| Weakly supervised deep learning for whole slide lung cancer image analysis X Wang, H Chen, C Gan, H Lin, Q Dou, E Tsougenis, Q Huang, M Cai, ... IEEE transactions on cybernetics 50 (9), 3950-3962, 2019 | 385 | 2019 |
| Mitosis detection in breast cancer histology images via deep cascaded networks H Chen, Q Dou, X Wang, J Qin, P Heng Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 315 | 2016 |
| Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis AR Ran, CY Cheung, X Wang, H Chen, L Luo, PP Chan, MOM Wong, ... The Lancet Digital Health 1 (4), e172-e182, 2019 | 136 | 2019 |
| Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification X Wang, H Chen, H Xiang, H Lin, X Lin, PA Heng Medical image analysis 70, 102010, 2021 | 99 | 2021 |
| Deep mining external imperfect data for chest X-ray disease screening L Luo, L Yu, H Chen, Q Liu, X Wang, J Xu, PA Heng IEEE transactions on medical imaging 39 (11), 3583-3594, 2020 | 92 | 2020 |
| 3D fully convolutional networks for intervertebral disc localization and segmentation H Chen, Q Dou, X Wang, J Qin, JCY Cheng, PA Heng Medical Imaging and Augmented Reality: 7th International Conference, MIAR …, 2016 | 81 | 2016 |
| Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning X Wang, H Chen, AR Ran, L Luo, PP Chan, CC Tham, RT Chang, ... Medical Image Analysis 63, 101695, 2020 | 77 | 2020 |
| Automated mitosis detection with deep regression networks H Chen, X Wang, PA Heng 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1204-1207, 2016 | 76 | 2016 |
| UD-MIL: uncertainty-driven deep multiple instance learning for OCT image classification X Wang, F Tang, H Chen, L Luo, Z Tang, AR Ran, CY Cheung, PA Heng IEEE journal of biomedical and health informatics 24 (12), 3431-3442, 2020 | 73 | 2020 |
| Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis H Lin, H Chen, X Wang, Q Wang, L Wang, PA Heng Medical Image Analysis 69, 101955, 2021 | 60 | 2021 |
| Weakly supervised learning for whole slide lung cancer image classification X Wang, H Chen, C Gan, H Lin, Q Dou, Q Huang, M Cai, PA Heng Medical imaging with deep learning, 2018 | 49 | 2018 |
| Deep learning in breast cancer imaging: A decade of progress and future directions L Luo, X Wang, Y Lin, X Ma, A Tan, R Chan, V Vardhanabhuti, WCW Chu, ... IEEE Reviews in Biomedical Engineering, 2024 | 46 | 2024 |
| Framework of evolutionary algorithm for investigation of influential nodes in complex networks Y Liu, X Wang, J Kurths IEEE Transactions on Evolutionary Computation 23 (6), 1049-1063, 2019 | 45 | 2019 |
| A multitask deep-learning system to classify diabetic macular edema for different optical coherence tomography devices: a multicenter analysis F Tang, X Wang, A Ran, CKM Chan, M Ho, W Yip, AL Young, J Lok, ... Diabetes Care 44 (9), 2078-2088, 2021 | 43 | 2021 |
| Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images X Wang, F Tang, H Chen, CY Cheung, PA Heng Medical Image Analysis 83, 102673, 2023 | 29 | 2023 |
| Deep angular embedding and feature correlation attention for breast MRI cancer analysis L Luo, H Chen, X Wang, Q Dou, H Lin, J Zhou, G Li, PA Heng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 23 | 2019 |
| Diffusion source inference for large-scale complex networks based on network percolation Y Liu, X Wang, X Wang, Z Wang, J Kurths IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17 | 2023 |
| Rethinking annotation granularity for overcoming shortcuts in deep learning–based radiograph diagnosis: A multicenter study L Luo, H Chen, Y Xiao, Y Zhou, X Wang, V Vardhanabhuti, M Wu, C Han, ... Radiology: Artificial Intelligence 4 (5), e210299, 2022 | 16 | 2022 |
| Optimization of targeted node set in complex networks under percolation and selection Y Liu, X Wang, J Kurths Physical Review E 98 (1), 012313, 2018 | 13 | 2018 |
| Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis H Xiang, Y Xiao, F Li, C Li, L Liu, T Deng, C Yan, F Zhou, X Wang, J Ou, ... Nature Communications 15 (1), 2681, 2024 | 12 | 2024 |
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证