827.html.
Bibliography
107
[693] Jarmo T. Alander, Antti Autere, Olli Kanniainen, Janne Koljonen, Torbj¨
orn E. M. Nordling, and Petri
V¨
alisuo. Near infrared wavelength relevance detection of ultraviolet radiation-induced erythema. Journal
of Near Infrared Spectroscopy, 16(3):233–241, 2008. ga08aJTAlander.
[694] Olivier Gayou, Shiva K. Das, Su-Min Zhou, Lawrence B. Marks, David S. Parda, and Moyed Miften. A
genetic algorithm for variable selection in logistic regression analysis of radiotherapy treatment outcomes.
Med Phys, 35(12):5426–5433, December 2008. ga08aOlivierGayou ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/19175102.
[695] Simon B. Neerinckx, Andrew T. Peterson, Hubert Gulinck, Jozef Deckers, and Herwig Leirs. Geographical
distribution and ecological niche of plague in sub-Saharan Africa. International Journal of Health Geographics, 7(54):–, ? 2008. ga08aSBNeerinckx ⇒ http://www.ij-healthgeographics.com/content/7/1/54.
[696] D. Adhikari, A. Chettri, and S. K. Barik. Modelling the ecology and distribution of highly pathogenic avian
influenza (H5N1) in the Indian subcontinent. Current Science, 97(1):73–78, 10. July 2009. ga09aDAdhikari
⇒
http://docs.google.com/viewer?a=v&q=cache:ZYd8GK bdN4J:www.ias.ac.in/currsci/
jul102009/73.pdf+2008+%27genetic+algorithm%27+GARP+ecology+%27species+distribution%
27&hl=fi&gl=fi&pid=bl&srcid=ADGEESjLnkUBG35ZdwjkbMs39MW8Q9Iatje5AVPIr4Q12OS6Qt
mtHGVQgHXgX90ksEEWPlXqcLXhIQBHjppHhUW4m6ByA5wtXvCCNhdgcEEgyEhxr2ZAf5AuIVxZ7v96ex8Wp0lKP5i&sig=
AHIEtbShPIHPeQq6UYpvYuEpfwy2-V1ipw.
[697] Manuel Herrera, Joaqu´ın Izquierdo, Idel Montalvo, Juan Garg´ıa-Armengol, and Jos´e V. Roig. Identification
of surgical practise patterns using evolutionary cluster analysis. Mathematical and Computer Modelling,
?(?):?, ? 2009. (in press) ga09aManuelHerrera.
[698] Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, and Jim N. Treadwell. Genetic algorithm for
analysis of abdominal aortic aneurysms in radiology reports. In Proceedings of the 10th Annual Conference
on Genetic and Evolutionary Computation GECCO 2009, pages 83–84, Portland, OR, ? 2009. ACM, New
York. ga09aPatton ⇒ cda.ornl.gov/publications/Publication%2025948.pdf.
[699] Richard A. J. Williams and A. Townsend Peterson. Ecology and geography of avian influenza (HPAI H5N1)
transmission in the Middle East and northeastern Africa. International Journal of Health Geographics,
8(1):47–, ? 2009. ga09aRAJWilliams ⇒ http://www.ij-healthgeographics.com/content/8/1/47.
[700] Rebecca S. Levine, Krista L. Yorita, Matthew C. Walsh, and Mary G. Reynolds. A method for statistically comparing spatial distribution maps. International Journal of Health Geographics, 8(7):–, ? 2009.
ga09aRebeccaSLevine ⇒ http://www.ij-healthgeographics.com/content/8/1/7.
[701] R. M. Abolfath and L. Papiez. General strategy for the protection of organs at risk in IMRT therapy
of a moving body. Med Phys, 36(7):3013–3017, July 2009. * PubMed ga09aRMAbolfath ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/19673200.
[702] Scott R. Larson, John P. DeGroote, Lyric C. Bartholomay, and Ramanathan Sugumaran. Ecological
niche modeling of potential West Nile virus vector mosquito species in Iowa. Journal of Insect Science,
10(110):1–17, 2009. ga09aSRLarson ⇒ http://www.insectscience.org/10.110/.
[703] Xiaobo Zhou, Honghui Wang, Jun Wang, Yuan Wang, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan,
Stanley L. Hazen, King Li, Shih-Fu Chang, and Stephen T. C. Wong. Indentification of biomarkers for
risk stratification of cardiovascular events using genetic algorithm with recursive local floating search.
Proteomics, 9(?):2286–2294, ? 2009. ga09aXiaoboZhou.
[704] Xingen Wu, Ivan A. Brezovich, and John B. Fiveash. Bi- and tri-exponential fitting to TG-43 radial dose
functions of brachytherapy sources based on genetic algorithm. Brachytherapy, 8(4):361–366, OctoberDecember 2009. * www ga09aXingenWu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/19230792.
[705] Amorn Wongsarnpigoon and Warren M. Grill. Energy-efficient waveform shapes for neural stimulation revealed with a genetic algorithm. Journal of Neural Engineering, 7(046009):1–11, ? 2010.
ga10aAWongsarnpigoon ⇒ http://iopscience.iop.org/1741-2552/7/4/046009/.
[706] D. H. Foley, T. A. Klein, H. C. Kim, T. Brown, R. C. Wilkerson, and L. M. Rueda. Validation of ecological
niche models for potential malaria vectors in the Republic of Korea. Journal of the American Mosquito
Control Association, 26(2):210–213, June 2010. ga10aDHFoley ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
20649131.
[707] A. Srinivas Reddy, Sunil Kumar, and Rajni Garg. Hybrid-genetic algorithm based descriptor optimization
and QSAR models for predicting the biological activity of Tipranavir analogs for HIV protease inhibition.
Journal of Molecular Graphics and Modelling, 28(?):852–862, ? 2010. ga10aReddy ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/20399695.
108
Genetic algorithms in medicine
[708] Satoshi Sasaki, Alexis J. Comber, Hiroshi Suzuki, and Chris Brunsdon. Using genetic algorithms to
optimise current and future health planning - the example of ambulance locations. International Journal
of Health Geographics, 9(4):–, ? 2010. ga10aSatoshiSasaki ⇒ http://www.ij-healthgeographics.com/
content/pdf/1476-072x-9-4.pdf.
[709] S. Murugan and S. Radhakrishnan. Automated ischemic beat classification using genetic algorithm
based principal component analysis. International Journal of Healthcare Technology and Management,
11(3):151–162, ? 2010. * ga10aSMurugan ⇒ http://www.inderscience.com/search/index.php?action=
record&rec id=34086.
[710] Sunny Mak, Brian Klinkenberg, Karen Bartlett, and Murray Fyfe. Ecological niche modeling of cryptococcus gattii in British Columbia, Canada. Environmental Health Perspectives, 118(5):653–658, May 2010.
ga10aSunnyMak ⇒ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866681/.
[711] Timothy Andrew Joyner, Larissa Lukhnova, Yerlan Pazilov, Gulnara Temiralyeva, Martin E. Hugh-Jones,
Alim Aikimbayev, and Jason K. Blackburn. Modeling the potential distribution of bacillus anthracis under
multiple climate change scenarios for Kazakhstan. PLoS ONE, 5(3):e9596, March 2010. ga10aTAJoyner
⇒ http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009596.
[712] A. D. Borovskaia, E. N. Il’ina, T. A. Savinova, S. V. Sidorenko, S. A. Grudinina, and V. M. Govorun.
[differentiation of alpha-hemolytic streptococci by direct mass spectrometry profiling]. Bioorganicheskaia
Khimiia, 37(1):61–69, January-February. (in Russian).
[713] Ankita Thakur, Vijay Mishra, and Sunil K. Jain. Feed forward artificial neural network: tool for
early detection of ovarian cancer. Scientia Pharmaceutica, 79(3):493–505, September 2011. †PubMed
ga11aAnkitaThakur ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21886899.
[714] Barun Bhhatarai and Paola Gramatica. Oral LD50 toxicity modeling and prediction of per- and polyfluorinated chemicals on rat and mouse. Molecular Diversity, 15(2):467–476, May 2011.
†PubMed
ga11aBarunBhhatarai ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20803170.
[715] Benyamin Grosman, Osman S. Shaik, Bryan G. Helwig, Lisa R. Leon, and Francis J. Doyle 3rd. A
physiological systems approach to modeling and resetting of mouse thermoregulation under heat stress.
Journal of Applied Physiology, 111(3):938–945, September 2011. †PubMed ga11aBenyaminGrosman ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21700894.
[716] Bi-Xia Gao, Ming-Xi Li, Xue-Jiao Liu, Jian-Fang Cai, Xiao-Hong Fan, Xiao-Lin Yang, Xue-Mei Li, and
Xue-Wang Li. [analyzing urinary proteome patterns of metabolic syndrome patients with early renal injury
by magnet bead separation and matrix-assisted laser desorption ionization time-of-flight mass spectrometry]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae, 33(5):511–516, October
2011. (in Chinese) †PubMed ga11aBi-XiaGao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22338134.
[717] Bin Zheng, Dror Lederman, Jules H. Sumkin, Margarita L. Zuley, Michelle Z. Gruss, Linda S. Lovy,
and David Gur. A preliminary evaluation of multi-probe resonance-frequency electrical impedance based
measurements of the breast. Academic Radiology, 18(2):220–229, February 2011. †PubMed ga11aBinZheng
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21126888.
[718] C. A. Giller. Feasibility of identification of gamma knife planning strategies by identification of pareto
optimal gamma knife plans. Technology in Cancer Research & Treatment, 10(6):561–574, December 2011.
†PubMed ga11aCAGiller ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22066596.
[719] Chao Tan, Hui Chen, Tong Wu, and Chengyun Xia. Modeling the relationship between cervical cancer
mortality and trace elements based on genetic algorithm-partial least squares and support vector machines.
Biological Trace Element Research, 140(1):24–34, April 2011. †PubMed ga11aChaoTan ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/20352369.
[720] Cheng-Hong Yang, Li-Yeh Chuang, Yu-Jung Chen, Hung-Fu Tseng, and Hsueh-Wei Chang. Computational analysis of simulated SNP interactions between 26 growth factor-related genes in a breast cancer association study. Omics : A Journal of Integrative Biology, 15(6):399–407, June 2011. †PubMed
ga11aCheng-HongYang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21599519.
[721] Chrisantha Fernando, Vera Vasas, Eors Szathmary, and Phil Husbands. Evolvable neuronal paths:
a novel basis for information and search in the brain. PloS One, 6(8):e23534, 2011.
†PubMed
ga11aChrisanthaFernando ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21887266.
[722] Chu Chun Kang, Yung Jen Chuang, Kai Che Tung, Chun Cheih Chao, Chuan Yi Tang, Shih Chi Peng, and
David Shan Hill Wong. A genetic algorithm-based Boolean delay model of intracellular signal transduction
in inflammation. BMC Bioinformatics, 12:S17, 2011. †PubMed ga11aChuChunKang ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/21342546.
Bibliography
109
[723] Dimitrios Mantzaris, George Anastassopoulos, and Adam Adamopoulos. Genetic algorithm pruning of
probabilistic neural networks in medical disease estimation. Neural Networks, 24(8):831–835, October
2011. †PubMed ga11aDimitriosMantzaris ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21723704.
[724] Di Xiao, Fan-Liang Meng, Li-Hua He, Yi-Xin Gu, and Jian-Zhong Zhang. Analysis of the urinary peptidome associated with helicobacter pylori infection. World Journal of Gastroenterology, 17(5):618–624,
February 2011. †PubMed ga11aDiXiao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21350710.
[725] Elon Correa and Royston Goodacre. A genetic algorithm-Bayesian network approach for the analysis
of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and
classification of Bacillus species. BMC Bioinformatics, 12:33, 2011. †PubMed ga11aElonCorrea ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21269434.
[726] Fei Ji, Xin Xi, Ai ting Chen, Wu lan Zhao, Xiao Zhang, Yan fei Ni, Shi-Ming Yang, and Qiuju Wang.
Development of a mandarin monosyllable test material with homogenous items (II): lists equivalence
evaluation. Acta Oto-laryngologica, 131(10):1051–1060, October 2011. †PubMed ga11aFeiJi ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21599549.
[727] Fernando Jose Mateus da Silva, Juan Manuel Sanchez Perez, Juan Antonio Gomez Pulido, and
Miguel A. Vega Rodriguez. Parallel niche pareto AlineaGA–an evolutionary multiobjective approach
on multiple sequence alignment. Journal of Integrative Bioinformatics, 8(3):174, 2011.
†PubMed
ga11aFernandoJoseMdaSilva ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21926437.
[728] Florian David, Miriam Steinwand, Michael Hust, Kathrin Bohle, Anton Ross, Stefan Dubel, and Ezequiel
Franco-Lara. Antibody production in Bacillus megaterium: strategies and physiological implications of
scaling from microtiter plates to industrial bioreactors. Biotechnology Journal, 6(12):1516–1531, December
2011. †PubMed ga11aFlorianDavid ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21805641.
[729] F. Scott Gayzik, J. Jason Hoth, and Joel D. Stitzel. Finite element-based injury metrics for pulmonary
contusion via concurrent model optimization. Biomechanics and Modeling in Mechanobiology, 10(4):505–
520, July 2011. †PubMed ga11aFScottGayzik ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20737282.
[730] Gergely Bardossy, Gabor Halasz, and Tibor Gondos. The diagnosis of hypovolemia using advanced statistical methods. Computers in Biology and Medicine, 41(11):1022–1032, November 2011. †PubMed
ga11aGergelyBardossy ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21945236.
[731] Gurunathan Baskar and Shree Rajesh K. Sathya. Enhanced production of medicinal polysaccharide by
submerged fermentation of Lingzhi or Reishi medicinal mushroom Ganoderma lucidium (W.Curt.:Fr.)
P. Karst. using statistical and evolutionary optimization methods. International Journal of Medicinal
Mushrooms, 13(5):455–464, 2011. †PubMed ga11aGurunathanBaskar ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22324411.
[732] Henna H. H¨
arkonen, Johanna M. Mattsson, Juha A. E. M¨
a¨
att¨
a, Ulf-H˚
akan Stenman, Hannu Koistinen, Sanni Matero, Bj¨
orn Windsh¨
ugel, Antti Poso, and Maija Lahtela-Kakkonen. The discovery of compounds that stimulate the activity of kallikrein-related peptidase 3 (KLK3). ChemMedChem, 6(12):2170–
2178, December 2011. ga11aHennaHHarkonen ⇒ http://onlinelibrary.wiley.com/doi/10.1002/cmdc.
201100349/full.
[733] Hong Liu, Yihua Lan, Xiangyang Xu, Enmin Song, and Chih-Cheng Hung. Fissures segmentation using
surface features: content-based retrieval for mammographic mass using ensemble classifier. Academic
Radiology, 18(12):1475–1484, December 2011. †PubMed ga11aHongLiu ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22055794.
[734] Hsuan Jung and Paul Marjoram. Choice of summary statistic weights in approximate Bayesian computation. Statistical Applications in Genetics and Molecular Biology, 10(1), 2011. †PubMed ga11aHsuanJung
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23089822.
[735] Joon Lee, Catriona M. Steele, and Tom Chau. Classification of healthy and abnormal swallows based
on accelerometry and nasal airflow signals. Artificial Intelligence in Medicine, 52(1):17–25, May 2011.
†PubMed ga11aJoonLee ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21549579.
[736] Juan D. Gomez, Eli´ecer Herrera Uribe, and Esteban M. Correa. Eterno resplandor de una mente sin recuerdos: se me dejas te suprimo. Scientia et Technica A˜
no, XVI(48):81–86, August 2011. ga11aJuanDGomez
⇒ http://revistas.utp.edu.co/index.php/revistaciencia/article/view/1243.
[737] K. G. Baum, E. Schmidt, K. Rafferty, A. Krol, and Maria Helguera. Evaluation of novel genetic algorithm
generated schemes for positron emission tomography (PET)/magnetic resonance imaging (MRI) image
fusion. Journal of Digital Imaging, 24(6):1031–1043, December 2011. †PubMed ga11aKGBaum ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21479733.
110
Genetic algorithms in medicine
[738] Kim B. Stevens and Dirk U. Pfeiffer. Spatial modelling of disease using data- and knowledge-driven
approaches. Spatial and Spatio-temporal Epidemiology, 2(3):125–133, September 2011.
†PubMed
ga11aKimBStevens ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22748172.
[739] Lei Ming Sun, Hung-Wen Chiu, Chih Yuan Chuang, and Li Liu. A prediction model based on an artificial
intelligence system for moderate to severe obstructive sleep apnea. Sleep & Breathing = Schlaf & Atmung,
15(3):317–323, September 2011. †PubMed ga11aLeiMingSun ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
20602177.
[740] Lena Scheubert, Rainer Schmidt, Dirk Repsilber, Mitja Lustrek, and Georg Fuellen. Learning biomarkers of pluripotent stem cells in mouse. DNA Research, 18(4):233–251, August 2011.
†PubMed
ga11aLenaScheubert ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21791477.
[741] Li-Yeh Chuang, Cheng-Huei Yang, Kuo-Chuan Wu, and Cheng-Hong Yang. A hybrid feature selection method for DNA microarray data. Computers in Biology and Medicine, 41(4):228–237, April 2011.
†PubMed ga11aLi-YehChuang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21376310.
[742] Mark Manzano, Erin D. Reichert, Stephanie Polo, Barry Falgout, Wojciech Kasprzak, Bruce A. Shapiro,
and Radhakrishnan Padmanabhan. Identification of cis-acting elements in the 3’-untranslated region
of the dengue virus type 2 RNA that modulate translation and replication. The Journal of Biological
Chemistry, 286(25):22521–22534, June 2011. †PubMed ga11aMarkManzano ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/21515677.
[743] Martijn van den Branden, Nirmalie Wiratunga, Dean Burton, and Susan Craw. Integrating case-based reasoning with an electronic patient record system. Artificial Intelligence in Medicine, 51(2):117–123, February
2011. †PubMed ga11aMartijnvandenBranden ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21232927.
[744] Mei zhu Hong, Kuang nan Fang, Qian guo Mao, Wen qi Huang, Ting Xia, Min ning Song, Ru mian Zhang,
and Jin shui Pan. [predictors and scoring system for sustained complete response to conventional interferonalpha therapy on chronic hepatitis b]. Zhonghua Gan Zang Bing Za Zhi = Zhonghua Ganzangbing Zazhi =
Chinese Journal of Hepatology, 19(10):738–742, October 2011. (in Chinese) †PubMed ga11aMei-zhuHong
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22409844.
[745] M. I. Jackson, M. J. Hiley, and M. R. Yeadon. A comparison of Coulomb and pseudo-Coulomb friction
implementations: Application to the table contact phase of gymnastics vaulting. Journal of Biomechanics,
44(15):2706–2711, October 2011. †PubMed ga11aMIJackson ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21889150.
[746] Mingfeng Jiang, Lingyan Zhu, Yaming Wang, Ling Xia, Guofa Shou, Feng Liu, and Stuart Crozier. Application of kernel principal component analysis and support vector regression for reconstruction of cardiac
transmembrane potentials. Physics in Medicine and Biology, 56(6):1727–1742, March 2011. †PubMed
ga11aMingfengJiang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21346274.
[747] M. Z. Mohammed, V. N. Vyjayanti, C. A. Laughton, L. V. Dekker, P. M. Fischer, D. M. Wilson 3rd,
R. Abbotts, S. Shah, P. M. Patel, I. D. Hickson, and S. Madhusudan. Development and evaluation of human
AP endonuclease inhibitors in melanoma and glioma cell lines. British Journal of Cancer, 104(4):653–663,
February 2011. †PubMed ga11aMZMohammed ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21266972.
[748] Nafise Erfanian Saeedi, Farshad Almasganj, and Farhad Torabinejad. Support vector wavelet adaptation
for pathological voice assessment. Computers in Biology and Medicine, 41(9):822–828, September 2011.
†PubMed ga11aNafiseErfanianSaeedi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21777911.
[749] Pei Yi Loke, Lita Chew, and Chun Wei Yap. Pilot study on developing a decision support tool for guiding
re-administration of chemotherapeutic agent after a serious adverse drug reaction. BMC Cancer, 11:319,
2011. †PubMed ga11aPeiYiLoke ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21794175.
[750] Praveen Kumar, Birendra Shrivastava, Surendra N. Pandeya, and James P. Stables.
Design,
synthesis and potential 6 Hz psychomotor seizure test activity of some novel 2-(substituted)-3[substituted]aminoquinazolin-4(3H)-one. European Journal of Medicinal Chemistry, 46(4):1006–1018, April
2011. †PubMed ga11aPraveenKumar ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21306800.
[751] Rajasri Ray, K. V. Gururaja, and T. V. Ramchandra. Predictive distribution modeling for rare Himalayan
medicinal plant Berberis aristata DC. Journal of Environmental Biology, 32(6):725–730, November 2011.
†PubMed ga11aRajasriRay ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22471208.
[752] Richard P. Horgan, David I. Broadhurst, Sarah K. Walsh, Warwick B. Dunn, Marie Brown, Claire T.
Roberts, Robyn A. North, Lesley M. McCowan, Douglas B. Kell, Philip N. Baker, and Louise C. Kenny.
Metabolic profiling uncovers a phenotypic signature of small for gestational age in early pregnancy. Journal
of Proteome Research, 10(8):3660–3673, August 2011. †PubMed ga11aRichardPHorgan ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/21671558.
Bibliography
111
[753] Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, and Radu Badea. Evolutionarydriven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artificial
Intelligence in Medicine, 51(1):53–65, January 2011. †PubMed ga11aRuxandraStoean ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/20675106.
[754] Sanjay Pant, Georges Limbert, Nick P. Curzen, and Neil W. Bressloff. Multiobjective design optimisation
of coronary stents. Biomaterials, 32(31):7755–7773, November 2011. †PubMed ga11aSanjayPant ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21821283.
[755] Santanu Ghorai, Anirban Mukherjee, Sanghamitra Sengupta, and Pranab K. Dutta. Cancer classification
from gene expression data by NPPC ensemble. IEEE/ACM Transactions on Computational Biology and
Bioinformatics, 8(3):659–671, May-June 2011. †PubMed ga11aSantanuGhorai ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/20479504.
[756] Saras Saraswathi, Suresh Sundaram, Narasimhan Sundararajan, Michael Zimmermann, and Marit NilsenHamilton. ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene
sets in which genes encoding secreted proteins are highly represented. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(2):452–463, March-April 2011. †PubMed ga11aSarasSaraswathi
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21233525.
[757] Shiyamala Duraipandian, Wei Zheng, Joseph Ng, Jeffrey J. H. Low, A. Ilancheran, and Zhiwei Huang.
In vivo diagnosis of cervical precancer using Raman spectroscopy and genetic algorithm techniques. The
Analyst, 136(20):4328–4336, October 2011. †PubMed ga11aShiyamalaDuraipandian ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/21869948.
[758] Siow-Wee Chang, Sameem Abdul Kareem, Thomas George Kallarakkal, Amir Feisal Merican Aljunid
Merican, Mannil Thomas Abraham, and Rosnah Binti Zain. Feature selection methods for optimizing
clinicopathologic input variables in oral cancer prognosis. Asian Pacific Journal of Cancer Prevention,
12(10):2659–2664, 2011. †PubMed ga11aSiow-WeeChang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
22320970.
[759] S. Mostapha Kalami Heris and Hamid Khaloozadeh. Open- and closed-loop multiobjective optimal strategies for HIV therapy using NSGA-II. IEEE Transactions on Bio-medical Engineering, 58(6):1678–1685,
June 2011. †PubMed ga11aSMostaphaKalamiHeris ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21296701.
[760] Stanislaw Osowski, Krzysztof Siwek, and Robert Siroic. Neural system for heartbeats recognition using
genetically integrated ensemble of classifiers. Computers in Biology and Medicine, 41(3):173–180, March
2011. †PubMed ga11aStanislawOsowski ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21315326.
[761] Stelios P. Pavlidis, Annette M. Payne, and Stephen M. Swift. Multi-membership gene regulation
in pathway based microarray analysis. Algorithms For Molecular Biology, 6:22, 2011.
†PubMed
ga11aSteliosPPavlidis ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21939531.
[762] Stephanie Goujon-Bellec, Claire Demoury, Aurelie Guyot-Goubin, Denis Hemon, and Jacqueline Clavel.
Detection of clusters of a rare disease over a large territory: performance of cluster detection methods.
International Journal of Health Geographics, 10:53, 2011. †PubMed ga11aStephanieGoujon-Bellec ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21970516.
[763] Taotao Liu, Ruyi Xue, Xiaowu Huang, Danying Zhang, Ling Dong, Hao Wu, and Xizhong Shen. Proteomic profiling of hepatitis B virus-related hepatocellular carcinoma with magnetic bead-based matrixassisted laser desorption/ionization time-of-flight mass spectrometry. Acta Biochimica Et Biophysica
Sinica, 43(7):542–550, July 2011. †PubMed ga11aTaotaoLiu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21659380.
[764] Thomas Bourquard, Julie Bernauer, Jerome Aze, and Anne Poupon. A collaborative filtering approach for
protein-protein docking scoring functions. PloS One, 6(4):e18541, 2011. †PubMed ga11aThomasBourquard
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21526112.
[765] Timothy M. D. Ebbels, John C. Lindon, and Muireann Coen. Processing and modeling of nuclear magnetic resonance (NMR) metabolic profiles. Methods in Molecular Biology, 708:365–388, 2011. †PubMed
ga11aTimothyMDEbbels ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21207301.
[766] Toshimasa Ishida, Ikuya Nishimura, Hiromasa Tanino, Masaru Higa, Hiroshi Ito, and Yoshinori Mitamura.
Use of a genetic algorithm for multiobjective design optimization of the femoral stem of a cemented total
hip arthroplasty. Artificial Organs, 35(4):404–410, April 2011. †PubMed ga11aToshimasaIshida ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21332564.
112
Genetic algorithms in medicine
[767] Vinod Kumar Gupta, Hadi Khani, Behzad Ahmadi-Roudi, Shima Mirakhorli, Ehsan Fereyduni, and Shilpi
Agarwal. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human
blood using MLR, PLS and back-propagation artificial neural networks. Talanta, 83(3):1014–1022, January
2011. †PubMed ga11aVinodKumarGupta ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21147352.
[768] Xiangzhen Kong, Weihua Zhu, Zhimin Zhao, Xiangyan Li, Hui Wang, Ran Chen, Chuchu Chen, Feng
Zhu, and Xiaoying Guo. Fluorescence spectroscopic determination of triglyceride in human serum with
window genetic algorithm partial least squares. Journal of Chemometrics, 26(1):25–33, January 2012.
ga11aXiangzhenKong ⇒ http://onlinelibrary.wiley.com/doi/10.1002/cem.1422/pdf.
[769] Yanqiu Wang, Xiaowen Chen, Wei Jiang, Li Li, Wei Li, Lei Yang, Mingzhi Liao, Baofeng Lian, Yingli Lv,
Shiyuan Wang, Shuyuan Wang, and Xia Li. Predicting human microRNA precursors based on an optimized
feature subset generated by GA-SVM. Genomics, 98(2):73–78, August 2011. †PubMed ga11aYanqiuWang
⇒ http://www.ncbi.nlm.nih.gov/pubmed/21586321.
[770] Yoon-Joo Park, Se-Hak Chun, and Byung-Chun Kim. Cost-sensitive case-based reasoning using a genetic
algorithm: application to medical diagnosis. Artificial Intelligence in Medicine, 51(2):133–145, February
2011. †PubMed ga11aYoon-JooPark ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21216571.
[771] Barun Bhhatarai and Paola Gramatica. Modelling physico-chemical properties of (benzo)triazoles, and
screening for environmental partitioning. Water Research, 45(3):1463–1471, January 2011. †PubMed
ga11bBarunBhhatarai ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21112604.
[772] Mohammad H. Fatemi and Parisa Izadiyan. Cytotoxicity estimation of ionic liquids based on their effective
structural features. Chemosphere, 84(5):553–563, July 2011. †PubMed ga11bMohammadHosseinFatemi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/21549407.
[773] Alexandra Constantin, Adam Elkhaled, Llewellyn Jalbert, Radhika Srinivasan, Soonmee Cha, Susan M.
Chang, Ruzena Bajcsy, and Sarah J. Nelson. Identifying malignant transformations in recurrent low
grade gliomas using high resolution magic angle spinning spectroscopy. Artificila Intelligence in Medicine,
55(1):61–70, May 2012. ga12aAConstantin ⇒ http://www.sciencedirect.com/science/article/pii/
S0933365712000152.
[774] Ahmad Fadzil M. Hani, Hermawan Nugroho, Norashikin Shamsudin, and Roshidad Baba. Melanin determination using optimised inverse Monte Carlo for skin-light interaction. In Proceedings of the 2012 4th
International Conference on Intelligent and Advanced Systems (ICIAS2012), pages 314–318, ?, ? 2012.
IEEE, Piscataway, NJ. ga12aAhmadFadzilMHani ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=
&arnumber=6306209.
[775] Anze Zupanic, Bor Kos, and Damijan Miklavcic. Treatment planning of electroporation-based medical interventions: electrochemotherapy, gene electrotransfer and irreversible electroporation. Physics
in Medicine and Biology, 57(17):5425–5440, September 2012. †PubMed ga12aAnzeZupanic ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22864181.
[776] B¨
arbel Maus, Gerard J. P. van Breukelen, Rainer Goebel, and Martijn P. F. Berger. Optimal design for
nonlinear estimation of the hemodynamic response function. Human Brain Mapping, 33(6):1253–1267,
June 2012. †PubMed ga12aBarbelMaus ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21567658.
[777] Bevan Kai-Sheng Chung and Dong-Yup Lee. Computational codon optimization of synthetic gene for
protein expression. BMC Systems Biology, 6:134, 2012. †PubMed ga12aBevanKai-ShengChung ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/23083100.
[778] Bingbing Ji, Paul G. Genever, Ronald J. Patton, Devi Putra, and Michael J. Fagan. A novel mathematical
model of bone remodelling cycles for trabecular bone at the cellular level. Biomechanics and Modeling in
Mechanobiology, 11(7):973–982, September 2012. †PubMed ga12aBingbingJi ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/22218996.
[779] B. S. Mahanand, S. Suresh, N. Sundararajan, and M. Aswath Kumar. Identification of brain regions responsible for Alzheimer’s disease using a self-adaptive resource allocation network. Neural Networks, 32:313–322,
August 2012. †PubMed ga12aBSMahanand ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22391013.
[780] Can T. Xu, Pontus Svenmarker, Stefan Andersson-Engels, and Jorgen Krohn. Transscleral visible/nearinfrared spectroscopy for quantitative assessment of haemoglobin in experimental choroidal tumours. Acta
Ophthalmologica, 90(4):350–356, June 2012. †PubMed ga12aCanTXu ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/21155981.
[781] Cheng-Hong Yang, Yu-Huei Cheng, Cheng-Huei Yang, and Li-Yeh Chuang. Mutagenic primer design
for mismatch PCR-RFLP SNP genotyping using a genetic algorithm. IEEE/ACM Transactions on
Computational Biology and Bioinformatics, 9(3):837–845, 2012. †PubMed ga12aCheng-HongYang ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22331864.
Bibliography
113
[782] C. Lainscsek, P. Rowat, L. Schettino, D. Lee, D. Song, C. Letellier, and H. Poizner. Finger tapping
movements of Parkinson’s disease patients automatically rated using nonlinear delay differential equations. Chaos, 22(1):013119, March 2012. †PubMed ga12aCLainscsek ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22462995.
[783] Corina T. Bot, Armen R. Kherlopian, Francis A. Ortega, David J. Christini, and Trine Krogh-Madsen.
Rapid genetic algorithm optimization of a mouse computational model: benefits for anthropomorphization
of neonatal mouse cardiomyocytes. Frontiers in Physiology, 3:421, 2012. †PubMed ga12aCorinaTBot ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23133423.
[784] Daniel J. Underwood, Jingyu Zhang, Brian T. Denton, Nilay D. Shah, and Brant A. Inman. Simulation
optimization of PSA-threshold based prostate cancer screening policies. Health Care Management Science,
15(4):293–309, December 2012. †PubMed ga12aDanielJUnderwood ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22302420.
[785] Darcie A. P. Delzell, Richard F. Gunst, William R. Schucany, Patrick S. Carmack, Qihua Lin, Jeffrey S.
Spence, and Robert W. Haley. Key properties of D-optimal designs for event-related functional MRI
experiments with application to nonlinear models. Statistics in Medicine, 31(29):3907–3920, December
2012. †PubMed ga12aDarcieAPDelzell ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22744932.
[786] Delali A. Adiamah and Jean-Marc Schwartz. Construction of a genome-scale kinetic model of Mycobacterium tuberculosis using generic rate equations. Metabolites, 2(3):382–397, 2012.
†PubMed
ga12aDelaliAAdiamah ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24957639.
[787] Federica De Chierico, Andrea Masotti, Manuela Onori, Ersilia Fiscarelli, Livia Mancinelli, Gabriella Ricciotti, Federico Alghisi, Leopoldo Dimiziani, Cesare Manetti, Andrea Urbani, Maurizio Muraca, and
Lorenza Putignani. MALDI-TOF MS proteomic phenotyping of filamentous and other fungi from clinical
origin. Journal of Proteomics, 75(11):3314–3330, June 2012. †PubMed ga12aFedericaDeChierico ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22504628.
[788] Florian Frommlet, Ivana Ljubic, Helga Bjork Arnardottir, and Malgorzata Bogdan. QTL mapping using a
memetic algorithm with modifications of BIC as fitness function. Statistical Applications in Genetics and
Molecular Biology, 11(4):Article, 2012. †PubMed ga12aFlorianFrommlet ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22628351.
[789] Florian Nigsch, Janna Hutz, Ben Cornett, Douglas W. Selinger, Gregory McAllister, Somnath Bandyopadhyay, Joseph Loureiro, and Jeremy L. Jenkins. Determination of minimal transcriptional signatures
of compounds for target prediction. EURASIP Journal on Bioinformatics & Systems Biology, 2012(1):2,
2012. †PubMed ga12aFlorianNigsch ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22574917.
[790] Fereidoun Nowshirava Rahatabad, Amir Homayoun Jafari, Ali Fallah, and Javad Razjouyan. A fuzzygenetic model for estimating forces from electromyographical activity of antagonistic muscles due to planar
lower arm movements: the effect of nonlinear muscle properties. Bio Systems, 107(1):56–63, January 2012.
†PubMed ga12aFNowshiravaRahatabad ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21945426.
[791] Giuseppe Pirlo and Donato Impedovo. Adaptive membership functions for handwritten character recognition by voronoi-based image zoning. IEEE Transactions on Image Processing : A Publication of the
IEEE Signal Processing Society, 21(9):3827–3837, September 2012. †PubMed ga12aGiuseppePirlo ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22614648.
[792] Gokcen Cilingir, Shira L. Broschat, and Audrey O. T. Lau. ApicoAP: the first computational model for
identifying apicoplast-targeted proteins in multiple species of Apicomplexa. PloS One, 7(5):e36598, 2012.
†PubMed ga12aGokcenCilingir ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22574192.
[793] Hamid Mahmoodian. Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic
system. Australasian Physical & Engineering Sciences in Medicine, 35(2):193–204, June 2012. †PubMed
ga12aHamidMahmoodian ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22733123.
[794] Henrik T. Yudate, Toshihiro Kai, Mikio Aoki, Yohsuke Minowa, Toru Yamada, Toru Kimura, Atsushi
Ono, Hiroshi Yamada, Yasuo Ohno, and Tetsuro Urushidani. Identification of a novel set of biomarkers
for evaluating phospholipidosis-inducing potential of compounds using rat liver microarray data measured
24-h after single dose administration. Toxicology, 295(1).
[795] Henri S. Tapp, Marijana Radonjic, E. Kate Kemsley, and Uwe Thissen. Evaluation of multiple variate
selection methods from a biological perspective: a nutrigenomics case study. Genes & Nutrition, 7(3):387–
397, July 2012. †PubMed ga12aHenriSTapp ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22382778.
[796] Ibrahim Burak Ozyurt. Automatic identification and classification of noun argument structures in biomedical literature. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(6):1639–1648,
2012. †PubMed ga12aIbrahimBurakOzyurt ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22868678.
114
Genetic algorithms in medicine
[797] Jason L. Walther, Christian M. Metallo, Jie Zhang, and Gregory Stephanopoulos. Optimization of 13C
isotopic tracers for metabolic flux analysis in mammalian cells. Metabolic Engineering, 14(2):162–171,
March 2012. †PubMed ga12aJasonLWalther ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22198197.
[798] J. Clegg and M. P. Robinson. A genetic algorithm for optimizing multi-pole Debye models of tissue dielectric
properties. Physics in Medicine and Biology, 57(19):6227–6243, October 2012. †PubMed ga12aJClegg
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22975629.
[799] J. Galeano, R. Jolivot, Y. Benezeth, F. Marzani, J. F. Emile, and D. Lamarque. Analysis of multispectral images of excised colon tissue samples based on genetic algorithms. In Proceedings of the
2012 8th International Conference on Signal Image Technology and Internet Based Systems (SITIS),
volume ?, pages 833–838, ?, 25.-29. November 2012. IEEE, Piscataway, NJ. ga12aJGaleano ⇒ http:
//ieeexplore.ieee.org/xpls/abs all.jsp?arnumber=6395177&tag=1.
[800] Jianghong Liu, Linlin Yin, Huiqing Dong, Erhe Xu, Lan Zhang, Yuchen Qiao, Yuan Liu, Lin Li, and
Jianping Jia. Decreased serum levels of nucleolin protein fragment, as analyzed by bead-based proteomic
technology, in multiple sclerosis patients compared to controls. Journal of Neuroimmunology, 250(1-2):71–
76, September 2012. †PubMed ga12aJianghongLiu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22633274.
[801] Jianhua Yang, Harsimrat Singh, Evor L. Hines, Friederike Schlaghecken, Daciana D. Iliescu, Mark S. Leeson, and Nigel G. Stocks. Channel selection and classification of electroencephalogram signals: an artificial
neural network and genetic algorithm-based approach. Artificial Intelligence in Medicine, 55(2):117–126,
June 2012. †PubMed ga12aJianhuaYang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22503644.
[802] Jing Jin Shen, Masoud Kalantari, Jozsef Kovecses, Jorge Angeles, and Javad Dargahi. Viscoelastic modeling of the contact interaction between a tactile sensor and an atrial tissue. IEEE Transactions on Bio-medical Engineering, 59(6):1727–1738, June 2012.
†PubMed ga12aJingJinShen ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22481811.
[803] Jintao Yuan, Yuepu Pu, and Lihong Yin. Liver specificity of the carcinogenicity of NOCs: a chemicalmolecular perspective. Chemical Research in Toxicology, 25(11):2432–2442, November 2012. †PubMed
ga12aJintaoYuan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23043541.
[804] Julie Wilson, Nienke L. va Doorn, and Matthew J. Collins. Assessing the extent of bone degradation using
glutamine deamidation in collagen. Analytical Chemistry, 84(21):9041–9048, November 2012. †PubMed
ga12aJulieWilson ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23030643.
[805] Lena Scheubert, Mitja Lustrek, Rainer Schmidt, Dirk Repsilber, and Georg Fuellen. Tissue-based
Alzheimer gene expression markers-comparison of multiple machine learning approaches and investigation
of redundancy in small biomarker sets. BMC Bioinformatics, 13:266, 2012. †PubMed ga12aLenaScheubert
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23066814.
[806] Leoncio A. Romero, Victor Zamudio, Rosario Baltazar, Efren Mezura, Marco Sotelo, and Vic Callaghan.
A comparison between metaheuristics as strategies for minimizing cyclic instability in ambient intelligence.
Sensors (Basel, Switzerland), 12(8):10990–11012, 2012. †PubMed ga12aLeoncioARomero ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/23112643.
[807] Li-Yeh Chuang, Cheng-Huei Yang, Ming-Cheng Lin, and Cheng-Hong Yang. CpGPAP: CpG island
predictor analysis platform. BMC Genetics, 13:13, 2012.
†PubMed ga12aLi-YehChuang ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22385986.
[808] Luisa Costa Sousa, Catarina F. Castro, Carlos Concei¸c˜
ao Ant´
onio, and Rui Chaves. Blood flow simulation and vascular reconstruction. Journal of Biomechanics, 45(15):2549–2555, October 2012. †PubMed
ga12aLuisaCostaSousa ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22959708.
[809] Merav Catalogna, Eyal Cohen, Sigal Fishman, Zamir Halpern, Uri Nevo, and Eshel Ben-Jacob. Artificial
neural networks based controller for glucose monitoring during clamp test. PloS One, 7(8):e44587, 2012.
†PubMed ga12aMeravCatalogna ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22952998.
[810] Michael Fernandez and Diego Miranda-Saavedra. Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines. Nucleic Acids Research, 40(10):e77,
May 2012. †PubMed ga12aMichaelFernandez ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22328731.
[811] Michael Mooney, Beth Wilmot, and Shannon McWeeney. The ga and the gwas: using genetic algorithms
to search for multilocus associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(3):899–910, 2012. †PubMed ga12aMichaelMooney ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
22025762.
Bibliography
115
[812] Michel R. Boisvert, Kristine G. Koski, David H. Burns, and Cameron D. Skinner. Early prediction of
macrosomia based on an analysis of second trimester amniotic fluid by capillary electrophoresis. Biomarkers
in Medicine, 6(5):655–662, October 2012. †PubMed ga12aMichelRBoisvert ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/23075245.
[813] M. M. Gaye, S. J. Valentine, Y. Hu, N. Mirjankar, Z. T. Hammoud, Y. Mechref, B. K. Lavine, and
D. E. Clemmer. Ion mobility-mass spectrometry analysis of serum N-linked glycans from esophageal
adenocarcinoma phenotypes. Journal of Proteome Research, 11(12):6102–6110, December 2012. †PubMed
ga12aMMGaye ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23126309.
[814] Mohammad Ganjtabesh, H. Ahrabian, A. Nowzari-Dalini, and Z. Razaghi Kashan Moghadam. Genetic algorithm solution for double digest problem. Bioinformation, 8(10):453–456, 2012. †PubMed
ga12aMohammadGanjtabesh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22715298.
[815] Mortaza Aghbashlo, Hossien Mobli, Ashkan Madadlou, and Shahin Rafiee. Integrated optimization of
fish oil microencapsulation process by spray drying. Journal of Microencapsulation, 29(8):790–804, 2012.
†PubMed ga12aMortazaAghbashlo ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22676455.
[816] Nada S. Abdelwahab. Determination of ambroxol hydrochloride, guaifenesin, and theophylline in ternary
mixtures and in the presence of excipients in different pharmaceutical dosage forms. Journal of AOAC
International, 95(6):1629–1638, 2012. †PubMed ga12aNadaSAbdelwahab ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/23451378.
[817] Nguyen Vinh Xuan, Madhu Chetty, Ross Coppel, and Pramod P. Wangikar. Gene regulatory network
modeling via global optimization of high-order dynamic Bayesian network. BMC Bioinformatics, 13:131,
2012. †PubMed ga12aNguyenVinhXuan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22694481.
[818] Paul W. Fenimore, Majidat A. Muhammad, William M. Fischer, Brian T. Foley, Russell R. Bakken,
James R. Thurmond, Karina Yusim, Hyejin Yoon, Michael Parker, Mary Kate Hart, John M. Dye, Bette
Korber, and Carla Kuiken. Designing and testing broadly-protective filoviral vaccines optimized for cytotoxic T-lymphocyte epitope coverage. PloS One, 7(10):e44769, 2012. †PubMed ga12aPaulWFenimore ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23056184.
[819] Qinghui Gao, Christine Ho, Yingmin Jia, Jingyi Jessica Li, and Haiyan Huang. Biclustering of linear
patterns in gene expression data. Journal of Computational Biology, 19(6):619–631, June 2012. †PubMed
ga12aQinghuiGao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22697238.
[820] Qiu Guan, Wanliang Wang, and Guang Wu. Modeling and representation of human hearts for volumetric
measurement. Computational and Mathematical Methods in Medicine, 2012:389463, 2012. †PubMed
ga12aQiuGuan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22162723.
[821] Rainer Schmidt, Lena Scheubert, Mitja Lustrek, Dirk Repsilber, and Georg Fuellen. Pluripotent
stem cells in mice. Studies in Health Technology and Informatics, 180:1159–1161, 2012.
†PubMed
ga12aRainerSchmidt ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22874386.
[822] Roy Ben-Shalom, Amit Aviv, Benjamin Razon, and Alon Korngreen. Optimizing ion channel models using
a parallel genetic algorithm on graphical processors. Journal of Neuroscience Methods, 206(2):183–194,
2012. †PubMed ga12aRoyBen-Shalom ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22407006.
[823] Sahar Ashayer, Mansur Askari, and Hossein Afarideh. Optimal per cent by weight of elements in diagnostic quality radiation shielding materials. Radiation Protection Dosimetry, 149(3):268–288, April 2012.
†PubMed ga12aSaharAshayer ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21705365.
[824] Saman Parvaneh, Mohammad Reza Hashemi Golpayegani, Mohammad Firoozabadi, and Majid Haghjoo.
Predicting the spontaneous termination of atrial fibrillation based on poincare section in the electrocardiogram phase space. Proceedings of the Institution of Mechanical Engineers. Part H, Journal
of Engineering in Medicine, 226(1):3–20, January 2012.
†PubMed ga12aSamanParvaneh ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22888580.
[825] Samanta Rosati, Gabriella Balestra, and Filippo Molinari. Feature selection applied to the time-frequency
representation of muscle near-infrared spectroscopy (NIRS) signals: Characterization of diabetic oxygenation patterns. Journal of Mechanics in Medicine and Biology, 12(4):1240013–1–1240013–14, ? 2012.
ga12aSamantaRosati ⇒ http://porto.polito.it/2501947/2/NIRS diabetes feature extraction.pdf.
[826] Sasho J. MacKenzie. Club position relative to the golfer’s swing plane meaningfully affects swing dynamics.
Sports Biomechanics, 11(2):149–164, June 2012. †PubMed ga12aSashoJMacKenzie ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/22900397.
116
Genetic algorithms in medicine
[827] S. J. Allen, M. A. King, and M. R. Yeadon. Models incorporating pin joints are suitable for simulating
performance but unsuitable for simulating internal loading. Journal of Biomechanics, 45(8):1430–1436,
May 2012. †PubMed ga12aSJAllen ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22406467.
[828] S. Moghimi, M. Talebi, and I. Parisay. Design and implementation of a hybrid genetic algorithm and
artificial neural network system for predicting the sizes of unerupted canines and premolars. European
Journal of Orthodontics, 34(4):480–486, August 2012. †PubMed ga12aSMoghimi ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/21633091.
[829] Sung-Nien Yu and Ming-Yuan Lee. Bispectral analysis and genetic algorithm for congestive heart failure
recognition based on heart rate variability. Computers in Biology and Medicine, 42(8):816–825, August
2012. †PubMed ga12aSung-NienYu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22809682.
[830] S. Vineetha, C. Chandr Shekara Bhat, and Sumam Mary Idicula. Gene regulatory network from microarray
data of colon cancer patients using TSK-type recurrent neural fuzzy network. Gene, 506(2):408–416,
September 2012. †PubMed ga12aSVineetha ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22759510.
[831] Wei Wang, Suyun Xiang, Shaofei Xie, and Bingren Xiang. An adaptive single-well stochastic resonance
algorithm applied to trace analysis of clenbuterol in human urine. Molecules, 17(2):1929–1938, 2012.
†PubMed ga12aWeiWang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22337140.
[832] Wojciech Swieszkowski and Krzysztof J. Kurzydlowski. Numerical modeling in the design and evaluation
of scaffolds for orthopaedics applications. Methods in Molecular Biology, 868:155–182, 2012. †PubMed
ga12aWojciechSwieszkowski ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22692611.
[833] Xiao-Hua Fu, Yi-Fang Ye, Mei-Juan Luo, Xiao-Dan Hong, Xiao-Lu Chen, Qiu-Yan Yao, Ying-Ci Rong,
and Bin Ren. [prediction of blood tacrolimus concentration in liver transplantation recipients by artificial
neural network]. Yao Xue Xue Bao = Acta Pharmaceutica Sinica, 47(9):1134–1140, September 2012.
†PubMed ga12aXiao-HuaFu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23227541.
[834] Xiaohua Pan, Liling Huang, Jiakai Chen, Yong Dai, and Xiaofen Chen. Analysis of synovial fluid in knee
joint of osteoarthritis:5 proteome patterns of joint inflammation based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. International Orthopaedics, 36(1):57–64, January 2012.
†PubMed ga12aXiaohuaPan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21509578.
[835] Ya-Lan Tao, Yan Li, Jin Gao, Zhi-Gang Liu, Zi-Wei Tu, Guo Li, Bing-Qing Xu, Dao-Li Niu, ChangBin Jiang, Wei Yi, Zhi-Qiang Li, Jing Li, Yi-Ming Wang, Zhi-Bin Cheng, Qiao-Dan Liu, Li Bai, Chun
Zhang, Jing-Yu Zhang, Mu-Sheng Zeng, and Yun-Fei Xia. Identifying FGA peptides as nasopharyngeal
carcinoma-associated biomarkers by magnetic beads. Journal of Cellular Biochemistry, 113(7):2268–2278,
July 2012. †PubMed ga12aYa-LanTao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22334501.
[836] Yan-Hua Lai, Zhan-Chao Li, Li-Li Chen, Zong Dai, and Xiao-Yong Zou. Identification of potential host
proteins for influenza A virus based on topological and biological characteristics by proteome-wide network
approach. Journal of Proteomics, 75(8):2500–2513, April 2012. †PubMed ga12aYan-HuaLai ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22415277.
[837] Yongnian Ni, Rongmei Song, and Serge Kokot. Discrimination of radix isatidis and rhizoma et radix baphicacanthis cusia samples by near infrared spectroscopy with the aid of chemometrics. Spectrochimica Acta.
Part A, Molecular and Biomolecular Spectroscopy, 96:252–258, October 2012. †PubMed ga12aYongnianNi
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22683560.
[838] Yuya Hattori, Michiyo Suzuki, Zu Soh, Yasuhiko Kobayashi, and Toshio Tsuji. Theoretical and evolutionary parameter tuning of neural oscillators with a double-chain structure for generating rhythmic signals. Neural Computation, 24(3):635–675, March 2012.
†PubMed ga12aYuyaHattori ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22168564.
[839] Li-Yeh Chuang, Yu-Huei Cheng, and Cheng-Hong Yang. URPD: a specific product primer design tool.
BMC Research Notes, 5:306, 2012. †PubMed ga12bLi-YehChuang ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/22713312.
[840] Michel R. Boisvert, Kristine G. Koski, David H. Burns, and Cameron D. Skinner. Prediction of gestational diabetes mellitus based on an analysis of amniotic fluid by capillary electrophoresis. Biomarkers in
Medicine, 6(5):645–653, October 2012. †PubMed ga12bMichelRBoisvert ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/23075244.
[841] Xingwei Wang, Lihua Li, Wei Liu, Weidong Xu, Dror Lederman, and Bin Zheng. An interactive system
for computer-aided diagnosis of breast masses. Journal of Digital Imaging, 25(5):570–579, October 2012.
†PubMed ga12bXingweiWang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22234836.
Bibliography
117
[842] Li-Yeh Chuang, Cheng-Huei Yang, Jung-Chike Li, and Cheng-Hong Yang. A hybrid BPSO-CGA approach
for gene selection and classification of microarray data. Journal of Computational Biology, 19(1):68–82,
January 2012. †PubMed ga12cLi-YehChuang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21210743.
[843] Alexander R. Kent and Warren M. Grill. Model-based analysis and design of nerve cuff electrodes for
restoring bladder function by selective stimulation of the pudendal nerve. Journal of Neural Engineering,
10(3):036010, June 2013. †PubMed ga13aAlexanderRKent ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23594706.
[844] Amouda Venkatesan, Jeyakodi Gopal, Manimozhi Candavelou, Sowjanya Gollapalli, and Kayathri
Karthikeyan. Computational approach for protein structure prediction. Healthcare Informatics Research, 19(2):137–147, June 2013. †PubMed ga13aAmoudaVenkatesan ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/23882419.
[845] Andrew T. Sabin and Pamela E. Souza. Initial development of a temporal-envelope-preserving nonlinear
hearing aid prescription using a genetic algorithm. Trends in Amplification, 17(2):94–107, June 2013.
†PubMed ga13aAndrewTSabin ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24028890.
[846] Anirban Mukhopadhyay and Ujjwal Maulik. An SVM-wrapped multiobjective evolutionary feature selection approach for identifying cancer-microRNA markers. IEEE Transactions on Nanobioscience, November
2013. †PubMed ga13aAnirbanMukhopadhyay ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24235309.
[847] Anita Sarkar, Carolina Fontana, Anne Imberty, Serge Perez, and Goran Widmalm. Conformational preferences of the O-antigen polysaccharides of Escherichia coli o5ac and o5ab using NMR spectroscopy and
molecular modeling. Biomacromolecules, 14(7):2215–2224, July 2013. †PubMed ga13aAnitaSarkar ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23721050.
[848] Ayyappa Chaturvedula, Mark E. Sale, and Howard Lee. Genetic algorithm guided population pharmacokinetic model development for simvastatin, concurrently or non-concurrently co-administered with
amlodipine. Journal of Clinical Pharmacology, 2013. †PubMed ga13aAyyappaChaturvedula ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/24114976.
[849] Ching-Chi Hsu. Shape optimization for the subsidence resistance of an interbody device using simulationbased genetic algorithms and experimental validation. Journal of Orthopaedic Research : Official Publication of the Orthopaedic Research Society, 31(7):1158–1163, July 2013. †PubMed ga13aChing-ChiHsu
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23335363.
[850] Denis V. Antonets and Sergei I. Bazhan. PolyCTLDesigner: a computational tool for constructing
polyepitope t-cell antigens. BMC Research Notes, 6, 2013.
†PubMed ga13aDenisVAntonets ⇒
http://www.ncbi.nlm.nih.gov/pubmed/24107711.
[851] Dominique Twelves, Ashutosh Nerurkar, Peter Osin, Tim Dexter, Ann Ward, Gerald P. H. Gui, and
Clare M. Isacke. DNA promoter hypermethylation profiles in breast duct fluid. Breast Cancer Research
and Treatment, 139(2):341–350, June 2013. †PubMed ga13aDominiqueTwelves ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23674191.
[852] F. Tian, J. Wu, N. Huang, T. Guo, and C. Mao. The critical aggregation concentration of peptide
surfactants is predictable from dynamic hydrophobic property. SAR and QSAR in Environmental Research,
24(2):89–101, 2013. †PubMed ga13aFTian ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23171122.
[853] George Anastassopoulos, Adam Adamopoulos, Dimitrios Galiatsatos, and Georgios Drosos. Feature
extraction of osteoporosis risk factors using artificial neural networks and genetic algorithms. Studies in Health Technology and Informatics, 2013. †PubMed ga13aGeorgeAnastassopoulos ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/23823417.
[854] Hongwei Shao, Ying He, King C. P. Li, and Xiaobo Zhou. A system mathematical model of a cell-cell
communication network in amyotrophic lateral sclerosis. Molecular BioSystems, 9(3):398–406, March 2013.
†PubMed ga13aHongweiShao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23287963.
[855] Hong Xiao, Xiaoling Lin, Lidong Gao, Cunrui Huang, Huaiyu Tian, Na Li, Jianxin Qin, Peijuan Zhu,
Biyun Chen, Xixing Zhang, and Jian Zhao. Ecology and geography of hemorrhagic fever with renal
syndrome in Changsha, China. BMC Infectious Diseases, 13:305, 2013. †PubMed ga13aHongXiao ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23819824.
[856] Hussein Hijazi and Christina Chan. A classification framework applied to cancer gene expression profiles.
Journal of Healthcare Engineering, 4(2):255–283, 2013. †PubMed ga13aHusseinHijazi ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/23778014.
118
Genetic algorithms in medicine
[857] J. J. McDowell. A quantitative evolutionary theory of adaptive behavior dynamics. Psychological Review,
120(4):731–750, October 2013. †PubMed ga13aJJMcDowell ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
24219847.
[858] Jonas Kalderstam, Patrik Eden, Par-Ola Bendahl, Carina Strand, Marten Ferno, and Mattias Ohlsson.
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. Artificial Intelligence in Medicine, 58(2):125–132, June 2013. †PubMed ga13aJonasKalderstam
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23582884.
[859] Joon Lee, Sapna Govindan, Leo A. Celi, Kamal R. Khabbaz, and Balachundhar Subramaniam. Customized prediction of short length of stay following elective cardiac surgery in elderly patients using a
genetic algorithm. World Journal of Cardiovascular Surgery, 3(5):163–170, September 2013. †PubMed
ga13aJoonLee ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24482754.
[860] Koen Van der Borght, Ann Verheyen, Maxim Feyaerts, Liesbeth Van Wesenbeeck, Yvan Verlinden, Elke
Van Craenenbroeck, and Herman van Vlijmen. Quantitative prediction of integrase inhibitor resistance
from genotype through consensus linear regression modeling. Virology Journal, 10:8, 2013. †PubMed
ga13aKoenVanderBorght ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23282253.
[861] Laura Matrajt, M. Elizabeth Halloran, and Ira M. Jr Longini. Optimal vaccine allocation for the
early mitigation of pandemic influenza. PLoS Computational Biology, 9(3):e1002964, 2013. †PubMed
ga13aLauraMatrajt ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23555207.
[862] L. H. Ngo, I. B. Darby, P. D. Veith, A. G. Locke, and E. C. Reynolds. Mass spectrometric analysis of gingival
crevicular fluid biomarkers can predict periodontal disease progression. Journal of Periodontal Research,
48(3):331–341, June 2013. †PubMed ga13aLHNgo ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23050757.
[863] Lijun Wang, Chao Han, Wenjun Sui, Mei Wang, and Xinxin Lu. MALDI-TOF MS applied to indirect
carbapenemase detection: a validated procedure to clearly distinguish between carbapenemase-positive
and carbapenemase-negative bacterial strains. Analytical and Bioanalytical Chemistry, 405(15):5259–5266,
June 2013. †PubMed ga13aLijunWang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23584712.
[864] Li Li, Hongmei Chen, Chang Liu, Fang Wang, Fangfang Zhang, Lihua Bai, Yihan Chen, and Luying Peng.
A robust hybrid approach based on estimation of distribution algorithm and support vector machine for
hunting candidate disease genes. TheScientificWorldJournal, 2013:393570, 2013. †PubMed ga13aLiLi
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23476131.
[865] Linfei Xiong, Chee-Kong Chui, and Chee-Leong Teo. Reality based modeling and simulation of gallbladder
shape deformation using variational methods. International Journal of Computer Assisted Radiology and
Surgery, 8(5):857–865, September 2013. †PubMed ga13aLinfeiXiong ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/23443982.
[866] L. Leon Chen, Radhika Madhavan, Benjamin I. Rapoport, and William S. Anderson. Real-time brain
oscillation detection and phase-locked stimulation using autoregressive spectral estimation and time-series
forward prediction. IEEE Transactions on Bio-medical Engineering, 60(3):753–762, March 2013. †PubMed
ga13aLLeonChen ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21292589.
[867] Louis Mayaud, Peggy S. Lai, Gari D. Clifford, Lionel Tarassenko, Leo Anthony Celi, and Djillali Annane.
Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and
hypotension. Critical Care Medicine, 41(4):954–962, April 2013. †PubMed ga13aLouisMayaud ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/23385106.
[868] Macheng Yan, Fuyuan Ye, Yuquan Zhang, Xi Cai, Yanhua Fu, and Xuming Yang. Optimization model
research on efficacy in treatment of chronic urticaria by Chinese and Western medicine based on a
genetic algorithm. Journal of Traditional Chinese Medicine, 33(1):60–64, February 2013. †PubMed
ga13aMachengYan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23596813.
[869] Manuel Fogue, Piedad Garrido, Francisco J. Martinez, Juan-Carlos Cano, Carlos T. Calafate, and Pietro
Manzoni. A novel approach for traffic accidents sanitary resource allocation based on multi-objective
genetic algorithms. Expert Systems with Applications, 40(1):323–336, January 2013. ga13aManuelFogue
⇒ http://www.sciencedirect.com/science/article/pii/S0957417412009116.
[870] Mariela F. Razuc, Marcos Grunhut, Elbio Saidman, Mariano Garrido, and Beatriz Fernande Band. Green
method based on a flow-batch analyzer system for the simultaneous determination of ciprofloxacin and
dexamethasone in pharmaceuticals using a chemometric approach. Talanta, 115:314–322, October 2013.
†PubMed ga13aMarielaFRazuc ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24054597.
[871] Mathias M. Adankon, Najat Chihab, Jean Dansereau, Hubert Labelle, and Farida Cheriet. Scoliosis followup using noninvasive trunk surface acquisition. IEEE Transactions on Bio-medical Engineering, 60:2262–
2270, 2013. †PubMed ga13aMathiasMAdankon ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23508244.
Bibliography
119
[872] Matthew B. Fitzgerald, Elad Sagi, Tasnim A. Morbiwala, Chin-Tuan Tan, and Mario A. Svirsky. Feasibility
of real-time selection of frequency tables in an acoustic simulation of a cochlear implant. Ear and Hearing,
34(6):763–772, 2013. †PubMed ga13aMatthewBFitzgerald ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23807089.
[873] Mingfeng Jiang, Shanshan Jiang, Lingyan Zhu, Yaming Wang, Wenqing Huang, and Heng Zhang. Study on
parameter optimization for support vector regression in solving the inverse ECG problem. Computational
and Mathematical Methods in Medicine, 2013:158056, 2013. †PubMed ga13aMingfengJiang ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/23983808.
[874] Ming Yang, Josiah Poon, Shaomo Wang, Lijing Jiao, Simon Poon, Lizhi Cui, Peiqi Chen, Daniel ManYuen Sze, and Ling Xu. Application of genetic algorithm for discovery of core effective formulae in TCM
clinical data. Computational and Mathematical Methods in Medicine, 2013:971272, 2013. †PubMed
ga13aMingYang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24288577.
[875] Mostafa Khajeh, Ali Sarafraz-Yazdi, and Zahra Bamer Natavan. Combination of artificial neural network
and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water
samples. Toxicology and Industrial Health, 2013. †PubMed ga13aMostafaKhajeh ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/24152432.
[876] Muchenxuan Tong, Kun-Hong Liu, Chungui Xu, and Wenbin Ju. An ensemble of SVM classifiers
based on gene pairs. Computers in Biology and Medicine, 43(6):729–737, July 2013.
†PubMed
ga13aMuchenxuanTong ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23668348.
[877] Nilanjan Adhikari, Amit Kumar Halder, Chanchal Mondal, and Tarun Jha. Ligand based validated
comparative chemometric modeling and pharmacophore mapping of aurone derivatives as antimalarial
agents. Current Computer-aided Drug Design, 9:417–432, 2013. †PubMed ga13aNilanjanAdhikari ⇒
http://www.ncbi.nlm.nih.gov/pubmed/24010937.
[878] Paolo Patete, Gino Rigotti, Alessandra Marchi, and Guido Baroni. Computer assisted planning of autologous fat grafting in breast. Computer Aided Surgery, 18(1-2):10–18, 2013. †PubMed ga13aPaoloPatete
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23253184.
[879] Pedram Pahlavan, Siamak Najarian, Elnaz Afshari, and Majid Moini. Artery cross-clamping during laparoscopic vascular surgeries; a computational tactile sensing approach. Bio-medical Materials and Engineering, 23(5):423–432, 2013. †PubMed ga13aPedramPahlavan ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/23988712.
[880] Rasoul Sali, Hamidreza Roohafza, Masoumeh Sadeghi, Elham Andalib, Hassan Shavandi, and Nizal Sarrafzadegan. Validation of the revised stressful life event questionnaire using a hybrid model of genetic algorithm and artificial neural networks. Computational and Mathematical Methods in Medicine, 2013:601640,
2013. †PubMed ga13aRasoulSali ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23476715.
[881] Ryan S. Senger and Hadi Nazem-Bokaee. Resolving cell composition through simple measurements,
genome-scale modeling, and a genetic algorithm. Methods in Molecular Biology, 985:85–101, 2013.
†PubMed ga13aRyanSSenger ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23417800.
[882] Saule Kulubekova and J. J. McDowell. Computational model of selection by consequences: patterns of
preference change on concurrent schedules. Journal of the Experimental Analysis of Behavior, 100(2):147–
164, September 2013. †PubMed ga13aSauleKulubekova ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23897587.
[883] Seyed Ali Jafari, Sepideh Jahandideh, Mina Jahandideh, and Ebrahim Barzegari Asadabadi. Prediction
of road traffic death rate using neural networks optimised by genetic algorithm. International Journal of
Injury Control and Safety Promotion, 2013. †PubMed ga13aSeyedAliJafari ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/24304230.
[884] Thomas Wright and Jamie Ward. The evolution of a visual-to-auditory sensory substitution device using
interactive genetic algorithms. Quarterly Journal of Experimental Psychology, 66(8):1620–1638, August
2013. †PubMed ga13aThomasWright ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23298393.
[885] Ting Zhang, Jiang Du, Ying Xue, Haoxiang Su, Fan Yang, and Qi Jin. Epidemics and frequent recombination within species in outbreaks of human enterovirus B-associated hand, foot and mouth disease
in Shandong China in 2010 and 2011. PloS One, 8(6):e67157, 2013. †PubMed ga13aTingZhang ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23840610.
[886] Ujjwal Maulik, Anirban Mukhopadhyay, Malay Bhattacharyya, Lars Kaderali, Benedikt Brors, Sanghamitra Bandyopadhyay, and Roland Eils. Mining quasi-bicliques from HIV-1-human protein interaction network: a multiobjective biclustering approach. IEEE/ACM Transactions on Computational
120
Genetic algorithms in medicine
Biology and Bioinformatics, 10(2):423–435, March-April 2013.
http://www.ncbi.nlm.nih.gov/pubmed/23929866.
†PubMed
ga13aUjjwalMaulik ⇒
[887] Wei-Yen Hsu. Improving classification accuracy of motor imagery EEG using genetic feature selection.
Clinical EEG and Neuroscience, 45(3):163–168, September 2013. †PubMed ga13aWei-YenHsu ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/24048242.
[888] Weifang Shi and Weihua Zeng. Genetic k-means clustering approach for mapping human vulnerability
to chemical hazards in the industrialized city: a case study of Shanghai, China. International Journal of
Environmental Research and Public Health, 10(6):2578–2595, June 2013. †PubMed ga13aWeifangShi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23787337.
[889] Xianxiao Zhou, Bailiang Li, Yuannv Zhang, Yunyan Gu, Beibei Chen, Tongwei Shi, Lu Ao, Pengfei Li,
Shan Li, Chunyang Liu, and Zheng Guo. A relative ordering-based predictor for tamoxifen-treated estrogen
receptor-positive breast cancer patients: multi-laboratory cohort validation. Breast Cancer Research and
Treatment, 142(3):505–514, December 2013. †PubMed ga13aXianxiaoZhou ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/24253811.
[890] Xiaoyan Sun, Dunwei Gong, Yaochu Jin, and Shanshan Chen. A new surrogate-assisted interactive genetic
algorithm with weighted semisupervised learning. IEEE Transactions on Systems, Man, and Cybernetics.
Part B, Cybernetics, 43(2):685–698, September 2013. †PubMed ga13aXiaoyanSun ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23014759.
[891] Xiao Yu Chen, Li Zhuang Ma, Na Chu, Min Zhou, and Yiyang Hu. Classification and progression based on
CFS-GA and C5.0 boost decision tree of TCM Zheng in chronic hepatitis B. Evidence-based Complementary
and Alternative Medicine : ECAM, 2013. †PubMed ga13aXiaoYuChen ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/23431345.
[892] Xiuli Qu, Yidong Peng, Nan Kong, and Jing Shi. A two-phase approach to scheduling multi-category
outpatient appointments–a case study of a women’s clinic. Health Care Management Science, 16(3):197–
216, September 2013. †PubMed ga13aXiuliQu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23494360.
[893] Xun Liu, Xiaohua Pei, Ningshan Li, Yunong Zhang, Xiang Zhang, Jinxia Chen, Linsheng Lv, Huijuan
Ma, Xiaoming Wu, Weihong Zhao, and Tanqi Lou. Improved glomerular filtration rate estimation by an
artificial neural network. PloS One, 8(3):e58242, 2013. †PubMed ga13aXunLiu ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23516450.
[894] Yongyut Amaritsakul, Ching-Kong Chao, and Jinn Lin. Multiobjective optimization design of spinal pedicle screws using neural networks and genetic algorithm: mathematical models and mechanical validation.
Computational and Mathematical Methods in Medicine, 2013. †PubMed ga13aYongyutAmaritsakul ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23983810.
[895] Young-Jin Jung, Jung-Hoon Kim, Daejeong Kim, and Chang-Hwan Im. An image-guided transcranial
direct current stimulation system: a pilot phantom study. Physiological Measurement, 34(8):937–950,
August 2013. †PubMed ga13aYoung-JinJung ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23897099.
[896] Yukako Tohsato, Kunihiko Ikuta, Akitaka Shionoya, Yusaku Mazaki, and Masahiro Ito. Parameter optimization and sensitivity analysis for large kinetic models using a real-coded genetic algorithm. Gene,
518(1):84–90, April 2013. †PubMed ga13aYukakoTohsato ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23274652.
[897] Hadi Noorizadeh, Abbas Farmany, Hojat Narimani, and Mehrab Noorizadeh. QSRR using evolved artificial
neural network for 52 common pharmaceuticals and drugs of abuse in hair from UPLC-TOF-MS. Drug
Testing and Analysis, 5(5):320–324, May 2013. †PubMed ga13bHadiNoorizadeh ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/21905247.
[898] Wei-Yen Hsu. Application of quantum-behaved particle swarm optimization to motor imagery EEG
classification. International Journal of Neural Systems, 23(6):1350026, December 2013.
†PubMed
ga13bWei-YenHsu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24156669.
[899] Wei-Yen Hsu. Single-trial motor imagery classification using asymmetry ratio, phase relation, waveletbased fractal, and their selected combination. International Journal of Neural Systems, 23(2):1350007,
April 2013. †PubMed ga13cWei-YenHsu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23578057.
[900] Alejo J. Nevado-Holgado, Nicolas Mallet, Peter J. Magill, and Rafal Bogacz. Effective connectivity of the
subthalamic nucleus-globus pallidus network during Parkinsonian oscillations. The Journal of Physiology,
592(Pt 7):1429–1455, April 2014. †PubMed ga14aAlejoJNevado-Holgado ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/24344162.
Bibliography
121
[901] Giulio Ruffini, Michael D. Fox, Oscar Ripolles, Pedro Cavaleiro Miranda, and Alvaro Pascual-Leone.
Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from
realistic modeling of electric fields. NeuroImage, 89:216–225, April 2014. †PubMed ga14aGiulioRuffini
⇒ http://www.ncbi.nlm.nih.gov/pubmed/24345389.
[902] Jeong-Hoon Park, Hyun-Tai Chung, Dong Gyu Kim, Young-Hoon Kim, Jung Ho Han, Chae-Yong Kim,
Chang Wan Oh, and Tae Suk Suh. Coordinate transformation after stereotactic frame reapplication in
gamma knife radiosurgery. Physica Medica, 30(2):171–177, March 2014. †PubMed ga14aJeong-HoonPark
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23764297.
[903] Khantharat Anekboon, Chidchanok Lursinsap, Suphakant Phimoltares, Suthat Fucharoen, and Sissades
Tongsima. Extracting predictive SNPs in Crohn’s disease using a vacillating genetic algorithm and a
neural classifier in case-control association studies. Computers in Biology and Medicine, 44, January 2014.
†PubMed ga14aKhantharatAnekboon ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24377689.
[904] Michael Mace, Nada Yousif, Mohammad Naushahi, Khondaker Abdullah-Al-Mamun, Shouyan Wang,
Dipankar Nandi, and Ravi Vaidyanathan. An automated approach towards detecting complex behaviours in deep brain oscillations. Journal of Neuroscience Methods, 224:66–78, March 2014. †PubMed
ga14aMichaelMace ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24370598.
[905] Mohammad-Bagher Gholivand, Ali R. Jalalvand, Hector C. Goicoechea, and Thomas Skov. Chemometricsassisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage. Talanta, 119:553–563,
February 2014. †PubMed ga14aMohammad-BagherGholivand ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
24401455.
[906] Qiao Li, Cadathur Rajagopalan, and Gari D. Clifford. Ventricular fibrillation and tachycardia classification
using a machine learning approach. IEEE Transactions on Bio-medical Engineering, 61(6):1607–1613, June
2014. †PubMed ga14aQiaoLi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23899591.
[907] Szymon Wasik, Paulina Jackowiak, Marek Figlerowicz, and Jacek Blazewicz. Multi-agent model of hepatitis C virus infection. Artificial Intelligence in Medicine, 60(2):123–131, February 2014. †PubMed
ga14aSzymonWasik ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24309221.
[908] U. R. Acharya, M. R. K. Mookiah, S. Vinith Sree, R. Yanti, R. J. Martis, L. Saba, F. Molinari, S. Guerriero,
and J. S. Suri. Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer
tissue characterization and classification. Ultraschall in Der Medizin, 35(3):237–245, June 2014. †PubMed
ga14aURAcharya ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23258769.
[909] Michael von Rad. Anlage und umwelt. Bemerkungen zu W. Braeutigams Ursachen bei neurotischen
und psychosomatischen Erkrankungen. [Disposotion and environment: Comments on W. Braeutischen’s
etiologocal questions regarding neurotic and psychosomatic disorders. . Zeitschrift f¨
ur Psychosomatische
Medizin und Psychoanalyse, 36(3):213–215, ? 1990. * PsycINFO1991-70782-001 ga90aMvonRad.
[910] Richard Comely and Walter S. Kuklinski. Application of genetic optimization to medical image segmentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,
Springfield, MA, 17.-18. March 1994. IEEE, New York. * EI M177024/94 ga94aComely.
[911] Gary Allen Ezzell. Genetic and geometric optimization of three-dimensional radiation therapy treatment
planning. PhD thesis, Wayne State University, 1994. * DAI Vol 56 No 2 ga94aEzzell.
[912] Madjid Fathi, Christopher Tresp, Jens Hiltner, and Kay Becker. Fuzzy-set optimization in use of medical
MR-image analysis based on evolution strategies. In Proceedings of the Advances in Fuzzy Logic, Neural
Networks and Genetic Algorithms, pages 135–142, Nagoya (Japan), 9.-10. August 1994 1994. SpringerVerlag, Berlin (Germany). ga94aFathi ⇒ ga94WWW.
[913] D. Flotzinger, M. Pregenzer, and G. Pfurtscheller. Feature selection with distinction sensitive learning
vector quantisation and genetic algorithms. In Proceedings of ICCI94/Neural Networks, volume 6, pages
3448–3451, Orlando, FL, 26. June - 2. July 1994. IEEE, New York, NY. ga94aFlotzinger.
[914] S. Kishi, K. Sugiyama, M. Arafuka, and Y. Hasegawa. Knowledge extraction from neural networks using
genetic algorithms. In ?, editor, Proceedings of the International Conference on Neural Networks and
Expert Systems in Medicine and Healthcare, pages 53–58, Plymouth (UK), 23.-26. August 1994. University
of Plymouth, Plymouth (UK). * CCA 41737/95 ga94aKishi.
[915] Daniel R. Thedens. Detector design by genetic programming for automated border definition in cardiac
magnetic resonance images. In John R. Koza, editor, Genetic Algorithms at Stanford 1994, page ?, Stanford,
CA, Fall 1994. Stanford Bookstore. †conf.prog ga94aThedens.
122
Genetic algorithms in medicine
[916] Stefano Cagnoni, A. B. Dobrzeniecki, J. C. Yanch, and Riccardo Poli. Interactive segmentation of multidimensional medical data with contour-based application of genetic algorithms. In Proceedings of the
ICIP-94, volume 3, pages 498–502, Austin, TX, 13.-16. November 1994. IEEE Computer Society Press,
Los Alamitos , CA. * EEA81543/94 ga94bCagnoni.
[917] C. D. Edirisinghe, R. S. Acharya, and C. Sibata. Optimization radiation therapy planning using genetic algorithms. In Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine
and Biology Society, volume 2, pages 1384–1385, Baltimore, MD, 3.-6. November 1994. IEEE, New York,
NY. †EEA7645/95 ga94bEdirisinghe.
[918] Clare Bates Congdon. A comparison of genetic algorithms and other machine learning systems on a
complex classification task from common disease research. PhD thesis, The University of Michigan, 1995.
* DAI Vol 56 No 4 ga95aCongdon.
[919] O. C. L. Haas, K. J. Burnham, M. H. Fisher, and J. A. Mills. Genetic algorithm applied to radiotherapy
treatment planning. In D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors, Artificial Neural Nets and
Genetic Algorithms, pages 432–435, Al`es (France), 19.-21. April 1995. Springer-Verlag, Wien New York.
ga95aHaas.
[920] A. V. Sebald and David B. Fogel. Controlling blood pressure during surgery using evolutionary programming. In McDonnell et al. [1168], page ? †conf.prog ga95aSebald.
[921] Peter D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree
induction algorithm. Journal of Artificial Intelligence Research, 2(?):369–409, ? 1995. ga95aTurney.
[922] N. Williams, J. B. Minster, G. Masters, and F. Gilbert. Application of evolutionary programming to
hypocenter determination. In McDonnell et al. [1168], page ? †conf.prog ga95aWilliams.
[923] Daniel K. Gehlhaar, Gennady M. Verkhivker, Paul A. Rejto, Christopher J. Sherman, David B. Fogel,
Lawrence J. Fogel, and Stephan T. Freer. Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming. Chemistry and Biology, 2(5):317–
324, May 1995. ga95bGehlhaar.
[924] Michael Levin. Use of genetic algorithms to solve biomedical problems. M. D. Comput. (USA), 12(3):193–
199, May-June 1995. * CCA 66800/95 ga95bLevin.
[925] Don E. Waagen, M. D. Parsons, John R. McDonnell, and F. L. Datz. Evolving polydistributional mixtures
for mammographic feature modeling and analysis. In ICEC’95 [1169], pages 783–787. †prog. ga95bWaagen.
[926] David B. Fogel, Eugene C. Wasson III, and Edward M. Boughton. Evolving neural networks for detecting
breast cancer. Cancer Letters, 96(?):49–53, ? 1995. ga95hFogel.
[927] Jesus Silva Castro. Electrocardiographic signal analysis using genetic algorithms (GAs). In Proceedings of the 1996 23rd Annual Meeting on Computers in Cardiology, pages 445–448, Indianapolis, IN, 8.11. September 1996. IEEE Computer Society Press, Los Alamitos, CA. * EEA 49615/97 EI M034806/97
ga96aCastro.
[928] R. Dybowski, P. Weller, R. Chang, and V. Gant. Prediction of outcome in critically ill patients using
artificial neural network synthesised by genetic algorithm. Lancet, 347(9009):1146–1150, 27. April 1996.
†MEDLINE ga96aDybowski.
[929] John H. Holmes. Evolution-Assisted Discovery of Sentinel Features in Epidemiologic Surveillance. PhD
thesis, Drexel University, 1996. †[?] ga96aJHHolmes.
[930] B. Kloppel and G. Winterer. Relapse prediction with alcoholics: a combined neural network/genetic
algorithm approach using EEG. In Proceedings of the Fourth European Congress on Intelligent Techniques
and Soft Computing, volume 3, pages 2112–2116, Aachen (Germany), 2.-5. September 1996. Verlag Mainz,
Aachen (Germany). †CCA49028/98 ga96aKloppel.
[931] J. LeFevre. Pareto optimisation of the control of a cardiac assist device using multicriteria, rank and nichebased genetic algorithms hybridised with breeding and gradient methods. In Proceedings of the Symposium
on Control, Optimization and Supervision, volume 2, pages 1141–1145, Lille, France, 9.-12. July 1996. Gerf
EC Lille - Cite Scientifique, Lille, France. †CCA47394/97 ga96aLeFevre.
[932] Derek A. Linkens and H. Okola Nyongesa. Hierarchical multivariable fuzzy controller for learning with
genetic algorithms. International Journal of Control, 63(5):865–883, 20. March 1996. ga96aLinkens.
[933] Craig Niederberger. Computational tools for the modern andrologist. Journal of Andrology, 17(5):462–466,
1996. †BAb37321 ga96aNiederberger.
Bibliography
123
[934] O. C. L. Haas, K. J. Burnham, J. A. Mills, C. R. Reeves, and M. H. Fisher. Hybrid genetic algorithms
applied to beam orientation in radiotherapy. In Proceedings of the Fourth European Congress on Intelligent
Techniques and Soft Computing, volume 3, pages 2050–2055, Aachen (Germany), 2.-5. September 1996.
Verlag Mainz, Aachen (Germany). †CCA56031/98 ga96aOCLHaas.
[935] Constantinos S. Pattichis and Christos N. Schizas. Genetic-based machine learning for the assessment
of certain nuromuscular disorders. IEEE Transactions on Neural Networks, 7(2):427–439, March 1996.
ga96aPattichis.
[936] Kimmo Uutela, Matti H¨
am¨
al¨
ainen, and Riitta Salmelin. Global optimization in the localization of brain
activity. Report TKK-F-A759, Helsinki University of Technology, Low Temperature Laboratory, 1996.
ga96aUutela.
[937] Gennady M. Verkhivker, Paul A. Rejto, Daniel K. Gehlhaar, and Stephan T. Freer. Exploring the energy
landscapes of molecular recognition by a genetic algorithm: Analysis of the requirements for robust docking
of HIV-1 protease and FKBP-12 complexes. Proteins: Structure, Function, and Genetics, 25(3):342–353,
July 1996. ga96aVerkhivker.
[938] Y. Chen, M. Narita, M. Tsuji, and S. D. Sa. A genetic algorithm approach to optimization for the radiological worker allocation problem - discussions on different hard constraints. In Proceedings of the Ninth
International Congress of the International Radiation Protection Association, volume 4, pages D457–D459,
Vienna, Austria, 14.-19. April 1996. Int. Radiation Protection Assoc., Montreal. †P74208 ga96aYChen.
[939] Mitsuhiko Hasegawa, Hiroyuki Matsumoto, and Akira Shionoya. GA-based estimation method for human
muscle parameter in elbow flexion. Nippon Kikai Gakkai Ronbunshu C Hen, 62(596):1426–1432, 1996. †EI
M120478/96 ga96bHasegawa.
[940] Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Michell M. Goodsitt, and Dorit D.
Adler. Classification of mass and normal breast-tissue-feature-selection using a genetic algorithm. In
Digital Mammography ’96, pages 379–384, 1996. †P74190 ga96bSahiner.
[941] Y. Chen, M. Narita, M. Tsuji, and S. Sa. A genetic algorithm approach to optimization for the radiological
worker allocation problem. Health Physics, 70(2):180–186, February 1996. †MEDLINE ga96bYChen.
[942] Alan C. Rigby, James D. Baleja, Leling Li, Lee G. Pedersen, Barbara C. Furie, and Bruce Furie. Role
of γ-carboxyglutamic acid in the calcium-induced structural transition of conantokin G, a conotoxin from
the marine snail conus geographus. Biochemistry, 36(50):15677–15684, 16. December 1997. ga97aACRigby.
[943] C. Albani, B. Villmann, and Th. Villmann. Application of genetic algorithms to the problem of new
clustering of psychological categories using real clinical data sets. In ?, editor, Proceedings of the International Conference on Computational Intelligence, Lecture Notes in Computer Science, page ?, Dortmund
(Germany), 28.-30. April 1997. Springer-Verlag, Berlin. (to appear) †conf. prog. ga97aAlbani.
[944] R. Baumgart-Schmitt, W. M. Herrmann, R. Eilers, and F. Bes. On the use of neural network techniques
to analyse sleep EEG data. first communication: application of evolutionary and genetic algorithms to
reduce the feature space and to develop classification rules. Neuropsychobiology, 36(?):194–210, ? 1997.
†[1013] ga97aBaumgart-Schmitt.
[945] Basilio Sierra and Pedro Larra˜
naga. Predicting survival in malignant skill melanoma using Bayesian networks automatically induced by genetic algorithms - an empirical-comparison between different approaches.
Artificial Intelligence in Medicine, 14(1-2):215, 1997. †P82305 ga97aBSierra.
[946] C. P. Wong and M. J. Pont. Automated parameter for a computer simulation of auditory nerve fibre
activity using genetic algorithms. In George D. Smith and Nigel C. Steele, editors, Proceedings of the
International Conference on Artificial Neural Networks and Genetic Algorithms, pages 98–102, Norwich,
UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97aCPWong.
[947] David B. Fogel, Eugene C. Wasson III, Edward M. Boughton, V. W. Porto, and J. W. Shively. Initial
results of training neural networks to detect breast cancer using evolutionary programming. Control
Cybern. (Poland), 26(3):497–510, 1997. †CCA15927/98 ga97aDBFogel.
[948] Heitor S. Lopes, M.S. Coutinho, and W. C. de Lima. An evolutionary approach to simulate cognitive
feedback learning in medical domain. In Elie Sanchez, Toshio Shibata, and Lotfi A. Zadeh, editors,
Genetic Algorithms and Fuzzy Logic Systems, pages 193–207. World Scientific, Singapore, 1997. †Lopes
ga97aHSLopes.
[949] M. A. Janssen and J. M. Martens. Modeling malaria as a complex adaptive system. Artificial Life,
3(3):213–236, 1997. †BA3987 ga97aJanssen.
124
Genetic algorithms in medicine
[950] Miles F. Jefferson, Neil Pendleton, Sam B. Lucas, and Michael A. Horan. Comparison of a genetic algorithm
neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell
lung carcinoma. Cancer Letters, 79(7):1338–1342, 1997. †BAb129197 ga97aJefferso.
[951] J. Y. Ke, K. S. Tang, and K. F. Man. Genetic fuzzy classifier for benchmark cancer diagnosis. In Proceedings
of the 23rd International Conference on Industrial Electronics, Control, and Instrumentation, volume 3,
pages 1063–1067, New Orleans, LA, 10.-14. November 1997. IEEE. * www /IEEE ga97aJYKe.
[952] Jorma Laurikkala. Parameter evaluation and genetic-based rule learning for the differential diagnosis of
female urinary incontinence. Tech. lic. thesis, University of Kuopio, Department of Computer Science and
Applied Mathematics, 1997. ga97aLaurikkala.
[953] M. N. Ahmed, Sameh M. Yamany, Elsayed E. Hemayed, and Aly A. Farag. 3D-model building of the jaw
impression. In Richard N. Ellson and Joseph H. Nurre, editors, Three-Dimensional Image Capture, volume
SPIE-3023, pages 87–97, ?, March 1997. The International Society for Optical Engineering. * www/SPIE
Web ga97aMNAhmed.
[954] O. C. L. Haas, K. J. Burnham, and J. A. Mills. On improving physical selectivity in the treatment of
cancer: a systems modelling and optimisation approach. Control Engineering Practice, 5(12):1739–1745,
1997. †PA21977/98 ga97aOCLHaas.
[955] V. Proutski, M. W. Gaunt, E. A. Gould, and E. C. Holmes. Secondary structure of the 3’-untranslated
region of yellow fever virus. Journal of General Virology, 78(?):1543–1549, ? 1997. †David E. Clark/bib
ga97aProutski.
[956] T. Olmez. Classifiation of ECG waveforms by using RCE neural networks and genetic algorithms. Electronics Letters, 33(18):1561–1562, 1997. †EI M010399/98 ga97aTOlmez.
[957] Pedro Larra naga, Basilio Sierra, M. J. Gallego, M. J. Michelena, and J. M. Picaza. Learning Bayesian
networks by genetic algorithms: a case study in the prediction of survival in malignant skin melanoma. In
Proceedings of the 6th Conference on Artificial Intelligence in Medicine Europe, pages 261–272, Grenoble
(France), 23.-26. March 1997. Springer-Verlag, Berlin (Germany). †CCA68337/97 ga97bLarranaga.
[958] Peter E. Undrill, Konstantinos K. Delibasis, and George G. Cameron. An application of genetic algorithms
to geometric model-guided interpretation of brain anatomy. Pattern Recognition, 30(2):217–227, February
1997. ga97bUndrill.
[959] Xin Yao and Yong Liu. A new evolutionary system for evolving artificial neural networks. IEEE Transactions on Neural Networks, 8(3):694–713, May 1997. ga97bYao.
[960] Basilio Sierra and Pedro Larra˜
naga. Predicting survival in malignant skin melanoma using Bayesian
networks automatically induced by genetic algorithms. An empirical comparison between different approaches. Artificial Intelligence in Medicine, 14(1-2):215–230, 10. September 1998. * www /ScienceDirect
ga98aBasilioSierra.
[961] R. Baumgart-Schmitt, W. M. Herrmann, and R. Eilers. On the use of neural network techniques to analyse
sleep EEG data. third communication: robustification of the classificator by applying an algorithm obtained
from 9 different networks. Neuropsychobiology, 37(?):49–58, ? 1998. †[1013] ga98aBaumgart-Schmitt.
[962] B. J. Carnahan and M. S. Redfern. Building a low back injury risk classifier using evolutionary computation.
In Proceedings of the Human Factors and Ergonomics Society, volume 2, pages 881–885, Chicago, IL
(USA), 5.-9. October 1998. Human Factors & Ergonomics Soc, Santa Monica, CA (USA). †CCA67886/99
ga98aCarnahan.
[963] Du-Yih Tsai and S. Watanabe. A method for optimisation of fuzzy reasoning by genetic algorithms and
its application to discrimination of myocardial heart disease. In Conference Record. 1998 IEEE Nuclear
Science Symposium, volume 3, pages 1756–1761, Toronto, Ont., Canada, 8.-14.November 1998. IEEE,
Piscataway, NJ. * www/IEEE ga98aD-YTsai.
[964] E. D. Frederick and C. E. Floyd. Analysis of mammographic findings and patient history data with genetic
algorithms for the prediction of breast cancer biopsy outcome. volume SPIE-3338, pages 241–245. Proc.
SPIE - Int. Soc. Opt. Eng. (USA), 1998. †PA39678/99 ga98aEDFrederick.
[965] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. A new approach for automatic recognition of
melanoma in profilometry-optimized feature selection using genetic algorithms. volume SPIE-3338, pages
684–692. Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1998. †PA39618/99 ga98aHandels.
[966] M. F. Jefferson, N. Pendleton, S. Mohamed, E. Kirkman, R. A. Little, S. B. Lucas, and M. A. Horan. Prediction of hemorrhagic blood loss with a genetic algorithm neural network. Journal of Applied Physiology,
84(1):357–361, 1998. †BA87806 ga98aJefferson.
Bibliography
125
[967] Jeffrey Sniffen Taylor. Computational biology: Methods in automated molecular docking with applications
in industrial virology and antibody-antigen recognition. PhD thesis, University of Pennsylvania, 1998. *
www /UMI ga98aJeffreySTaylor.
[968] Leming M. Shi, Yi Fan, Timothy G. Myers, Patrick M. O’Connor, Kenneth D. Paull, Stephen H. Friend,
and John N. Weinstein. Mining the NCI anticancer drug discovery databases: genetic function approximation for the QSAR study of anticancer ellipticine analogues. Journal of Chemical Information and
Computer Sciences, 38(2):189–199, March/April 1998. ga98aLMShi.
[969] Nicolaos A. Mouravliansky, George K. Matsopoulos, Konstantinos K. Delibasis, and Konstantina S. Nikita.
Automatic retinal registration using global optimization techniques. In Proceedings of the 20th Annual
International Conference of the IEEE Engineering in Medicine and Biology Society, volume 2, pages 567–
570, Hong Kong (China), 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ. ga98aMouravliansky.
[970] M. Nayebzadeh, H. Bigdeli, Z. S. Hosseini, and J. Soltanian. Real-time identification of fetal arrhythmia
using a genetic algorithm. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft
Computing, volume 3, pages 1867–1871, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen
(Germany). †CCA84599/99 ga98aNayebzad.
[971] O. C. L. Haas, K. J. Burnham, and J. A. Mills. Hybrid optimisation techniques for radiotherapy treatment
planning. In Proceedings of the 1998 IEEE International Conference on Control Applications, volume 1,
pages 368–372, Trieste, Italy, 1.-4. September 1998. IEEE, New York, NY. †PA23757/99 ga98aOCLHaas.
[972] V. Podforelec and P. Kokol. Evolutionary construction of medical decision trees. In Proceedings of the
20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 3,
pages 1202–1205, Hong Kong (China), 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ. †CCA84679/99
ga98aPodforelec.
[973] Qing Ding, Gary W. Small, and Mark A. Arnold. Genetic algorithm-based wavelength selection for the
near-infrared determination of glucose in biological matrixes: initialization strategies and effects of spectral
resolution. Analytical Chemistry, 70(?):4472–4479, ? 1998. ga98aQingDing.
[974] S. Baluja and Dan Simon. Evolution-based methods for selecting point data for object localization: applications to computer-assisted surgery. Int. J. Artif. Intell. Neural Netw. Complex Probl.-Solving Technol.
(Netherlands), 8(1):7–19, 1998. †CCA49259/98 ga98aSBaluja.
[975] T. Kamano, T. Yasuno, T. Suzuki, S. Urushihara, H. Harada, and H. Satake. An application of genetic
algorithm for parameter estimation in Hodgkin-Huxley equation under anaesthetizing. Trans. Inst. Electr.
Eng. Jpn. C (Japan), 118-C(12):1692–1697, 1998. In Japanese †PA39379/99 ga98aTKamano.
[976] T. Onuki, S. Wakao, T. Miyokawa, and Y. Nishimura. Design optimization of simulation coil system for
nerve stimulation. IEEE Transactions on Magnetics, 34(4):2159–2161, July 1998. ga98aTOnuki.
[977] V. Booth. A genetic algorithm study on the influence of dendritic plateau potentials on bistable spiking
in motoneurons. Neurocomputing (Netherlands), 26-27:69–78, 1998. †CCA68502/99 ga98aVBooth.
[978] Th. Villmann, A. Korner, and C. Albani. Application of evolutionary algorithms to reformulation of
categories in psychotherapy research. In Proceedings of the 6th European Congress on Intelligent Techniques
and Soft Computing, volume 3, pages 1842–1847, Aachen (Germany), 7.-10. September 1998. Verlag Mainz,
Aachen (Germany). †CCA78614/99 ga98aVillmann.
[979] W. H. Land, L. Albertelli, Y. Titkov, P. Kaltsatis, and G. Seburyano. Evolution of neural networks for
the detection of breast-cancer. In Proceedings of the IEEE International Joint Symposia on Intelligence
and Systems, pages 34–41, Rockville, MD (USA), 21.-23. May 1998. IEEE Computer Society Press, Los
Alamitos , CA. †P80657 ga98aWHLand.
[980] Yaoyao Cui, Mingxi Wan, and Junbo Li. A new quantitative assessment method of facial paralysis based on
motion estimation. In H. K. Chang and Y. T. Zhang, editors, Proceedings of the 20th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1412–1412, Hong
Kong, China, 29. October-29. November 1998. IEEE, Piscataway, NJ. * www/IEEE ga98aYaoyaoCui.
[981] David B. Fogel, Peter J. Angeline, V. W. Porto, E. C. Wasson, III, and Edward M. Boughton. Using
evolutionary computation to learn about detecting breast cancer. In 1998 IEEE International Conference
on Systems, Man, and cybernetics, volume 3, pages 2373–2378, San Diego, CA, USA, 11.-14.October 1998.
IEEE, Piscataway, NJ. * www/IEEE ga98bDBFogel.
[982] Jorma Laurikkala, Martti Juhola, Jorma Penttinen, and Pauliina Aukee. An internet-based prototype
expert system for the diagnosis of female urinary incontinence. In Pasi Koikkalainen and Seppo Puuronen,
editors, Human and Artificial Information Processing, Proceedings of the 8th Finnish Artificial Intelligence
Conference, pages 98–103, Jyv¨
askyl¨
a (Finland), 7.-9. September 1998. University of Jyv¨
askyl¨
a — Finnish
Artificial Intelligence Society. ga98bLaurikkala.
126
Genetic algorithms in medicine
[983] M. Nayebzadeh, H. Bigdeli, Z. S. Hosseini, and J. Soltanian. Real-time identification of fetal arrhythmia
using a genetic algorithm. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft
Computing, volume 3, pages 1867–1871, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen
(Germany). †CCA84599/99 ga98bNayebzadeh.
[984] D.-Y. Tsai and S. Watanabe. A method for optimization of fuzzy reasoning by genetic algorithms and its
application to discrimination of myocardial heart disease. IEEE Transactions on Nuclear Science, 46(6
Part 3):2239–2246, 12.-14.November 1998. * www/IEEE ga98cD-YTsai.
[985] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, and Walter F. Good. Comparison of artificial neural
network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. In
Proceedings of the 1999 International Joint Conference on Neural Networks (IJCNN’99), volume 6, pages
4181–4185, ?, ? 1999. IEEE, Piscataway, NJ. ga99aBinZheng.
[986] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, and Walter F. Good. Comparison of artificial neural
network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. In
International Joint Conference on Neural Networks, IJCNN ’99, volume 6, pages 4181–4185, Washington,
DC, USA, 10.-16. July 1999. IEEE, Piscataway, NJ. ga99aBZheng.
[987] C. F. Cosio and B. L. Davies. Automated prostate recognition: a key process for clinically effective
robotic prostatectomy. Med. Biol. Eng. Comput., 37(2):236–243, March 1999.
* PubMed10396828
ga99aCFArambula.
[988] David B. Fogel, Peter J. Angeline, V. W. Porto, E. C. Wasson, and Edward M. Boughton. Using evolutionary computation to learn about detecting breast cancer. In Proceedings of the 1999 Congress on
Evolutionary Computation-CEC99, volume 3, pages 1749–1754, Washington, DC, 6.-9. July 1999. IEEE,
Piscataway, NJ. †CCA84612/99 ga99aDBFogel.
[989] D. J. Baylink, D. D. Strong, and S. Mohan. The diagnosis and treatment of osteoporosis: future prospects.
Mol. Med. Today, 5(3):133–140, March 1999. * PubMed10203737 ga99aDJBaylink.
[990] Du-Yih Tsai and S. Watanabe. A method for optimization of fuzzy reasoning by genetic algorithm and its
application to discrimination of myocardial heart disease. IEEE Transactions on Nuclear Science, 46(6,
Part 3):2239–2246, December 1999. (Proceedings of Toronto (Canada), 12.-14. Nov. 1998) * www /IEEE
ga99aDu-YihTsai.
[991] Erna L. Kentala, Jorma Laurikkala, Ilmari V. Pyykk¨
o, and Martti Juhola. Discovering diagnostic rules
from a neurotologic database with genetic algorithms. Ann. Otol. Rhinol. Laryngol., 108(10):948–954,
October 1999. * PubMed10526849 ga99aEKentala.
[992] E. K. Lee, R. J. Gallagher, D. Silvern, C. S. Wuu, and M. Zaider. Treatment planning for brachytherapy:
an integer programming model, two computational approaches and experiments with permanent prostate
implant planning. Phys. Med. Biol., 44(1):145–165, January 1999. * PubMed ga99aEKLee.
[993] E. M. Messing, J. B. Zhang, D. J. Rubens, R. A. Brasacchio, J. G. Strang, A. Soni, M. C. Schell, P. G. Okunieff, and Y. Yu. Intraoperative optimized inverse planning for prostate brachytheraby: early experience.
Int. J. Radiat. Oncol. Biol. Phys., 44(4):801–808, 1. July 1999. * PubMed10386636 ga99aEMMessing.
[994] H. C. Patel, J. S. Duca, A. J. Hopfinger, C. D. Glendening, and E. D. Thompson. Quantitative component
analysis of mixture for risk assessment: applications to eye irritation. Chem. Res. Toxicol., 12(11):1050–
1056, November 1999. * PubMed10563830 ga99aHCPatel.
[995] Hsiang-Yin Chen, Ta-Cheng Chen, David I. Min, Gary W. Fischer, and You-Min Wu. Prediction of
tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients.
Therapeutic Drug Monitoring, 21(1):50–56, February 1999. * AHA ga99aHsiang-YinChen.
[996] Jr V. Pilla and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of p wave of the
ecg. In Proceedings of the Third International Conference on computational Intelligence and Multimedia
Applications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,
Los Alamitos , CA. †CCA93085/99 ga99aJrVPilla.
[997] Jinming Zhang and William Stout. The theoretical DETECT index of dimensionality and its application
to approximate simple structure. Psychometrika, 64(2):213–249, June 1999. * PsycINFO1999-05791-006
ga99aJZhang.
[998] I. Kajitani, M. Murakami, D. Nishikawa, H. Yokoi, N. Kajihara, Masaya Iwata, Didier Keymeulen,
H. Sakanashi, and Tetsuya Higuchi. An evolvable hardware chip for prosthetic hand controller. In Proceedings of the Seventh International Conference on Microelectronics for Neural Fuzzy and Bio-Inspired
Systems, pages 179–186, Granada (Spain), 7.-9. April 1999. IEEE Computer Society Press, Los Alamitos
, CA. †CCA88709/99 ga99aKajitani.
Bibliography
127
[999] K. Murase, T. Mochizuki, T. Kikuchi, and J. Ikezoe. Kinetic parameter estimation from compartment
models using a genetic algorithm. Nucl. Med. Commun, 20(10):925–932, October 1999. * PubMed10528298
ga99aKMurase.
[1000] Jorma Laurikkala, Martti Juhola, S. Lammi, and Kati Viikki. Comparison of genetic algorithms and other
classification methods in the diagnosis of female urinary incontinence. Methods of Information in Medicine,
38(2):125–131, June 1999. ga99aLaurikkala.
[1001] Milo C. Engoren, Rui Moreno, and Dinis Reis Miranda. A genetic algorithm to predict hospital mortality in an ICU population. Critical Care Medicine, 27(12):Supplement:A52, December 1999. †AHA
ga99aMCEngoren.
[1002] M. Lahanas, D. Baltas, and N. Zamboglou. Anatomy-based three-dimensional dose optimization in
brachytherapy using multiobjective genetic algorithms. Med. Phys., 26(9):1904–1918, September 1999.
* PubMed10505880 ga99aMLahanas.
[1003] M. Scherg, T. Bast, and P. Berg. Multiple source analysis of interictal spikes: goals, requirements, and
clinical value. J. Clin. Neurophysiol, 16(3):214–224, May 1999. * PubMed10426405 ga99aMScherg.
[1004] N. Marvin, M. Bower, and Jonathan E. Rowe. An evolution approach to constructing prognostic models.
Artificial Intelligence in Medicine, 15(2):155–165, February 1999. * PubMed10082179 ga99aNMarvin.
[1005] O. C. L. Haas. Radiotherapy Treatment Planning: New System Approaches. Springer-Verlag, Berlin, 1999.
†[1143] ga99aOHaas.
[1006] Carlos Andr´es Pe˜
na-Reyes and Moshe Sipper. A fuzzy-genetic approach to breast cancer diagnosis. Artificial Intelligence in Medicine, 17(2):131–155, October 1999. ttp://www.sciencedirect.com
ga99aPena-Reyes.
[1007] R. Davoodi and B. J. Andrews. Optimal control of FES-assisted standing up in paraplegia using genetic
algorithms. Med. Eng. Phys., 21(9):609–617, November 1999. * PubMed10699563 ga99aRDavoodi.
[1008] S. Vinterbo and L. Ohno-Machado. A genetic algorithm to select variables in logistic regression: example
in the domain of myocardial infarction. Proc. AMIA Symp, ?(?):984–988, ? 1999. * PubMed10566508
ga99aSVinterbo.
[1009] Tingjun Hou, Junmei Wang, and Xiaojie Xu. Applications of genetic algorithms on the structure-activity
correlation study of a group of nonnucleoside HIV-1 inhibitors. Chemometrics and Intelligent Laboratory
Systems, 45(1,2):303–310, 1999. (Proceedings of the 1st International Conference on Chemometrics in
China (1STCCC), Zhangjiajie (China), Oct 17.-23., 1997) †ChA332263/99 P83850/99 ga99aTingjunHou.
[1010] V. Podgorelec, J. Brest, and P. Kokol. Power of heterogeneous computing as a vehicle for implementing E3 medical decision support systems. Stud. Health Technol. Inform., 68(?):703–708, ? 1999. *
PubMed10724984 ga99aVPodgorelec.
[1011] Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, and Walter F. Good. Optimizing the feature set for a
Bayesian network for breast-cancer diagnosis, by using genetic algorithm techniques. In Proceedings of
the Society of Photo-Optical Instrumentation Engineers, volume SPIE-3661, pages 1574–1580, San Diego,
CA, 22.-25. February 1999. SPIE – International Society for Optical Engineering, Bellingham. †P85053
ga99aXHWang.
[1012] Xin Yao and Yong Liu. Neural networks for breast cancer diagnosis. In Proceedings of the 1999 Congress on
Evolutionary Computation-CEC99, volume 3, pages 1760–1767, Washington D.C., 6.-9. July 1999. IEEE,
Piscataway, NJ. †CCA84613/99 ga99aXinYao.
[1013] Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, and Walter F. Good. Computer-assisted diagnosis of
breast cancer using artificial neural networks: Comparison of backpropagation and genetic algorithm. In
Proceedings of the 1999 International Joint Conference on Neural Networks (IJCNN’99), volume 5, pages
3674–3679, ?, ? 1999. IEEE, Piscataway, NJ. ga99aYuan-HsiangChang.
[1014] Y. Yu, J. B. Brasacchio, P. G. Okunieff, D. J. Rubens, J. G. Strang, A. Soni, and E. M. Messing. Automated
treatment planning engine for prostate seed implant brachytherapy. Int. J. Radiat. Oncol. Biol. Phys.,
43(3):647–652, 1. February 1999. * PubMed10078652 ga99aYYu.
[1015] Carlos Andr´es Pe˜
na-Reyes and Moshe Sipper. Designing breast cancer diagnostic systems via a hybrid
fuzzy-genetic methodology. In Proceedings of the 1999 IEEE International Fuzzy Systems Conference, volume 1, pages 135–139, Seoul (South Korea), 22.-25. August 1999. IEEE, Piscataway, NJ. ga99bPena-Reyes.
[1016] Jarmo T. Alander. Development of NIR melanoma spectra processing methods. In Pekka Isto, editor, Tekniikan tutkimusinstituutti, Juhlaseminaari 2006, pages 25–26, Vaasa (Finland), 24. February 2006. Tekniikan tutkimusinstituutti. (ftp://ftp://ftp.uwasa.fi/cs/report05-4//TTIprinter.pdf)
gaA:TTI06.
128
Genetic algorithms in medicine
[1017] Jarmo T. Alander. Evoluutiolaskennalla omatoimista kognitiivista kuntoutusta? [selfmade cognitive
rehabilitation with the help of evolutionary computing?]. In Markus Koskela and Kari Heikkinen,
editors, Yhdistetyt tietojenk¨
asittelyp¨
aiv¨
at 2014 Federated Computer Science Event 2014, pages 44–46,
Lappeenranta (Finland), 3.-4. June 2014. Lappeenranta University of Technology. (in Finnish, related
slides both in Finnish and English) gaA:YTP2014 ⇒ http://lipas.uwasa.fi/∼TAU/reports/report14-1/
YTP2014AlaFinal.pdf.
[1018] Jarmo T. Alander. Indexed bibliography of genetic algorithms in medicine. Report 94-1-MEDICINE,
University of Vaasa, Department of Electrical Engineering and Automation, 2007. http://lipas.uwasa.
fi/∼TAU/reports/report94-1/gaMEDICINEbib.pdf gaMEDICINEbib.
[1019] Tim K. Peters, Hans-Eberhard Koralewski, and Ekkehard W. Zerbst. The evolution strategy - a search
strategy used in individual optimization of electrical parameters for therapeutic carotid sinus nerve stimulation. IEEE Transactions on Biomedical Engineering, 36(7):668–675, July 1991. ga:Peters91a.
[1020] R. Schultheis, R. Rautenbach, and G. Bindl. Entwicklung von Ventrikelmodellen nach dem Prinzip der
biologischen Evolution. Biomedizinische Technik, 21E:197–198, 1976. †[6] ga:Schultheis76.
[1021] H. G. N¨
urnberg and G. Vossius. Evolutionsstrategie – ein Regelkonzept f¨
ur die funktionelle Elektrostimulation gel¨
ahmter Gliedmaßen. Biomedizinische Technik, 31(?):52–53, September 1986. †Back/bib
ga:Vossius86a.
[1022] Jean-Michel Rouet, Jean-Jos´e Jacq, and Christian Roux. Genetic algorithms for a robust 3-D MR-CT
registration. IEEE Transactions on Information Technology in Biomedicine, 4(2):126–136, June 2000.
ga00aJ-MRouet.
[1023] Jinn-Moon Yang and Cheng-Yan Kao. A family competition evolutionary algorithm for automated docking
of flexible ligands to proteins. IEEE Transactions on Information Technology in Biomedicine, 4(3):225–237,
September 2000. ga00aJinn-MoonYang.
[1024] K. Selber, F. Nellen, B. Steffen, J. Thommes, and M. R. Kula. Investigation of mathematical methods
for efficient optimization of aqueous two-phase extraction. J. Chromatogr. B, Biomed. Sci. Appl., 743(12):21–30, 23. June 2000. * PubMed10942269 ga00aKSelber.
[1025] Masao Ozaki and Wataru Motokawa. Dental age estimation by two computer methods: fuzzy logic and
neural network. Biomedical Soft Computing and Human Sciences, 6(1):13–17, ? 2000. ga00aMasaoOzaki.
[1026] M. Sasikala and N. Kumaravel. Optimal autoregressive model based medical image compression using
genetic algorithm. Biomed. Sci. Instrum., 36(?):177–182, ? 2000. * PubMed10834229 ga00aMSasikala.
[1027] O. Braaten, O. K. Rodningen, I. Nordal, and T. P. Leren. The genetic algorithm applied to haplotype data
at the LDL receptor locus. Comput. Methods Programs Biomed., 61(1):1–9, ? 2000. * PubMed10660265
ga00aOBraaten.
[1028] Pabitra Mitra, Sushmita Mitra, and Sankar K. Pal. Staging of cervical cancer with soft computing. IEEE
Transactions on Biomedical Engineering, 47(7):934–940, July 2000. ga00aPMittra.
[1029] Mark Shelhamer. Use of a genetic algorithm for the analysis of eye movements from the linear vestibuloocular reflex. Annals of Biomedical Engineering, 29(6):510–522, 2001. ga01aMarkShelhamer.
[1030] Mingxi Wan, Yangmei Li, Junbo Li, and Yaoyao Cui Xiaodong Zhou. Strain imaging and elasticity reconstruction of arteries based on intravascular ultrasound video images. IEEE Transactions on Biomedical
Engineering, 48(1):116–120, January 2001. ga01aMingxiWan.
[1031] Mingxi Wan, Yangmei Li, Junbo Li, Yaoyao Cui, and Xiaodong Zhou. Strain imaging and elasticity reconstruction of arteries based on intravascular ultrasound video images. IEEE Transactions on Biomedical
Engineering, 48(1):116–120, January 2001. ga01aMWan.
[1032] Wen-Lan Wu, Fong-Chin Su, Yuh-Min Cheng, and You-Li Chou. Potential of the genetic algorithm
neural network in the assessment of gait patterns in ankle artrodesis. Annals of Biomedical Engineering,
29(1):83–91, 2001. ga01aWen-LanWu.
¨
[1033] Z¨
umray Dokur and Tamer Olmez.
ECG beat classification by a novel hybrid neural network. Computer
Methods and Programs in Biomedicine, 66(?):167–181, ? 2001. ga01aZDokur.
[1034] Maryann D’Alessandro, Rosana Esteller, George Vachtsevanos, Arthur Hinson, Javier Echauz, and Brian
Litt. Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode
contacts: A report of four patients. IEEE Transactions on Biomedical Engineering, 50(5):603–615, May
2003. ga03aMDAlessandro.
Bibliography
129
[1035] Shu-Chen Cheng and Yueh-Min Huang. A novel approach to diagnose diabetes based on the fractal
characteristics of retinal images. IEEE Transactions on Information Technology in Biomedicine, 7(3):163–
170, September 2003. ga03aShu-ChenCheng.
[1036] Weidong Hou and Yulong Mo. Image reconstruction in electrical impedance tomography based on genetic
algorithm. Journal of Biomedical Engineering (Chinese), 20(1):107–110, March 2003. (in Chinese) * www
/Google ga03aWeidongHou.
[1037] J. Est´evez, S. Alay´
on, L. Moreno, J. Sigut, and R. Aguilar. Cytological image analysis with a genetic fuzzy
finite state machine. Computer Methods and Programs in Biomedicine, 80(Supplement 1):S3–S15, ? 2005.
ga05aJEstevez.
[1038] Jiˇr´ı Kl´ema, Jiˇr´ı Kubal´ık, and Lenka Lhotsk´
a. Optimized model tuning in medical systems. Computer
Methods and Programs in Biomedicine, 80(Supplement 1):S17–S28, ? 2005. ga05aJiriKlema.
[1039] Rong Zhang, Wim Verkruysse, Bernard Choi, John A. Viator, Byungjo Jung, Lars O. Svaasand, Guillermo
Aguilar, and J. Stuart Nelson. Determination of human skin optical properties from spectrophotometric
measurements based on optimisation by genetic algorithms. Journal of Biomedical Optics, 10(2):024030,
March/April 2005. ga05aRZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/15910103.
[1040] Chao Tao, Yu Zhang, and Jack J. Jiang. Extracting physiologically relevant parameters of vocal
folds from high-speed video image series. IEEE Transactions on Biomedical Engineering, 54(5):794–
801, May 2007. ga07aChaoTao ⇒ http://ieeexplore.ieee.org/search/searchresult.jsp?query1=
high-speed+video&scope1=metadata&op1=and&query2=tao&scope2=au&op2=and&query3=zhang&scope3=
au&queryText=%28+%28%28high-speed+video%29%3Cin%3Emetadata+%29+%3Cand%3E+%28%28tao%29%
3Cin%3Eau+%29+%29%3Cand%3E+%28%28zhang%29%3Cin%3Eau+%29+&history=yes&reqloc=basic&submit=
Run+Search&queryblock=&srchlist=publist&coll1=ieeejrns&coll2=ieejrns&coll3=ieeecnfs&coll4=
ieecnfs&coll5=ieeestds&coll6=preprint&coll7=books&coll8=modules&std status=all&currweek=
25-Apr-2008&srchyr=allyr&py1=1950&py2=2008&disp=cit&maxdoc=100&ResultCount=25&SortField=
Score&SortOrder=desc.
[1041] Mohammed Al-Rawi and Huda Karajeh. Genetic algorithm matched filter optimization for automated
detection of blood vessels from digital retinal images. Computer Methods and Programs in Biomedicine,
87(3):248–253, ? 2007. ga07aMAl-Rawi.
[1042] M. Karnan and K. Thangavel. Automatic detection of the breast border and nipple position on digital
mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications. Computer Methods and Programs in Biomedicine, 87(?):12–20, ? 2007. ga07aMKarnan.
[1043] Andrew Thomas Curtis and Christopher Kumar Anand. Random volumetric MRI trajectories via genetic
algorithms. International Journal of Biomedical Imaging, 2008(ID 297089):6, ? 2008. ga08aATCurtis ⇒
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442457/.
[1044] Jie Lei and Yongjie Li. An approaching genetic algorithm for automatic beam angle selection in IMRT
planning. Computer Methods and Programs in Biomedicine, 93(?):257–265, ? 2008. ga08aJieLei.
[1045] Jie Lei and Yongjie Li. An approaching genetic algorithm for automatic beam angle selection in IMRT
planning. Computer Methods and Programs in Biomedicine, 93(3):257–265, March 2009. ga09aJieLei ⇒
http://www.ncbi.nlm.nih.gov/pubmed/19059669.
[1046] Ujjwal Maulik. Medical image segmentation using genetic algorithms. IEEE Transactions on Information
Technology in Biomedicine, 13(2):166–173, March 2009. ga09aUjjwalMaulik ⇒ .
[1047] Min S. H. Aung, John Y. Goulermas, Shaheen Hamdy, and Maxine Power. Spatiotemporal visualizations for
the measurement of oropharyngeal transit time from videofluoroscopy. IEEE Transactions on Biomedical
Engineering, 57(2):432–441, February 2010. ga10aMinSHAung ⇒ http://ieeexplore.ieee.org/stamp/
stamp.jsp?tp=&arnumber=4814700.
[1048] Naima Kaabouch, Yi Chen, Wen-Chen Hu, Julie Anderson, Forrest Ames, and Rolf Paulson. Predicting neuropathic ulceration: analysis of static temperature distributions in thermal images. Journal of Biomedical Optics, 15(6):061715, November/December 2010. ga10aNaimaKaaboucha ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21198163.
[1049] Sabbir U. Ahmad and Stuart W. A. Bergen. A genetic algorithm approach to the inverse problem of treatment planning for intensity-modulated radiotherapy. Biomedical Signal Processing and
Control, 5(?):189–195, ? 2010. ga10aSabbirUAhmad ⇒ http://www.sciencedirect.com/science?
ob=ArticleURL& udi=B7XMN-4YT09K1-1& user=5391025& coverDate=07%2F31%2F2010& rdoc=1& fmt=
high& orig=search& origin=search& sort=d& docanchor=&view=c& acct=C000067123& version=
1& urlVersion=0& userid=5391025&md5=1759b3646a31d845c1eafb14a1854539&searchtype=a.
130
Genetic algorithms in medicine
[1050] Yongjie Li and Jie Lei. A feasible solution to the beam-angle-optimization problem in radiotherapy planning
with a DNA-based genetic algorithm. IEEE Transactions on Biomedical Engineering, 57(3):499–508, March
2010. ga10aYongjieLi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/19822468.
[1051] Antonis Lambrou, Harris Papadopoulos, and Alex Gammerman. Reliable confidence measures for medical
diagnosis with evolutionary algorithms. IEEE Transactions on Information Technology in Biomedicine,
15(1):93–99, January 2011. †PubMed ga11aAntonisLambrou ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21062682.
[1052] Ataollah Ebrahim Zadeh and Ali Khazaee. High efficient system for automatic classification of the
electrocardiogram beats. Annals of Biomedical Engineering, 39(3):996–1011, March 2011. †PubMed
ga11aAtaollahEbrahimZadeh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21140292.
[1053] Harun Uguz, Gur Emre Guraksin, Ucman Ergun, and Ridvan Saracoglu. Biomedical system based on
the discrete hidden Markov model using the Rocchio-genetic approach for the classification of internal
carotid artery Doppler signals. Computer Methods and Programs in Biomedicine, 103(1):51–60, July 2011.
†PubMed ga11aHarunUguz ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20673596.
[1054] Heather N. Hayenga, Bryan C. Thorne, Shayn M. Peirce, and Jay D. Humphrey. Ensuring congruency in multiscale modeling: towards linking agent based and continuum biomechanical models of arterial adaptation. Annals of Biomedical Engineering, 39(11):2669–2682, November 2011.
†PubMed
ga11aHeatherNHayenga ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21809144.
[1055] Jing Li, Jinjia Wang, and Wenxue Hong. [extraction method of the visual graphical feature from biomedical
data]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu
Yixue Gongchengxue Zazhi, 28(5):916–921, October 2011. (in Chinese) †PubMed ga11aJingLi ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22097255.
[1056] Li Liu, Haiying Shi, Liqin Huo, Feng Zhang, Chongxun Zheng, Jia You, Xining He, and Jie Zhang. [application of pulse-coupled neural network combined with genetic algorithm on mr images of hypoxic-ischemic
encephalopathy]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering =
Shengwu Yixue Gongchengxue Zazhi, 28(5):1019–1024, October 2011. (in Chinese) †PubMed ga11aLiLiu
⇒ http://www.ncbi.nlm.nih.gov/pubmed/22097275.
[1057] S. Paredes, T. Rocha, P. d Carvalho, J. Henriques, M. Harris, and J. Morais. Long term cardiovascular
risk models’ combination. Computer Methods and Programs in Biomedicine, 101(3):231–242, March 2011.
†PubMed ga11aSParedes ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21255861.
[1058] Steve S. H. Ling and Hung T. Nguyen. Genetic-algorithm-based multiple regression with fuzzy inference
system for detection of nocturnal hypoglycemic episodes. IEEE Transactions on Information Technology
in Biomedicine, 15(2):308–315, March 2011. †PubMed ga11aSteveSHLing ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/21349796.
[1059] Ana Carolina de Oliveira Neves, Aurigena Antunes de Ara´
ujo, Bruna La´ıs Silva, Patr´ıcia Valderrama,
Paulo Henrique Mar¸co, and K´
assio Michell Gomes de Lima. Near infrared spectroscopy and multivariate calibration for simultaneous determination of glucose, triglycerides and high-density lipoprotein
in animal plasma. Journal of Pharmaceutical and Biomedical Analysis, 66(?):252–257, 23. March 2012.
ga12aACdeOliveiraNeves ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22483641.
[1060] Ana Carolina de Oliveira Neves, Aurigena Antunes de Ara´
ujo, Bruna Lais Silva, Patricia Valderrama,
Paulo Henrique Mar¸co, and Kassio Michell Gomes de Lima. Near infrared spectroscopy and multivariate calibration for simultaneous determination of glucose, triglycerides and high-density lipoprotein in
animal plasma. Journal of Pharmaceutical and Biomedical Analysis, 66:252–257, July 2012. †PubMed
ga12aAnaCarolinadeOliveiraNeves ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22483641.
´
[1061] Franck P. Vidal, Pierre-Fr´ed´eric Villard, and Evelyne
Lutton. Tuning of patient-specific deformable models
using an adaptive evolutionary optimization strategy. IEEE Transactions on Biomedical Engineering,
59(10):2942–2949, October 2012. ga12aFPVidal ⇒ http://ieeexplore.ieee.org/xpl/articleDetails.
jsp?arnumber=6269065.
[1062] Karen E. Joyce, Satoru Hayaska, and Paul J. Laurienti. A genetic algorithm for controlling an agent-based
model of the functional human brain. Biomedical Sciences Instrumentation, 48:210–217, 2012. †PubMed
ga12aKarenEJoyce ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22846285.
[1063] Maria D. Cao, Beathe Sitter, Tone F. Bathen, Anna Bofin, Per E. Lonning, Steinar Lundgren, and Ingrid S.
Gribbestad. Predicting long-term survival and treatment response in breast cancer patients receiving
neoadjuvant chemotherapy by MR metabolic profiling. NMR in Biomedicine, 25(2):369–378, February
2012. †PubMed ga12aMariaDCao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21823183.
Bibliography
131
[1064] Nemir Al-Azzawi and Wan Ahmed K. Wan Abdullah. MRI monomodal feature-based registration based on
the efficiency of multiresolution representation and mutual information. American Journal of Biomedical
Engineering, 2(3):98–104, 2012. ga12aNemirAl-Azzawi ⇒ http://article.sapub.org/10.5923.j.ajbe.
20120203.02.html.
[1065] Shao-Xin Li, Qiu-Yan Chen, Yan-Jiao Zhang, Zhi-Ming Liu, Hong-Lian Xiong, Zhou-Yi Guo, Hai-Qiang
Mai, and Song-Hao Liu. Detection of nasopharyngeal cancer using confocal Raman spectroscopy and
genetic algorithm technique. Journal of Biomedical Optics, 17(12):125003, December 2012. †PubMed
ga12aShao-XinLi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23208211.
[1066] Tai-Chun Wang, Javid Taheri, and Albert Y. Zomaya. Using genetic algorithm in reconstructing single
individual haplotype with minimum error correction. Journal of Biomedical Informatics, 45(5):922–930,
October 2012. †PubMed ga12aTai-ChunWang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22465411.
[1067] Behnoosh Tavakoli and Quing Zhu. Two-step reconstruction method using global optimization and conjugate gradient for ultrasound-guided diffuse optical tomography. Journal of Biomedical Optics, 18(1):16006,
January 2013. †PubMed ga13aBehnooshTavakoli ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23296038.
[1068] Behshad Hosseinifard, Mohammad Hassan Moradi, and Reza Rostami. Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. Computer Methods and Programs in Biomedicine, 109(3):339–345, March 2013.
†PubMed
ga13aBehshadHosseinifard ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23122719.
[1069]
[1070] Fayssal Beloufa and M. A. Chikh. Design of fuzzy classifier for diabetes disease using modified artificial
bee colony algorithm. Computer Methods and Programs in Biomedicine, 112:92–103, 2013. †PubMed
ga13aFayssalBeloufa ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23932385.
[1071] F. Martinez-Martinez, M. J. Ruperez, J. D. Martin-Guerrero, C. Monserrat, M. A. Lago, E. Pareja,
S. Brugger, and R. Lopez-Andujar. Estimation of the elastic parameters of human liver biomechanical
models by means of medical images and evolutionary computation. Computer Methods and Programs in
Biomedicine, 111(3):537–549, September 2013. †PubMed ga13aFMartinez-Martinez ⇒ http://www.
ncbi.nlm.nih.gov/pubmed/23827334.
[1072] Ka H. Wong, Valentina Razmovski-Naumovski, Kong M. Li, George Q. Li, and Kelvin Chan. Differentiation
of Pueraria lobata and Pueraria thomsonii using partial least square discriminant analysis (PLS-DA).
Journal of Pharmaceutical and Biomedical Analysis, 84:5–13, October 2013. †PubMed ga13aKaHWong ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23777642.
[1073] K. Janc, J. Tarasiuk, A. S. Bonnet, and P. Lipinski. Genetic algorithms as a useful tool for trabecular and
cortical bone segmentation. Computer Methods and Programs in Biomedicine, 111(1):72–83, July 2013.
†PubMed ga13aKJanc ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23602574.
[1074] Ahmad Taher Azar, Hanaa Ismail Elshazly, Aboul Ella Hassanien, and Abeer Mohamed Elkorany. A
random forest classifier for lymph diseases. Computer Methods and Programs in Biomedicine, 113:465–473,
February 2014. †PubMed ga14aAhmadTaherAzar ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24290902.
[1075] Darwin Tay, Chueh Loo Poh, Carolyn Goh, and Richard I. Kitney. A biological continuum based approach
for efficient clinical classification. Journal of Biomedical Informatics, 47:28–38, February 2014. †PubMed
ga14aDarwinTay ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24035745.
[1076] Luis M. Roseiro, M. Augusta Neto, Ana Amaro, Rogerio P. Leal, and Miguel C. Samarra. External
fixator configurations in tibia fractures: 1D optimization and 3D analysis comparison. Computer Methods
and Programs in Biomedicine, 113(1):360–370, January 2014. †PubMed ga14aLuisMRoseiro ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/24176414.
[1077] Maria Martins, Lino Costa, Anselmo Frizera, Ramon Ceres, and Cristina Santos. Hybridization between multi-objective genetic algorithm and support vector machine for feature selection in walkerassisted gait. Computer Methods and Programs in Biomedicine, 113(3):736–748, March 2014. †PubMed
ga14aMariaMartins ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24444751.
[1078] Samad Javid, Asghar Rezaei, and Ghodrat Karami. A micromechanical procedure for viscoelastic characterization of the axons and ECM of the brainstem. Journal of the Mechanical Behavior of Biomedical
Materials, 30, February 2014. †PubMed ga14aSamadJavid ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
24361933.
[1079] Mehdi Elketroussi and David P. Fan. Optimization of simulation models with GADELO: a multi-population
genetic algorithm. Int. J. Biomed. Comput. (Ireland), 35(1):61–77, February 1994. * MEDLINE EEA
33493/94 EI M178747/94 ga94aElketroussi.
132
Genetic algorithms in medicine
[1080] Jason H. Moore. Artificial intelligence programming with LabVIEW: genetic algorithms for instrumentation control and optimization. Computer Methods and Programs in Biomedicine, 47(1):73–79, June 1995.
* ga95aJHMoore.
[1081] Riccardo Poli, Stefano Cagnoni, and Guido Valli. Genetic design of optimum linear and nonlinear QRS
detectors. IEEE Transactions on Biomedical Engineering, 42(11):1137–1141, November 1995. ga95bPoli.
[1082] N. Tsuda, K. Kuroda, and Y. Suzuki. An inverse method to optimize heating conditions in RF-capacitive
hyperthermia. IEEE Transactions on Biomedical Engineering, 43(10):1029–1037, 1996. †EEA110911/96
ga96aTsuda.
[1083] R. P. Velthuizen, L. O. Hall, and L. P. Clarke. An initial investigation of feature extraction with genetic algorithms for fuzzy clustering. Biomed. Eng. Appl. Basis Commun. (Taiwan), 8(6):496–517, 1996.
†CCA45048/97 ga96aVelthuizen.
[1084] Jorma Laurikkala and Martti Juhola. A genetic-based machine learning system to discover the diagnostic
rules for female urinary incontinence. Computer Methods and Programs in Biomedicine, 55(?):217–228, ?
1998. ga98aLaurikkala.
[1085] P. S. P. Silveira and E. Massad. Modeling and simulating morphological evolution in an artificial life
environment. Comput. Biomed. Res. (USA), 31(1):1–17, 1998. †CCA56098/98 ga98aSilveira.
[1086] Kimmo Uutela, Matti H¨
am¨
al¨
ainen, and Riitta Salmelin. Global optimization in the location of neuromagnetic sources. IEEE Transactions on Biomedical Engineering, 45(6):716–723, June 1998. ga98aUutela.
[1087] Bahram Ghaffarzadeh Kermani, Susan S. Schiffman, and H. Troy Nagle. Using neural networks and genetic
algorithms to enhance performance in an electronic nose. IEEE Transactions on Biomedical Engineering,
46(4):429–439, April 1999. ga99aBGKermani.
[1088] George K. Matsopoulos, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis, and Konstantina S. Nikita.
Automatic retinal image registration scheme using global optimization techniques. IEEE Transactions on
Information Technology in Biomedicine, 3(1):47–60, March 1999. ga99aMatsopoulos.
[1089] F. C. Su and W. L. Wu.
Design and testing of a genetic algorithm neurali network in
the assessment of gait patterns.
Medical Engineering & Physics, 22(1):67–74, January 2000.
* PubMed10817950
ga00aFCSu ⇒ http://www.ingentaconnect.com/content/els/13504533/2000/
00000022/00000001/art00011;jsessionid=1kr58u0ul64qo.alexandra?format=print.
[1090] Hualou Liang, Zhiyue Lin, and Richard W. McCallum. Application of combined genetic algorithms with
cascade correlation to diagnosis of delayed gastric emptying from electrogastrograms. Medical Engineering
& Physics, 22(3):229–234, April 2000. ga00aHualouLiang.
[1091] Xingen Wu and Yunping Zhu. A mixed-encoding genetic algorithm with beam constraint for conformal
radiotherapy treatment planning. Medical Physics, 27(11):2508–2516, November 2000. †NASA ADS
ga00aXWu.
[1092] C. G. Rowbottom, V. S. Khoo, and S. Webb. Simultaneous optimization of beam orientations and
beam weights in conformal radiotherapy. Medical Physics, 28(8):1696–1702, August 2001. * PubMed
ga01aCGRowbottom ⇒ http://www.ncbi.nlm.nih.gov/pubmed/11548939.
[1093] Pengpeng Zhang, David Dean, A. Metzger, and Claudio Sibata. Optimization of gamma knife treatment
planning via guided evolutionary simulated annealing. Medical Physics, 28(8):1746–1752, August 2001.
ga01aPengpengZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/11548945.
[1094] Vili Podgorelec and Peter Kokol. Toward more optimal medical diagnosing with evolutionary algorithms.
Journal of Medical Systems, 25(3):195–219, June 2001. †www /ACM ga01aVPodgorelec.
[1095] Albert Y. C. Fung, Howard I. Amols, and Marco Zaider. Optimized planning for intraoperative planar permanent-seed implant. Journal of Applied Clinical Medical Physics, 3(3):221–226, Summer 2002.
ga02aAYCFung.
[1096] Q. Hou, J. Wang, Y. Chen, and J. M. Galvin. Beam orientation optimization for IMRT by a hybrid method
of the genetic algorithm and the simulated dynamics. Medical Physics, 30(9):2360–2367, September 2003.
* www /PubMed ga03aQHou ⇒ http://www.ncbi.nlm.nih.gov/pubmed.
[1097] A. W. Sweeney, N. W. Beebe, R. D. Cooper, J. T. Bauer, and A. Townsend Peterson. Environmental factors
associated with distribution and range limits of malaria vector anopheles farauti in Australia. Journal of
Medical Entomology, 43(5):1068–1075, September 2006. * www ga06aAWSweeney.
[1098] Desmonf H. Foley, Leopoldo M. Rueda, A. Townsend Peterson, and Richard C. Wilkerson. Potential
distribution of two species in the medically important anopheles minimus complex (Diptera: Culicidae).
Journal of Medical Entomology, 45(5):852–860, ? 2008. ga08aDHFoley ⇒ http://www.mosquitocatalog.
org/files/pdfs/MQ0323.pdf.
Bibliography
133
[1099] Daryl P. Nazareth, Stephen Brunner, Matthew D. Jones, Harish K. Malhotra, and Mohammad Bakhtiari.
Optimization of beam angles for intensity modulated radiation therapy treatment planning using genetic
algorithm on a distributed computing platform. Journal of Medical Physics, 34(3):129–132, ? 2009.
ga09aDPNazareth ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20098558.
[1100] Alessandro Battezzato, Laura Gastaldi, and Stefano Pastorelli. Evaluation of the factors affecting the
optimal fiducial configurations calculated through a genetic-algorithm-based methodology in image-guided
neurosurgery. The International Journal of Medical Robotics and Computer Assisted Surgery, 7(4):441–451,
December 2011. ga11aAlessandroBattezzato ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22113978.
[1101] C. Khatchikian, F. Sangermano, D. Kendell, and T. Livdahl. Evaluation of species distribution model
algorithms for fine-scale container-breeding mosquito risk prediction. Medical and Veterinary Entomology, 25(3):268–275, September 2011. †PubMed ga11aCKhatchikian ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/21198711.
[1102] Dror Lederman, Bin Zheng, Xingwei Wang, Jules H. Sumkin, and David Gur. A GMM-based breast
cancer risk stratification using a resonance-frequency electrical impedance spectroscopy. Medical Physics,
38(3):1649–1659, March 2011. †PubMed ga11aDrorLederman ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
21520878.
[1103] Erhan Elveren and Nejat Yumusak. Tuberculosis disease diagnosis using artificial neural network
trained with genetic algorithm. Journal of Medical Systems, 35(3):329–332, June 2011.
†PubMed
ga11aErhanElveren ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20703557.
[1104] F. Fereydouneyan, A. Zare, and N. Mehrshad. Using a fuzzy controller optimized by a genetic algorithm to
regulate blood glucose level in type 1 diabetes. Journal of Medical Engineering & Technology, 35(5):224–
230, July 2011. †PubMed ga11aFFereydouneyan ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21557700.
[1105] Gianni Ciofani, Pier Nicola Sergi, Jacopo Carpaneto, and Silvestro Micera. A hybrid approach for the
control of axonal outgrowth: preliminary simulation results. Medical & Biological Engineering & Computing, 49(2):163–170, February 2011. †PubMed ga11aGianniCiofani ⇒ http://www.ncbi.nlm.nih.gov/
pubmed/20924708.
[1106] J. Fiege, B. McCurdy, P. Potrebko, H. Champion, and A. Cull. PARETO: A novel evolutionary optimization approach to multiobjective imrt planning. Medical Physics, 38(9):5217–5229, September 2011. *
PubMed ga11aJFiege ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21978066.
[1107] Mansouria Sekkal, Mohamed Amine Chikh, and Nesma Settouti. Evolving neural networks using a genetic
algorithm for heartbeat classification. Journal of Medical Engineering & Technology, 35(5):215–223, July
2011. †PubMed ga11aMansouriaSekkal ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21574910.
[1108] Mohamed R. Al-Mulla, Francisco Sepulveda, and M. Colley. Evolved pseudo-wavelet function to optimally decompose semg for automated classification of localized muscle fatigue. Medical Engineering &
Physics, 33(4):411–417, May 2011. †PubMed ga11aMohamedRAl-Mulla ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/21256068.
[1109] Mohammad Nasser Saadatzi, Javad Poshtan, and Mohammad Sadegh Saadatzi. Application of MIMO
disturbance observer to control of an electric wheelchair using NSGA-II. Journal of Medical Signals and
Sensors, 1(2):122–129, May 2011. †PubMed ga11aMohammadNasserSaadatzi ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/22606667.
[1110] S. Algoul, M. S. Alam, M. A. Hossain, and M. A. A. Majumder. Multi-objective optimal chemotherapy
control model for cancer treatment. Medical & Biological Engineering & Computing, 49(1):51–65, January
2011. †PubMed ga11aSAlgoul ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20886373.
[1111] Wenli Cai, June-Goo Lee, Michael E. Zalis, and Hiroyuki Yoshida. Mosaic decomposition: an electronic
cleansing method for inhomogeneously tagged regions in noncathartic CT colonography. IEEE Transactions
on Medical Imaging, 30(3):559–574, March 2011. †PubMed ga11aWenliCai ⇒ http://www.ncbi.nlm.
nih.gov/pubmed/20952332.
[1112] Z. Ahmed, Ty Elmekkawy, and S. Bates. Developing an efficient scheduling template of a chemotherapy treatment unit: A case study. The Australasian Medical Journal, 4(10):575–588, 2011. †PubMed
ga11aZAhmed ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23386870.
[1113] Adel Lahsasna, Raja Noor Ainon, Roziati Zainuddin, and Awang Bulgiba. Design of a fuzzy-based decision
support system for coronary heart disease diagnosis. Journal of Medical Systems, 36(5):3293–3306, October
2012. †PubMed ga12aAdelLahsasna ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22252606.
134
Genetic algorithms in medicine
[1114] Cristiano Calonaci, Ferdinando Chiacchio, and Francesco Pappalardo. Optimal vaccination schedule search
using genetic algorithm over MPI technology. BMC Medical Informatics and Decision Making, 12:129, 2012.
†PubMed ga12aCristianoCalonaci ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23148787.
[1115] Daniel Alvarez, Roberto Hornero, J. Victor Marcos, and Felix De Campo. Feature selection from nocturnal
oximetry using genetic algorithms to assist in obstructive sleep apnoea diagnosis. Medical Engineering &
Physics, 34(8):1049–1057, October 2012. †PubMed ga12aDanielAlvarez ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22154238.
[1116] David J. D’Onofrio, David L. Abel, and Donald E. Johnson. Dichotomy in the definition of prescriptive
information suggests both prescribed data and prescribed algorithms: biosemiotics applications in genomic
systems. Theoretical Biology & Medical Modelling, 9:8, 2012. †PubMed ga12aDavidJD’Onofrio ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22413926.
[1117] Jeong-Kyu Hoh, Kyung-Joon Cha, Moon-Il Park, Mei-Ling Tin Lee, and Young-Sun Park. Estimating
time to full uterine cervical dilation using genetic algorithm. The Kaohsiung Journal of Medical Sciences,
28(8):423–428, August 2012. †PubMed ga12aJeong-KyuHoh ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
22892163.
[1118] Mohamad Amin Bakhshali and Mousa Shamsi. Facial skin segmentation using bacterial foraging optimization algorithm. Journal of Medical Signals and Sensors, 2(4):203–210, October 2012. †PubMed
ga12aMohamadAminBakhshali ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23724370.
[1119] Mohammad Reza Daliri. A hybrid automatic system for the diagnosis of lung cancer based on genetic
algorithm and fuzzy extreme learning machines. Journal of Medical Systems, 36(2):1001–1005, April 2012.
†PubMed ga12aMohammadRezaDaliri ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22113438.
[1120] Muthusamy Suganthi and Muthusamy Madheswaran. An improved medical decision support system to
identify the breast cancer using mammogram. Journal of Medical Systems, 36(1):79–91, February 2012.
†PubMed ga12aMuthusamySuganthi ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20703746.
[1121] Sarah R. Boggs, Lisa H. Cazares, and Richard Drake. Characterization of a Staphylococcus aureus
USA300 protein signature using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Journal of Medical Microbiology, 61(Pt 5):640–644, May 2012. †PubMed ga12aSarahRBoggs ⇒
http://www.ncbi.nlm.nih.gov/pubmed/22322338.
[1122] Weiguo Sui, Yong Dai, Yue Zhang, Jiejing Chen, Huaying Liu, and He Huang. Proteomic profiling of
nephrotic syndrome in serum using magnetic bead based sample fractionation & MALDI-TOF MS. The
Indian Journal of Medical Research, 135:305–311, March 2012. †PubMed ga12aWeiguoSui ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/22561615.
[1123] Wenhua Cao, Gino J. Lim, Andrew Lee, Yupeng Li, Wei Liu, X. Ronal Zhu, and Xiaodong Zhang. Uncertainty incorporated beam angle optimization for IMPT treatment planning. Medical Physics, 39(8):5248–
5256, August 2012. †PubMed ga12aWenhuaCao ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22894449.
[1124] Zahra Alavikia, Pejman Khadivi, and Masoud Reza Hashemi. A model for QoS - aware wireless communication in hospitals. Journal of Medical Signals and Sensors, 2(1):1–10, January 2012. †PubMed
ga12aZahraAlavikia ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23493832.
[1125] Cheng-Hong Yang, Li-Yeh Chuang, Yu-Huei Cheng, Yu-Da Lin, Chun-Lin Wang, Cheng-Hao Wen, and
Hsueh-Wei Chang. Single nucleotide polymorphism barcoding to evaluate oral cancer risk using odds
ratio-based genetic algorithms. The Kaohsiung Journal of Medical Sciences, 28(7):362–368, July 2012.
†PubMed ga12bCheng-HongYang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22726897.
[1126] Chunlin Liang and Lingxi Peng. An automated diagnosis system of liver disease using artificial immune and
genetic algorithms. Journal of Medical Systems, 37(2):9932, April 2013. †PubMed ga13aChunlinLiang
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23456763.
[1127] Eduardo Tejera, Joao Bernardes, and Irene Rebelo. Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia. BMC Medical Genomics, 6:51, 2013.
†PubMed
ga13aEduardoTejera ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24219996.
[1128] Fadzil Ahmad, Nor Ashidi Mat Isa, Zakaria Hussain, and Muhammad Khusairi Osman. Intelligent medical
disease diagnosis using improved hybrid genetic algorithm–multilayer perceptron network. Journal of Medical Systems, 37:9934, 2013. †PubMed ga13aFadzilAhmad ⇒ http://www.ncbi.nlm.nih.gov/pubmed/
23479268.
[1129] Gang Du, Zhibin Jiang, Yang Yao, and Xiaodi Diao. Clinical pathways scheduling using hybrid genetic
algorithm. Journal of Medical Systems, 37(3):9945, 2013. †PubMed ga13aGangDu ⇒ http://www.ncbi.
nlm.nih.gov/pubmed/23576080.
Bibliography
135
[1130] Hasan Ocak. A medical decision support system based on support vector machines and the genetic
algorithm for the evaluation of fetal well-being. Journal of Medical Systems, 37(2):9913, April 2013.
†PubMed ga13aHasanOcak ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23321973.
[1131] Shen-Tsu Wang. Construct an optimal triage prediction model: a case study of the emergency department
of a teaching hospital in Taiwan. Journal of Medical Systems, 37(5):9968, October 2013. †PubMed
ga13aShen-TsuWang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23990379.
[1132] Yesim Serinagaoglu Dogrusoz and Alireza Mazloumi Gavgani. Genetic algorithm-based regularization
parameter estimation for the inverse electrocardiography problem using multiple constraints. Medical &
Biological Engineering & Computing, 51(4):367–375, 2013. †PubMed ga13aYesimSerinagaogluDogrusoz
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23224834.
[1133] Gary Allen Ezzell. Genetic and geometric optimization of three-dimensional radiation therapy treatment
planniong. Medical Physics, 23(3):293–305, March 1996. * ISI ga96aGAEzzell.
[1134] Mark Langer, Richard Brown, S. Morrill, R. Lane, and O. Lee. A generic genetic algorithm for generating
beam weights. Medical Physics, 23(6):965–971, June 1996. ga96aMLanger.
[1135] Yan Yu and M. C. Schell. A genetic algorithm for the optimization of prostate implants. Medical Physics,
23(?):2085–2091, ? 1996. †[602] ga96aYanYu.
[1136] Yan Yu and M. C. Schell. A genetic algorithm for the optimization of prostate implants. Medical Physics,
23(12):2085–2091, 1996. †BAb59473 ga96bYanYu.
[1137] L. J. Park, C. H. Park, C. Park, and T. Lee. Application of genetic algorithms to parameter estimation of
bioprocesses. Medical & Biological Engineering & Computing, 35(1):47–49, January 1997. ga97aLJPark.
[1138] Suman K. Mitra and S. N. Sarbadhikari. Iterative function system and genetic algorithm-based EEG
compression. Medical Engineering and Physics, 19(7):605–617, October 1997. ga97aSKMitra.
[1139] N. Kumaravel and N. Nithiyanandam. Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms. Medical & Biological Engineering & Computing, 36(2):191–196, March 1998.
ga98aKumaravel.
[1140] M. Lahanas, D. Baltas, and N. Zamboglou. Anatomy-based three-dimensional dose optimization in
brachytherapy using multiobjective genetic algorithms. Medical Physics, 26(9):1904–1918, 1999. †[602]
CCA84730/99 ga99aLahanas.
[1141] Arthur S. Bickel and Riva Wenig Bickel. Determination of near optimum use of hospital diagnostic resources
using the genes genetic algorithm shell. Computers in Biology and Medicine, 20(1):1–13, 1990. †EI
A011653/91 ga:Bickel90.
[1142] J.-J. Yang and S. S. Rich. Linkers: A simulation programming system for generating populations with
genetic structure. Computers in Biology and Medicine, 20(2):135–144, 1990. †EI A064933/91 ga:Rich90a.
[1143] J. P. C. van Santvoort. Book review: Radiotherapy treatment planning: New system approaches. Physics
in Medicine and Biology, 45(12):3861, December 2000. ga00aSantvoort.
[1144] Massimo Bernaschi and Filippo Castiglione. Design and implementation of an immune system simulator.
Computers in Biology and Medicine, 31(5):303–331, September 2001. ga01aMBernaschi.
[1145] Witold Pedrycz, Arnon Breuer, and Nicolino J. Pizzi. Genetic design of feature spaces for pattern classifiers.
Artificial Intelligence in Medicine, 32(?):115–125, ? 2004. ga04aWPedrycz.
[1146] B. Ga´
al, I. Vass´
anyi, and G. Kozmann.
A novel artificial intelligence method for weekly dietary menu planning.
Methods of Information in Medicine, 44(5):i655–664, ?
2005.
*
Google
ga05aBGaal ⇒ http://www.schattauer.de/de/magazine/uebersicht/zeitschriften-a-z/
methods/contents/archive/issue/686/manuscript/5640.html.
[1147] Cecilia Di Ruberto and Andrea Morgera. A new genetic algorithm for polygonal approximation. Advances
in Experimental Medicine and Biology, 696:697–707, 2011. †PubMed ga11aCeciliaDiRuberto ⇒ http:
//www.ncbi.nlm.nih.gov/pubmed/21431611.
[1148] Dong Ling Tong and Amanda C. Schierz. Hybrid genetic algorithm-neural network: feature extraction
for unpreprocessed microarray data. Artificial Intelligence in Medicine, 53(1):47–56, September 2011.
†PubMed ga11aDongLingTong ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21775110.
[1149] Hengyun Lu, Genke Yang, and Lam Fat Yeung. A similarity matrix-based hybrid algorithm for the
contact map overlaps problem. Computers in Biology and Medicine, 41(5):247–252, May 2011. †PubMed
ga11aHengyunLu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21439563.
136
Genetic algorithms in medicine
[1150] Chengpeng Bi. Memetic algorithms for de novo motif-finding in biomedical sequences. Artificial Intelligence
in Medicine, 56(1):1–17, September 2012. †PubMed ga12aChengpengBi ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/22613029.
[1151] Yuehui Chen, Jingru Xu, Bin Yang, Yaou Zhao, and Wenxing He. A novel method for prediction of protein
interaction sites based on integrated RBF neural networks. Computers in Biology and Medicine, 42(4):402–
407, April 2012. †PubMed ga12aYuehuiChen ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22226645.
[1152] Linda Y. Liu, Ting Yang, Jun Ji, Qiaojun Wen, Alexander A. Morgan, Bo Jin, Gongxing Chen, Deirdre J.
Lyell, David K. Stevenson, Xuefeng B. Ling, and Atul J. Butte. Integrating multiple ’omics’ analyses identifies serological protein biomarkers for preeclampsia. BMC Medicine, 11:236, November 2013. †PubMed
ga13aLindaYLiu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24195779.
[1153] Manuel Cruz-Ramirez, Cesar Hervas-Martinez, Juan Carlos Fernandez, Javier Briceno, and Manuel d
la Mata. Predicting patient survival after liver transplantation using evolutionary multi-objective artificial
neural networks. Artificial Intelligence in Medicine, 58:37–49, 2013. †PubMed ga13aManuelCruz-Ramirez
⇒ http://www.ncbi.nlm.nih.gov/pubmed/23489761.
[1154] Nafise Erfania Saeedi and Farshad Almasganj. Wavelet adaptation for automatic voice disorders sorting.
Computers in Biology and Medicine, 43:699–704, July 2013. †PubMed ga13aNafiseErfanianSaeedi ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23668345.
[1155] Santiago-Omar Caballero-Morales. Estimation of phoneme-specific HMM topologies for the automatic
recognition of dysarthric speech. Computational and Mathematical Methods in Medicine, 2013. †PubMed
ga13aSantiago-OmarCaballero-Morales ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24222784.
[1156] A. Bansal, C. Cannings, and N. Sheehan. An evaluation of applications of the genetic algorithm to the
problem of ordering genetic loci on human chromosomes using radiation hydrid data. IMA Journal of
Mathematics Applied in Medicine and Biology, 14(3):161–187, ? 1997. * BA 129581/98 ga97aBansal.
[1157] Kimmo Uutela, Matti H¨
am¨
al¨
ainen, and Riitta Salmelin. Global optimization in the localization of brain
activity. In C. J. Aine, Y. Okada, G. Stroink, and S. J. Swithenby, editors, Proceedings of the Tenth
International Conference on Biomagnetism (BIOMAG 96), volume 1, pages 369–372, Santa Fe, NM, 1996
2000. Springer-Verlag, Berlin. †report? ga00aUutela.
[1158] W. Zhuang, D. Abramavicius, D. V. Voronine, and S. Mukamel. Simulation of two-dimensional infrared
spectroscopy of amyloid fibrils. Proceedings of the National Academy of Sciences of the United States of
America, 104(36):14233–14236, 4. September 2007. * www /TKKpaa ga07aWZhuang.
[1159] Thomas McTavish and Diego Restrepo. Evolving solutions: the genetic algorithm and evolution strategies
for finding optimal parameters. In ?, editor, Applications of Computational Intelligence in Biology, volume
122 of Studies in Computational Intelligence, pages 55–78, ?, ? 2008. Springer-Verlag, Heidelberg. †www
/Google ga08aTMcTavish.
[1160] Luis Gomez, Frantishek Cajko, Luis Hernandez-Garcia, Anthony Grbic, and Eric Michielssen. Numerical analysis and design of single-source multicoil TMS for deep and focused brain stimulation.
IEEE Transactions on Bio-medical Engineering, 60(10):2771–2782, October 2013. ga13aLuisGomez ⇒
http://www.ncbi.nlm.nih.gov/pubmed/23708768.
[1161] Mauro Marchetti, Francesco Onorati, Matteo Matteucci, Luca Mainardi, Francesco Piccione, Stefano Silvoni, and Konstantinos Priftis. Improving the efficacy of ERP-based BCIs using different modalities of
covert visuospatial attention and a genetic algorithm-based classifier. PloS One, 8:e53946, 2013. †PubMed
ga13aMauroMarchetti ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23342043.
[1162] Ning-Han Liu, Cheng-Yu Chiang, and Hsiang-Ming Hsu. Improving driver alertness through music selection using a mobile EEG to detect brainwaves. Sensors, 13(7):8199–8221, June 2013. †PubMed
ga13aNing-HanLiu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/23803789.
[1163] Robert G. Cook and Muhammad A. J. Qadri. The adaptive analysis of visual cognition using genetic
algorithms. Journal of Experimental Psychology. Animal Behavior Processes, 39:357–376, 2013. †PubMed
ga13aRobertGCook ⇒ http://www.ncbi.nlm.nih.gov/pubmed/24000905.
[1164] Robert G. Cook and Muhammad A. J. Qadri. Visualizing search behavior with adaptive discriminations.
Behavioural Processes, 102, February 2014. †PubMed ga14aRobertGCook ⇒ http://www.ncbi.nlm.nih.
gov/pubmed/24370702.
[1165] Paul S. Lewis and John C. Mosher. Genetic algorithms for neuromagnetic source reconstruction. In Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP94), volume 5-I, pages 293–300, Adelaide (Australia), 19.-22. April 1994. IEEE, New York. †P64575/95
ga94aLewis.
University of Vaasa, Finland
137
[1166] A. M. Barry. The emergency of high level structure in classifier systems. Irish Journal of Psychology,
14(3):480–498, ? 1993. †Fogarty ga:Barry93a.
[1167] Victor Johnston and Craig Caldwell. Evolving facial composite with a genetic algorithm. British Journal of Psychology, ?(?):?, ? 1994. (in press) †News / Dolan Computational Intelligence-kirja s. 426
ga94aJohnston.
[1168] J. R. McDonnell, R. G. Reynolds, and David B. Fogel, editors. Evolutionary Programming IV: Proceedings
of the Fourth Annual Conference on Evolutionary Programming (EP95), San Diego, CA, 1.-3. March 1995.
MIT Press. †Fogel ga95EP.
[1169] Proceedings of the Second IEEE Conference on Evolutionary Computation, Perth (Australia), November
1995. IEEE, New York, NY. ga95ICEC.
[1170] Jaime J. Fernandez, Kristin A. Farry, and John B. Cheatham. Waveform recognition using genetic programming: The myoelectric signal recognition problem. In Koza et al. [1170], pages 63–71. ga96aFernandez.
[1171] John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors. Proceedings of the GP-96
Conference, Stanford, CA, 28.-31. July 1996. MIT Press, Cambridge, MA. †prog ga96GP.
[1172] Daniel S. Weile and Eric Michielssen. Genetic algorithm optimization applied to electromagnetics - a review.
IEEE Transactions on Antennas and Propagation, 45(3):343–353, March 1997. (89 refs) ga97aWeile.
[1173] John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson. Learning classifier
systems: New models, successful applications. Information Processing letters, 82(?):23–30, ? 2002.
ga02aJHHolmes.
Notations
†(ref)
= the bibliography item does not belong to my collection of genetic papers.
(ref) = citation source code. ACM = ACM Guide to Computing Literature, EEA = Electrical & Electronics Abstracts, BA = Biological Abstracts, CCA = Computers & Control Abstracts, CTI = Current
Technology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Abstracts International, P = Index to Scientific & Technical Proceedings, PA = Physics Abstracts, PubMed
= National Library of Medicine, BackBib = Thomas B¨ack’s unpublished bibliography, Fogel/Bib = David
Fogel’s EA bibliography, etc
* = only abstract seen.
? = data of this field is missing (BiBTeX-format).
The last field in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.
138
Genetic algorithms in medicine
Appendix A
Bibliography entry formats
This documentation was prepared with LATEX and reproduced from camera-ready copy supplied by the editor. The ones
who are familiar with BibTeX may have noticed that the references are printed using abbrv bibliography style and have
no difficulties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of the
most common entry types. The optional fields are enclosed by ”[ ]” in the format description. Unknown fields are shown
by ”?”. † after the entry means that neither the article nor the abstract of the article was available for reviewing and so
the reference entry and/or its indexing may be more or less incomplete.
Book: Author(s), Title, Publisher, Publisher’s address, year.
Example
John H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press,
Ann Arbor, 1975.
Journal article: Author(s), Title, Journal, volume(number): first page – last page, [month,] year.
Example
David E. Goldberg. Computer-aided gas pipeline operation using genetic algorithms and rule learning.
Part I: Genetic algorithms in pipeline optimization. Engineering with Computers, 3(?):35–45, 1987.
†.
Note: the number of the journal unknown, the article has not been seen.
Proceedings article: Author(s), Title, editor(s) of the proceedings, Title of Proceedings, [volume,] pages, location of the
conference, date of the conference, publisher of the proceedings, publisher’s address.
Example
John R. Koza. Hierarchical genetic algorithms operating on populations of computer programs. In
N. S. Sridharan, editor, Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89),
pages 768–774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. † .
Technical report: Author(s), Title, type and number, institute, year.
Example
Thomas B¨
ack, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms.
Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.
139
140
Vaasa GA Bibliography
Vaasa GA Bibliography
141
Vaasa Genetic Algorithm Bibliography
Search & Optimise
Main features:
• Over 20,000 references to published papers
• by over 20,000 researchers.
• Available as over 70 special bibliographies online:
http://lipas.uwasa.fi/~TAU/reports/report94-1/ga*bib.pdf files.
• Covers all sciences and engineering fields, from basic theory to applications.
• Several indexes and statistical summaries.
• See what problems evolution can solve for you!
Global optimisation and search heuristics called genetic algorithm mimics evolution in nature using
recombination and selection from a set of solution trials called population. One of the most prominent
attractive features of genetic algorithms from the practical point of view of software techniques is their
simplicity, which makes them easy to implement and tailor to solve practical search and optimisation
problems.
In spite of the seemingly simple processing, the genetic algorithms are good at solving some problems
that are known to be hard. The simplicity, generality, flexibility, parallelism, and the good problem solving
capability have made genetic algorithm very popular among various disciplines desperately searching
methods to solve difficult optimisation problems.
—————
Observe that our server has also a selection of our papers on genetic algorithms and other compuational
topics. See our bibliographies or file ftp.uwasa.fi/cs/README for further details.
142
file
ga90bib.ps.Z
.
.
.
ga02bib.ps.Z
gaACOUSTICSbib.pdf
gaAIbib.pdf
gaAERObib.pdf
gaAGRObib.pdf
gaALIFEbib.pdf
gaARTbib.pdf
gaAUSbib.pdf
gaBASICSbib.pdf
gaBIObib.pdf
gaCADbib.pdf
gaCHEMbib.pdf
gaCHEMPHYSbib.ps.Z
gaCIVILbib.pdf
gaCODEbib.pdf
gaCOEVObib.pdf
gaCONTROLbib.pdf
gaCSbib.pdf
gaEARLYbib.pdf
gaEAST-EURObib.ps.Z
gaECObib.pdf
gaECOLbib.pdf
gaELMAbib.pdf
gaESbib.pdf
gaFAR-EASTbib.ps.Z
gaFEMbib.pdf
gaFINbib.pdf
gaFPGAbib.pdf
gaFRAbib.ps.Z
gaFTPbib.ps.Z
gaFUZZYbib.pdf
gaGAMEbib.pdf
gaGEObib.pdf
gaGERbib.ps.Z
gaGPbib.pdf
gaIMPLEbib.pdf
gaINDIAbib.ps.Z
gaINVERSEbib.pdf
gaIREGbib.pdf
gaISbib.pdf
gaJAPANbib.ps.Z
gaLCSbib.pdf
gaLASERbib.pdf
gaLATINbib.ps.Z
gaLOGISTICSbib.pdf
gaMANUbib.pdf
gaMATHbib.pdf
gaMEDICINEbib.pdf
gaMEDITERbib.ps.Z
gaMICRObib.pdf
gaMILbib.pdf
gaMLbib.pdf
gaMSEbib.pdf
gaNANObib.pdf
gaNIRbib.pdf
gaNNbib.pdf
gaNORDICbib.pdf
gaOPTICSbib.pdf
gaOPTIMIbib.pdf
gaORbib.pdf
Vaasa GA Bibliography
# refs
.
..
557
190
2566
911
405
184
174
720
1177
1635
1407
938
2277
1121
392
232
1881
1453
723
679
1569
177
574
464
1556
90
891
440
540
1353
1521
140
458
1586
1006
1500
276
291
218
87
2475
211
58
649
741
846
1162
1810
83
113
1231
575
117
267
1883
1125
2168
923
1704
updated
.
..
2009/08/17
2013/06/14
2014/05/06
2012/08/01
2014/05/06
2014/05/06
2013/05/14
2014/04/28
2014/05/06
2012/07/30
2009/07/24
2014/05/06
2014/05/06
2008/09/18
2012/08/08
2008/03/20
2014/04/28
2003/07/09
2012/07/16
2012/07/16
2012/07/20
2008/08/13
2011/12/29
2014/05/06
2013/05/22
2014/05/14
2011/12/29
2003/07/09
2012/09/21
2014/05/06
2014/05/06
2004/09/22
2012/07/30
2012/07/30
2003/05/23
2010/01/08
2014/07/04
2009/08/17
2013/05/14
2012/08/08
2009/07/31
2003/07/09
2014/05/06
2009/07/27
2014/07/18
2003/07/09
2008/03/31
2009/08/17
2012/08/08
2013/08/15
2012/07/17
2013/11/18
2012/06/28
2013/11/18
2014/04/28
2003/07/09
2012/07/30
...table continues on the next page...
contents
GA in 1990
.
..
GA in 2002
GA in acoustics
GA in artificial intelligence
GA in aerospace
GA in agriculture
GA in artificial life
GA in art and music
GA in Australia and New Zealand
Basics of GA
GA in biosciences including medicine
GA in Computer Aided Design
GA in chemical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA in chemistry and physics; divided into gaCHEMbib.ps.Z and gaPHYSbib.ps.Z 2002
GA in civil, structural, and mechanical engineering
GA coding
co- and differential evolution GA
GA in control and process engineering
GA in comp. sci. (incl. databases, /mining, software testing and GP)
GA in early years (upto 1989)
GA in the Eastern Europe
GA in economics and finance
GA in ecology and biodiversity
GA in electromagnetics
Evolution strategies
GA in the Far East (excl. Japan)
GA & FEM
GA in Finland
GA & FPGA
GA in France
GA papers available via web (ftp and www)
GA and fuzzy logic
GA and games
GA in geosciences
GA in Germany, Austria, and Switzerland
genetic programming
implementations of GA
GA in India
GA in inverse problems
image registration
immune systems
GA in Japan
Learning Classifier Systems
GA and lasers
GA in Latin America, Portugal & Spain
GA in logistics (incl. TSP)
GA in manufacturing
GA in mathematics
GA in medicine
GA in the Mediterranean
GA in microscopy & microsystems
GA in military applications
GA in machine learning
GA in materials
GA in nanotechnology
GA in NIRS (spectroscopy)
GA in neural networks
GA in Nordic countries
GA in optics and image processing
GA and optimization (only a few refs)
GA in operations research
Vaasa GA Bibliography
file
gaPARAbib.pdf
gaPARETObib.pdf
gaPATENTbib.pdf
gaPATTERNbib.pdf
gaPHYSbib.pdf
gaPIEZObib.pdf
gaPOWERbib.pdf
gaPROTEINbib.pdf
gaPSObib.pdf
gaQCbib.pdf
gaREMOTEbib.pdf
gaROBOTbib.pdf
gaSAbib.pdf
gaSCHEDULINGbib.pdf
gaSELECTIONbib.ps.Z
gaSIGNALbib.pdf
gaSIMULAbib.pdf
gaTELEbib.pdf
gaTHEORYbib.pdf
gaTHESESbib.pdf
gaVAASAbib.pdf
gaVLSIbib.pdf
gaUKbib.ps.Z
gaXbib.ps.Z
# refs
833
469
462
1654
2313
57
1004
491
92
547
302
775
331
868
295
2587
1037
840
2654
578
284
799
1998
129
143
updated
2012/07/30
2009/03/24
2009/07/27
2012/09/21
2008/04/07
2012/07/18
2014/05/14
2008/03/12
2013/08/15
2011/03/09
2012/07/20
2009/07/27
2009/07/24
2014/05/14
2009/07/27
2012/07/27
2009/07/24
2009/07/27
2012/09/17
2009/01/07
2010/08/17
2012/07/16
2008/05/22
2013/08/15
contents
Parallel and distributed GA
Pareto optimization
GA patents
GA in pattern recognition incl. LCS
GA in physical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA & piezo
GA in power engineering
GA in protein research
Particle Swarm Optimisation
quantum computing
GA in remote sensing
GA in robotics
GA and simulated annealing
GA in scheduling
Selection in GAs
GA in signal and image processing
GA in simulation
GA in telecom
Theory and analysis of GA
PhD etc theses
GA in Vaasa
GA in electronics, VLSI design and testing
GA in United Kingdom
GA & X-rays
Table A.1:
Indexed genetic algorithm special bibliographies available online in directory
http://lipas.uwasa.fi/~TAU/reports/report94-1. New updates only as .pdf files.

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