Evolutionary computation in medicine: an overview
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[1] Moshe Sipper,et al. A fuzzy-genetic approach to breast cancer diagnosis , 1999, Artif. Intell. Medicine.
[2] M. Vose. The Simple Genetic Algorithm , 1999 .
[3] Riccardo Poli,et al. Evolutionary computation teaching at Birmingham , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[4] Thomas Roß,et al. Feature selection for optimized skin tumor recognition using genetic algorithms , 1999, Artif. Intell. Medicine.
[5] Y H Chang,et al. Feature selection for computerized mass detection in digitized mammograms by using a genetic algorithm. , 1999, Academic radiology.
[6] A. Marchevsky,et al. Estimation of tumor stage and lymph node status in patients with colorectal adenocarcinoma using probabilistic neural networks and logistic regression. , 1999, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.
[7] Kwong-Sak Leung,et al. Medical Data Mining Using Evolutionary Computation , 2022 .
[8] L. Clarke,et al. Feature Extraction for MRI Segmentation , 1999, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[9] Konstantina S. Nikita,et al. Automatic retinal image registration scheme using global optimization techniques , 1999, IEEE Transactions on Information Technology in Biomedicine.
[10] P. Okunieff,et al. Automated treatment planning engine for prostate seed implant brachytherapy. , 1999, International journal of radiation oncology, biology, physics.
[11] H. Y. Chen,et al. Prediction of tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients. , 1999, Therapeutic drug monitoring.
[12] T Wanschura,et al. Automatic realignment of time-separated MR images by genetic algorithm. , 1999, Magnetic resonance imaging.
[13] John G. Hughes,et al. An evaluation of intelligent prognostic systems for colorectal cancer , 1999, Artif. Intell. Medicine.
[14] Jonathan E. Rowe,et al. An evolutionary approach to constructing prognostic models , 1999, Artif. Intell. Medicine.
[15] A. Abu-Hanna,et al. Prognostic methods in medicine. , 1999, Artificial intelligence in medicine.
[16] Y T Chen,et al. Improving cephalogram analysis through feature subimage extraction. , 1999, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[17] X. Yao. Evolving Artificial Neural Networks , 1999 .
[18] L E Reinstein,et al. A new genetic algorithm technique in optimization of permanent 125I prostate implants. , 1998, Medical physics.
[19] David B. Fogel,et al. Evolving artificial neural networks for screening features from mammograms , 1998, Artif. Intell. Medicine.
[20] N. Petrick,et al. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. , 1998, Medical physics.
[21] N. Petrick,et al. Design of a high-sensitivity classifier based on a genetic algorithm: application to computer-aided diagnosis. , 1998, Physics in medicine and biology.
[22] Peter J. F. Lucas,et al. Analysis of Notions of Diagnosis , 1998, Artif. Intell..
[23] K Doi,et al. A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms. , 1998, Medical physics.
[24] J Mazumdar,et al. Application of fuzzy-classifier system to coronary artery disease and breast cancer. , 1998, Australasian physical & engineering sciences in medicine.
[25] Pedro Larrañaga,et al. Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches , 1998, Artif. Intell. Medicine.
[26] K. Burnham,et al. Optimization of beam orientation in radiotherapy using planar geometry. , 1998, Physics in medicine and biology.
[27] Mark A. Stephenson,et al. Artificial neural networks and logistic regression as tools for prediction of survival in patients with Stages I and II non-small cell lung cancer. , 1998, Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc.
[28] M F Jefferson,et al. Evolution of Artificial Neural Network Architecture: Prediction of Depression after Mania , 1998, Methods of Information in Medicine.
[29] David B. Fogel,et al. Evolutionary Computation: The Fossil Record , 1998 .
[30] I Martínez-Pérez,et al. Genetic programming for classification and feature selection: analysis of 1H nuclear magnetic resonance spectra from human brain tumour biopsies , 1998, NMR in biomedicine.
[31] R. Salmelin,et al. Global optimization in the localization of neuromagnetic sources , 1998, IEEE Transactions on Biomedical Engineering.
[32] Essam A. El-Kwae,et al. Edge detection in medical images using a genetic algorithm , 1998, IEEE Transactions on Medical Imaging.
[33] R L Somorjai,et al. Near‐optimal region selection for feature space reduction: novel preprocessing methods for classifying MR spectra , 1998, NMR in biomedicine.
[34] Reto Meuli,et al. Robust parameter estimation of intensity distributions for brain magnetic resonance images , 1998, IEEE Transactions on Medical Imaging.
[35] M Juhola,et al. A genetic-based machine learning system to discover the diagnostic rules for female urinary incontinence. , 1998, Computer methods and programs in biomedicine.
[36] Vidroha Debroy,et al. Genetic Programming , 1998, Lecture Notes in Computer Science.
[37] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[38] W. Herrmann,et al. On the use of neural network techniques to analyze sleep EEG data. Third communication: robustification of the classificator by applying an algorithm obtained from 9 different networks. , 1998, Neuropsychobiology.
[39] Peter Nordin,et al. Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .
[40] David B. Fogel,et al. An Introduction to Evolutionary Computation , 2022 .
[41] W. Herrmann,et al. On the Use of Neural Network Techniques to Analyze Sleep EEG Data , 1997, Neuropsychobiology.
[42] Y. Yu,et al. Decision theoretic steering and genetic algorithm optimization: application to stereotactic radiosurgery treatment planning. , 1997, Medical physics.
[43] Y. Yu,et al. Multiobjective decision theory for computational optimization in radiation therapy. , 1997, Medical physics.
[44] S. Mitra,et al. Iterative function system and genetic algorithm-based EEG compression. , 1997, Medical engineering & physics.
[45] Kostas Delibasis,et al. Designing Fourier Descriptor-Based Geometric Models for Object Interpretation in Medical Images Using Genetic Algorithms , 1997, Comput. Vis. Image Underst..
[46] Xin Yao,et al. A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.
[47] M F Jefferson,et al. Comparison of a genetic algorithm neural network with logistic regression for predicting outcome after surgery for patients with nonsmall cell lung carcinoma , 1997, Cancer.
[48] Thomas Bäck,et al. Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..
[49] Kostas Delibasis,et al. Designing texture filters with genetic algorithms: An application to medical images , 1997, Signal Process..
[50] R Baumgart-Schmitt,et al. 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. , 1997, Neuropsychobiology.
[51] N. Kumaravel,et al. Equivalent tree representation of electrocardiogram using genetic algorithm. , 1997, Biomedical sciences instrumentation.
[52] Peter Nordin,et al. Evolutionary program induction of binary machine code and its applications , 1997 .
[53] Thomas Bäck,et al. Evolutionary computation: Toward a new philosophy of machine intelligence , 1997, Complex..
[54] D. Heiss-Czedik. An Introduction to Genetic Algorithms. , 1997, Artificial Life.
[55] Y Yu,et al. A genetic algorithm for the optimization of prostate implants. , 1996, Medical physics.
[56] H P Chan,et al. Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue. , 1996, Medical physics.
[57] G. G. Cameron,et al. Genetic algorithm implementation of stack filter design for image restoration , 1996 .
[58] R. Lane,et al. A generic genetic algorithm for generating beam weights. , 1996, Medical physics.
[59] Atam P. Dhawan,et al. Analysis of mammographic microcalcifications using gray-level image structure features , 1996, IEEE Trans. Medical Imaging.
[60] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .
[61] R. Dybowski,et al. Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm , 1996, The Lancet.
[62] G A Ezzell,et al. Genetic and geometric optimization of three-dimensional radiation therapy treatment planning. , 1996, Medical physics.
[63] Constantinos S. Pattichis,et al. Genetics-based machine learning for the assessment of certain neuromuscular disorders , 1996, IEEE Trans. Neural Networks.
[64] Y Chen,et al. A genetic algorithm approach to optimization for the radiological worker allocation problem. , 1996, Health physics.
[65] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[66] Milan Sonka,et al. Knowledge-based interpretation of MR brain images , 1996, IEEE Trans. Medical Imaging.
[67] Volker Claus,et al. Evolutionary Algorithms and their Application , 1996 .
[68] R. Poli,et al. Genetic design of optimum linear and nonlinear QRS detectors , 1995, IEEE Transactions on Biomedical Engineering.
[69] Francisco Herrera,et al. GENERATING FUZZY RULES FROM EXAMPLES USING GENETIC ALGORITHMS , 1995 .
[70] David B. Fogel,et al. Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .
[71] H. Gross,et al. Model study detecting breast cancer cells in peripheral blood mononuclear cells at frequencies as low as 10(-7). , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[72] Bernadette Bouchon-Meunier,et al. Fuzzy Logic And Soft Computing , 1995 .
[73] Hans-Paul Schwefel,et al. Evolution and optimum seeking , 1995, Sixth-generation computer technology series.
[74] David B. Fogel,et al. Evolutionary computation - toward a new philosophy of machine intelligence (3. ed.) , 1995 .
[75] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[76] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[77] Ronald R. Yager,et al. Fuzzy sets, neural networks, and soft computing , 1994 .
[78] C J Taylor,et al. Medical image interpretation: a generic approach using deformable templates. , 1994, Medical informatics = Medecine et informatique.
[79] Larry R. Medsker,et al. Hybrid Neural Network and Expert Systems , 1994, Springer US.
[80] Ludmila I. Kuncheva,et al. Genetic Algorithm for Feature Selection for Parallel Classifiers , 1993, Inf. Process. Lett..
[81] L Kuncheva,et al. DREAM: a shell-like software system for medical data analysis and decision support. , 1993, Computer methods and programs in biomedicine.
[82] M. Narayanan,et al. A Genetic Algorithm to Improve a Neural Network to Predict a Patient’s Response to Warfarin , 1993, Methods of Information in Medicine.
[83] Abraham Kandel,et al. Hybrid Architectures for Intelligent Systems , 1992 .
[84] Larry R. Medsker,et al. Models and Guidelines for Integrating Expert Systems and Neural Networks , 1992 .
[85] B. Clark,et al. Crossmatch prediction of highly sensitized patients. , 1992, Clinical transplants.
[86] Clarkson Bd,et al. Crossmatch prediction of highly sensitized patients. , 1992 .
[87] G. Coppa,et al. Prediction of Outcome in Critically Ill Patients , 1992 .
[88] Alexandre Parodi,et al. An Efficient Classifier System and Its Experimental Comparison with Two Representative Learning Methods on Three Medical Domains , 1991, ICGA.
[89] John R. Koza,et al. Genetically breeding populations of computer programs to solve problems in artificial intelligence , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.
[90] John R. Koza,et al. Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems , 1990 .
[91] Riva Wenig Bickel,et al. Determination of near-optimum use of hospital diagnostic resources using the "GENES" genetic algorithm shell. , 1990, Computers in biology and medicine.
[92] T.K. Peters,et al. The evolution strategy-a search strategy used in individual optimization of electrical parameters for therapeutic carotid sinus nerve stimulation , 1989, IEEE Transactions on Biomedical Engineering.
[93] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[94] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[95] Riva Wenig Bickel,et al. Tree Structured Rules in Genetic Algorithms , 1987, ICGA.
[96] John J. Grefenstette,et al. Genetic Search with Approximate Function Evaluation , 1985, ICGA.
[97] W. Vent,et al. Rechenberg, Ingo, Evolutionsstrategie — Optimierung technischer Systeme nach Prinzipien der biologischen Evolution. 170 S. mit 36 Abb. Frommann‐Holzboog‐Verlag. Stuttgart 1973. Broschiert , 1975 .
[98] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[99] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[100] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[101] John H. Holland,et al. Outline for a Logical Theory of Adaptive Systems , 1962, JACM.
[102] J. S. Hunter,et al. Condensed Calculations for Evolutionary Operation Programs , 1959 .
[103] Richard M. Friedberg,et al. A Learning Machine: Part I , 1958, IBM J. Res. Dev..
[104] George E. P. Box,et al. Evolutionary Operation: a Method for Increasing Industrial Productivity , 1957 .