| Improving medical image 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, 2022 | 148 | 2022 |
| Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction Y Shen, L Wang, W Jian, J Shang, X Wang, L Ju, M Li, J Zhao, X Chen, ... British Journal of Ophthalmology, 2021 | 92 | 2021 |
| Deep cascaded convolutional models for cattle pose estimation X Li, C Cai, R Zhang, L Ju, J He Computers and Electronics in Agriculture 164, 104885, 2019 | 75 | 2019 |
| A multimodal vision foundation model for clinical dermatology S Yan, Z Yu, C Primiero, C Vico-Alonso, Z Wang, L Yang, P Tschandl, ... Nature Medicine, 1-12, 2025 | 71* | 2025 |
| 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, 2021 | 70* | 2021 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 54 | 2021 |
| 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 | 53 | 2023 |
| 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 | 49 | 2021 |
| Retinal abnormalities recognition using regional multitask learning X Wang, L Ju, X Zhao, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 46 | 2019 |
| 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, 2021 | 44 | 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 | 40 | 2022 |
| TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM W Li, X Xiong, P Xia, L Ju, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 37 | 2024 |
| Hierarchical knowledge guided learning for real-world retinal disease recognition L Ju, Z Yu, L Wang, X Zhao, X Wang, P Bonnington, Z Ge IEEE Transactions on Medical Imaging 43 (1), 335-350, 2023 | 37* | 2023 |
| Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings Z Yu, T Nguyen, Y Gal, L Ju, S Chandra, L Zhang, P Bonnington, V Mar, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 36 | 2022 |
| Diversified and Personalized Multi-rater Medical Image Segmentation Y Wu, X Luo, Z Xu, X Guo, L Ju, Z Ge, W Liao, J Cai CVPR 2024, 2024 | 33 | 2024 |
| 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 | 24 | 2022 |
| Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations P Xia, M Hu, F Tang, W Li, W Zheng, L Ju, P Duan, H Yao, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 23 | 2024 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 23 | 2021 |
| NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding M Hu, L Wang, S Yan, D Ma, Q Ren, P Xia, W Feng, P Duan, L Ju, Z Ge NeurIPS 2023, 2023 | 22 | 2023 |
| Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs X Ren, W Feng, R Ran, Y Gao, Y Lin, X Fu, Y Tao, T Wang, B Wang, L Ju, ... Eye, 1-7, 2022 | 22 | 2022 |
Zongyuan (Tony) GeAssociate Prof | Director of AIM for Health Lab | NVIDIA AI, Viertel Bellberry FellowshipVerified email at monash.edu
