NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network von Lu, Siyuan, Zhu, Ziquan, Gorriz, Juan Manuel, Wang, Shui‐Hua, Zhang, Yu‐Dong

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Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm von Lu, Siyuan, Wang, Shui-Hua, Zhang, Yu-Dong

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A review on extreme learning machine von Wang, Jian, Lu, Siyuan, Wang, Shui-Hua, Zhang, Yu-Dong

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Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling von Wang, Shui-Hua, Phillips, Preetha, Sui, Yuxiu, Liu, Bin, Yang, Ming, Cheng, Hong

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AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM von Wang, Shui-Hua, Fernandes, Steven Lawrence, Zhu, Ziquan, Zhang, Yu-Dong

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A Review of Deep Learning on Medical Image Analysis von Wang, Jian, Zhu, Hengde, Wang, Shui-Hua, Zhang, Yu-Dong

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MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray von Zhang, Yu-Dong, Zhang, Zheng, Zhang, Xin, Wang, Shui-Hua

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Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model von Amin, Javaria, Sharif, Muhammad, Fernandes, Steven Lawrence, Wang, Shui‐Hua, Saba, Tanzila, Khan, Amjad Rehman

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A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection von Rashid, Muhammad, Khan, Muhammad Attique, Alhaisoni, Majed, Wang, Shui-Hua, Naqvi, Syed Rameez, Rehman, Amjad, Saba, Tanzila

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Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization von Shui-Hua, Wang, Khan, Muhammad, Jin, Hong, Sangaiah, Arun Kumar, Yu-Dong, Zhang

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Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling von Wang, Shui-Hua, Lv, Yi-Ding, Sui, Yuxiu, Liu, Shuai, Wang, Su-Jing, Zhang, Yu-Dong

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Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique von Wang, Shui-Hua, Chen, Yi

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ResGNet-C: A graph convolutional neural network for detection of COVID-19 von Yu, Xiang, Lu, Siyuan, Guo, Lili, Wang, Shui-Hua, Zhang, Yu-Dong

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Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling von Wang, Shui-Hua, Tang, Chaosheng, Sun, Junding, Yang, Jingyuan, Huang, Chenxi, Phillips, Preetha, Zhang, Yu-Dong

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Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation von Zhang, Yu-Dong, Dong, Zhengchao, Chen, Xianqing, Jia, Wenjuan, Du, Sidan, Muhammad, Khan, Wang, Shui-Hua

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Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation von Chen, Tao, Wang, Shui-Hua, Wang, Qiong, Zhang, Zheng, Xie, Guo-Sen, Tang, Zhenmin

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A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring von Kang, Cheng, Yu, Xiang, Wang, Shui-Hua, Guttery, David S., Pandey, Hari Mohan, Tian, Yingli, Zhang, Yu-Dong

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An efficient medical image super resolution based on piecewise linear regression strategy using domain transform filtering von Lepcha, Dawa Chyophel, Goyal, Bhawna, Dogra, Ayush, Wang, Shui‐Hua

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Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling von Li, Zhi, Wang, Shui‐Hua, Fan, Rui‐Rui, Cao, Gang, Zhang, Yu‐Dong, Guo, Ting

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Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network von Liu, Shuaiqi, Wang, Xu, Zhao, Ling, Zhao, Jie, Xin, Qi, Wang, Shui-Hua

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