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Bio-Medical Materials and Engineering|September 26, 2015
Pathological brain detection based on wavelet entropy and Hu moment invariantsYudong Zhang, Shuihua Wang, Ping Sun, et al.Entropy (Basel, Switzerland)|December 3, 2020
Multiple Sclerosis Identification Based on Fractional Fourier Entropy and a Modified Jaya AlgorithmShui-Hua Wang, Hong Cheng, Preetha Phillips, et al.Biomedizinische Technik. Biomedical Engineering|February 26, 2016
Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficientsShuihua Wang, Preetha Phillips, Jianfei Yang, et al.Journal of Alzheimer'S Disease : JAD|February 3, 2016
Three-Dimensional Eigenbrain for the Detection of Subjects and Brain Regions Related with Alzheimer's DiseaseYudong Zhang, Shuihua Wang, Preetha Phillips, et al.Journal of Alzheimer'S Disease : JAD|December 20, 2015
Detection of Alzheimer's Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance ImagingShuihua Wang, Yudong Zhang, Ge Liu, et al.Journal of Medical Systems|June 3, 2016
A Multilayer Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier EntropyYudong Zhang, Yi Sun, Preetha Phillips, et al.Journal of Medical Systems|March 27, 2018
Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max PoolingShui-Hua Wang, Preetha Phillips, Yuxiu Sui, et al.Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|May 11, 2016
Preliminary research on abnormal brain detection by wavelet-energy and quantum- behaved PSOYudong Zhang, Genlin Ji, Jiquan Yang, et al.Frontiers in Computational Neuroscience|June 18, 2015
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learningYudong Zhang, Zhengchao Dong, Preetha Phillips, et al.Frontiers in Neuroscience|November 24, 2018
Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic PoolingShui-Hua Wang, Chaosheng Tang, Junding Sun, et al.Pageof 2