Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data
SP Kodali, K Deb, P Munshi, NN Kishore. Cited by 11
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Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
SP Kodali, K Deb, S Bandaru, P Munshi, NN Kishore. Cited by 6
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A recommender system for prostate cancer websites.
HO Witteman, M Chignell, MD Krahn. Cited by 8
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Identification of Full and Partial Class Relevant Genes
Z Zhu, YS Ong, JM Żurada. Cited by 58
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Cancer classification with incremental gene selection based on DNA microarray data
JH Hong, SB Cho. Cited by 11
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Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography
SP Kodali, S Bandaru, K Deb, P Munshi, NN Kishore. Cited by 14
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Robust BMPM training based on second-order cone programming and its application in medical diagnosis
X Peng, I King. Cited by 27
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Usability of a mobile electronic medical record prototype: a verbal protocol analysis
RC Wu, MS Orr, M Chignell, SE Straus. Cited by 31
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A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-objective Evolutionary Procedure
K Deb, AR Reddy, S Chaudhuri. Cited by 1
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Maximizing sensitivity in medical diagnosis using biased minimax probability Machine
K Huang, H Yang, I King, MRT Lyu. Cited by 41
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Improving the Usability and Effectiveness of Online Learning: How Can Avatars help?
H Wang, M Chignell, M Ishizuka. Cited by 9
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Physician Responses to Handheld Presentation of Clinical Evidence: Analysis of Group Differences
DM Lottridge, M Chignell, SE Straus. Cited by 3