| 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 | 1601 | 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 | 710 | 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 | 309 | 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 | 250 | 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 | 200 | 2019 |
| 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 | 182 | 2021 |
| 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 | 179 | 2019 |
| A survey on soft subspace clustering Z Deng, KS Choi, Y Jiang, J Wang, S Wang Information Sciences 348, 84-106, 2016 | 133 | 2016 |
| Feature concatenation multi-view subspace clustering Q Zheng, J Zhu, Z Li, S Pang, J Wang, Y Li Neurocomputing 379, 89-102, 2020 | 128 | 2020 |
| 聚类分析研究中的若干问题 王骏， 王士同， 邓赵红 控制与决策 27 (3), 321-328, 2012 | 124* | 2012 |
| 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 | 82 | 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 | 81 | 2017 |
| 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 | 78 | 2019 |
| 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 | 73 | 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 | 73 | 2014 |
| 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 | 72 | 2020 |
| 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 | 59 | 2022 |
| A convolutional neural network and graph convolutional network based framework for classification of breast histopathological images Z Gao, Z Lu, J Wang, S Ying, J Shi IEEE Journal of Biomedical and Health Informatics 26 (7), 3163 - 3173, 2022 | 56 | 2022 |
| 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 | 54 | 2020 |
| Multi-source transfer learning via multi-kernel support vector machine plus for B-mode ultrasound-based computer-aided diagnosis of liver cancers H Zhang, L Guo, D Wang, J Wang, L Bao, S Ying, H Xu, J Shi IEEE Journal of Biomedical and Health Informatics, 2021 | 47 | 2021 |
Jun ShiShanghai UniversityDirección de correo verificada de shu.edu.cn