| Domain generalization for mammography detection via multi-style and multi-view contrastive learning Z Li, Z Cui, S Wang, Y Qi, X Ouyang, Q Chen, Y Yang, Z Xue, D Shen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 53 | 2021 |
| Lesion segmentation in ultrasound using semi-pixel-wise cycle generative adversarial nets J Xing, Z Li, B Wang, Y Qi, B Yu, FG Zanjani, A Zheng, R Duits, T Tan IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 50 | 2020 |
| Automated rib fracture detection on chest x-ray using contrastive learning H Sun, X Wang, Z Li, A Liu, S Xu, Q Jiang, Q Li, Z Xue, J Gong, L Chen, ... Journal of Digital Imaging 36 (5), 2138-2147, 2023 | 14 | 2023 |
| Self-adversarial learning for detection of clustered microcalcifications in mammograms X Ouyang, J Che, Q Chen, Z Li, Y Zhan, Z Xue, Q Wang, JZ Cheng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 12 | 2021 |
| Domain generalization for mammographic image analysis with contrastive learning Z Li, Z Cui, L Zhang, S Wang, C Lei, X Ouyang, D Chen, X Zhao, C Liu, ... Computers in Biology and Medicine 185, 109455, 2025 | 5 | 2025 |
| sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation X Zhao, D Zang, S Wang, Z Shen, K Xuan, Z Wei, Z Wang, R Zheng, X Wu, ... Computerized Medical Imaging and Graphics 112, 102325, 2024 | 4 | 2024 |
| Learning better contrastive view from radiologist’s gaze S Wang, Z Zhao, Z Zhuang, X Ouyang, L Zhang, Z Li, C Ma, T Liu, D Shen, ... Pattern Recognition, 111350, 2025 | 3 | 2025 |
| Review on the research progress of mining of OMIM data J Li, Z Li, Y Kang, L Li Sheng wu yi xue Gong Cheng xue za zhi= Journal of Biomedical Engineering …, 2014 | 3 | 2014 |
| 在线孟德尔人类遗传数据库数据挖掘的研究进展 李建华， 李哲人， 康雁， 李岭 生物医学工程学杂志 31 (6), 1400-1404, 2014 | 3 | 2014 |
| Whole mammography diagnosis via multi-instance supervised discriminative localization and classification Q Wu, H Tan, Y Wu, P Dong, J Che, Z Li, C Lei, D Shen, Z Xue, M Wang International Workshop on Machine Learning in Medical Imaging, 131-139, 2022 | 1 | 2022 |
| Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification D Chen, M Liu, S Wang, Z Li, L Bai, Q Wang, D Shen, L Zhang Knowledge-Based Systems 309, 112856, 2025 | | 2025 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceEmail verificata su shanghaitech.edu.cn