| Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study D Lin, J Xiong, C Liu, L Zhao, Z Li, S Yu, X Wu, Z Ge, X Hu, B Wang, M Fu, ... The Lancet Digital Health 3 (8), e486-e495, 2021 | 78 | 2021 |
| Improving medical images classification with label noise using dual-uncertainty estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou, T Liu, Z Ge IEEE transactions on medical imaging 41 (6), 1533-1546, 2022 | 71 | 2022 |
| Relational subsets knowledge distillation for long-tailed retinal diseases recognition L Ju, X Wang, L Wang, T Liu, X Zhao, T Drummond, D Mahapatra, Z Ge Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 38 | 2021 |
| Leveraging regular fundus images for training UWF fundus diagnosis models via adversarial learning and pseudo-labeling L Ju, X Wang, X Zhao, P Bonnington, T Drummond, Z Ge IEEE Transactions on Medical Imaging 40 (10), 2911-2925, 2021 | 36 | 2021 |
| Retinal abnormalities recognition using regional multitask learning X Wang, L Ju, X Zhao, Z Ge Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 35 | 2019 |
| Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learning L Ju, X Wang, X Zhao, H Lu, D Mahapatra, P Bonnington, Z Ge IEEE Journal of Biomedical and Health Informatics 25 (10), 3709-3720, 2021 | 31 | 2021 |
| Incremental learning for exudate and hemorrhage segmentation on fundus images W He, X Wang, L Wang, Y Huang, Z Yang, X Yao, X Zhao, L Ju, L Wu, ... Information Fusion 73, 157-164, 2021 | 23 | 2021 |
| Medical matting: a new perspective on medical segmentation with uncertainty L Wang, L Ju, D Zhang, X Wang, W He, Y Huang, Z Yang, X Yao, X Zhao, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 17 | 2021 |
| An intelligent diagnostic system for thyroid-associated ophthalmopathy based on facial images X Huang, L Ju, J Li, L He, F Tong, S Liu, P Li, Y Zhang, X Wang, Z Yang, ... Frontiers in Medicine 9, 920716, 2022 | 16 | 2022 |
| Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China Y Ma, J Xiong, Y Zhu, Z Ge, R Hua, M Fu, C Li, B Wang, L Dong, X Zhao, ... Science bulletin 67 (1), 17-20, 2022 | 14 | 2022 |
| Unsupervised domain adaptive fundus image segmentation with category-level regularization W Feng, L Wang, L Ju, X Zhao, X Wang, X Shi, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| Flexible sampling for long-tailed skin lesion classification L Ju, Y Wu, L Wang, Z Yu, X Zhao, X Wang, P Bonnington, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Improve unseen domain generalization via enhanced local color transformation J Xiong, AW He, M Fu, X Hu, Y Zhang, C Liu, X Zhao, Z Ge Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 8 | 2020 |
| Unsupervised domain adaptation for medical image segmentation by selective entropy constraints and adaptive semantic alignment W Feng, L Ju, L Wang, K Song, X Zhao, Z Ge Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 623-631, 2023 | 7 | 2023 |
| Development and validation of a deep learning algorithm using fundus photographs to predict 10-year risk of ischemic cardiovascular diseases among Chinese population Y Ma, J Xiong, Y Zhu, Z Ge, R Hua, M Fu, C Li, B Wang, L Dong, X Zhao, ... medRxiv, 2021.04. 15.21255176, 2021 | 6 | 2021 |
| Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score R Hua, J Xiong, G Li, Y Zhu, Z Ge, Y Ma, M Fu, C Li, B Wang, L Dong, ... Age and Ageing 51 (12), afac282, 2022 | 4 | 2022 |
| Method, apparatus and system for detecting fundus image based on machine learning X Zhao, JH Xiong, LI Shulei, YP Ma, C He, D Zhang US Patent 11,501,428, 2022 | 3 | 2022 |
| Long-tailed multi-label retinal diseases recognition using hierarchical information and hybrid knowledge distillation L Ju, X Wang, Z Yu, L Wang, X Zhao, Z Ge arXiv preprint arXiv:2111.08913, 2021 | 3 | 2021 |
| A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs YD Ding, Y Zhang, LQ He, M Fu, X Zhao, LK Huang, B Wang, YZ Chen, ... Zhonghua xin xue Guan Bing za zhi 50 (12), 1201-1206, 2022 | 2 | 2022 |
| Unsupervised domain adaptation for retinal vessel segmentation with adversarial learning and transfer normalization W Feng, L Ju, L Wang, K Song, X Wang, X Zhao, Q Tao, Z Ge arXiv preprint arXiv:2108.01821, 2021 | 2 | 2021 |
