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Cgenet: A deep graph model for covid-19 detection based on chest ct Journal article
Lu, Si Yuan, Zhang, Zheng, Zhang, Yu Dong, Wang, Shui Hua. Cgenet: A deep graph model for covid-19 detection based on chest ct[J]. Biology, 2022, 11(1).
Authors:  Lu, Si Yuan;  Zhang, Zheng;  Zhang, Yu Dong;  Wang, Shui Hua
Favorite | TC[WOS]:29 TC[Scopus]:31  IF:3.6/3.8 | Submit date：2022/02/21
Computer-aided Diagnosis  Transfer Learning  Convolutional Neural Network  Feedforward Neural Network  Extreme Learning Machine  Graph Neural Network  
An explainable framework for diagnosis of COVID-19 pneumonia via transfer learning and discriminant correlation analysis Journal article
Lu, Siyuan, Wu, Di, Zhang, Zheng, Wang, Shui Hua. An explainable framework for diagnosis of COVID-19 pneumonia via transfer learning and discriminant correlation analysis[J]. ACM Transactions on Multimedia Computing Communications and Applications, 2021, 17(3s), 3449785.
Authors:  Lu, Siyuan;  Wu, Di;  Zhang, Zheng;  Wang, Shui Hua
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:5.2/4.9 | Submit date：2022/05/13
Computed Tomography  Covid-19  Extreme Learning Machine  Random Vector Functional-link Net  Randomized Neural Network  Resnet  Schmidt Neural Network  
MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray Journal article
Zhang, Yu Dong, Zhang, Zheng, Zhang, Xin, Wang, Shui Hua. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray[J]. PATTERN RECOGNITION LETTERS, 2021, 150, 8-16.
Authors:  Zhang, Yu Dong;  Zhang, Zheng;  Zhang, Xin;  Wang, Shui Hua
Favorite | TC[WOS]:69 TC[Scopus]:83  IF:3.9/4.2 | Submit date：2021/12/08
Deep Learning  Data Harmonization  Multiple Input  Convolutional Neural Network  Automatic Differentiation  Covid-19  Chest Ct  Chest X-ray  Multimodality  
Heterogeneous data fusion for predicting mild cognitive impairment conversion Journal article
Shen, Heng Tao, Zhu, Xiaofeng, Zhang, Zheng, Wang, Shui Hua, Chen, Yi, Xu, Xing, Shao, Jie. Heterogeneous data fusion for predicting mild cognitive impairment conversion[J]. Information Fusion, 2021, 66, 54-63.
Authors:  Shen, Heng Tao;  Zhu, Xiaofeng;  Zhang, Zheng;  Wang, Shui Hua;  Chen, Yi; et al.
Favorite | TC[WOS]:62 TC[Scopus]:65  IF:14.7/16.1 | Submit date：2021/12/07
Mild Cognitive Impairment  Transfer Learning  Feature Selection  Sparse Learning  Alzheimer's Disease