Jun Wang
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Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19
F Shi, J Wang, J Shi, Z Wu, Q Wang, Z Tang, K He, Y Shi, D Shen
IEEE Reviews in Biomedical Engineering 14, 4-15, 2021
Lung infection quantification of COVID-19 in CT images with deep learning
F Shan, Y Gao, J Wang, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
arXiv preprint arXiv:2003.04655, 2020
Collaborative fuzzy clustering from multiple weighted views
Y Jiang, FL Chung, S Wang, Z Deng, J Wang, P Qian
IEEE Transactions on Cybernetics 45 (4), 688-701, 2015
Seizure classification from EEG signals using transfer learning, semi-supervised learning and TSK fuzzy system
Y Jiang, D Wu, Z Deng, P Qian, J Wang, G Wang, FL Chung, KS Choi, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017
Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages
D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu, Q Wang, J Wu, ...
Scientific Reports 9 (1), 1103, 2019
A survey on soft subspace clustering
Z Deng, KS Choi, Y Jiang, J Wang, S Wang
Information Sciences 348, 84-106, 2016
Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction
F Shan+, Y Gao+, J Wang+, W Shi, N Shi, M Han, Z Xue, D Shen, Y Shi
Medical Physics 48 (4), 1633-1645, 2021
王骏, 王士同, 邓赵红
控制与决策 27 (3), 321-328, 2012
Deep multi-view feature learning for EEG-based epileptic seizure detection
X Tian, Z Deng, W Ying, KS Choi, D Wu, B Qin, J Wang, H Shen, S Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (10 …, 2019
Feature concatenation multi-view subspace clustering
Q Zheng, J Zhu, Z Li, S Pang, J Wang, Y Li
Neurocomputing 379, 89-102, 2020
Multi-task diagnosis for autism spectrum disorders using multi-modality features: A multi-center study
J Wang, Q Wang, J Peng, D Nie, F Zhao, M Kim, H Zhang, CY Wee, ...
Human Brain Mapping 38 (6), 3081–3097, 2017
Distance metric learning for soft subspace clustering in composite kernel space
J Wang, Z Deng, KS Choi, Y Jiang, X Luo, FL Chung, S Wang
Pattern Recognition 52, 113-134, 2016
Kernel density estimation, kernel methods, and fast learning in large data sets
S Wang, J Wang, FL Chung
IEEE Transactions on Cybernetics 44 (1), 1-20, 2014
Sparse multiview task-centralized ensemble learning for ASD diagnosis based on age-and sex-related functional connectivity patterns
J Wang, Q Wang, H Zhang, J Chen, S Wang, D Shen
IEEE Transactions on Cybernetics 49 (8), 3141-3154, 2019
Projective parameter transfer based sparse multiple empirical kernel learning machine for diagnosis of brain disease
X Fei, J Wang, S Ying, Z Hu, J Shi
Neurocomputing 413, 271-283, 2020
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
J Wang, S Wang, FL Chung, Z Deng
Information Sciences 246, 133-154, 2013
Uncertainty modeling for multi-center autism spectrum disorder classification using Takagi-Sugeno-Kang fuzzy systems
Z Hu, J Wang, C Zhang, Z Luo, X Luo, L Xiao, J Shi
IEEE Transactions on Cognitive and Developmental Systems 14 (2), 730 - 739, 2022
Multi-class ASD classification based on functional connectivity and functional correlation tensor via multi-source domain adaptation and multi-view sparse representation
J Wang, L Zhang, Q Wang, L Chen, J Shi, X Chen, Z Li, D Shen
IEEE Transactions on Medical Imaging 39 (10), 3137-3147, 2020
Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features
Z Sun, S Hu, Y Ge, J Wang, S Duan, C Hu, Y Li
Journal of X-Ray Science and Technology 28, 449–459, 2020
Multi-task multi-view learning based on cooperative multi-objective optimization
D Zhou, J Wang, B Jiang, H Guo, Y Li
IEEE Access 6, 19465 - 19477, 2018
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