| 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 | 69 | 2022 |
| 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 | 53 | 2019 |
| 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 | 50 | 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, 2021 | 41* | 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 | 37 | 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 | 34 | 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 | 32 | 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, 2021 | 23 | 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 |
| 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 | 16 | 2021 |
| 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 |
| 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 | 9 | 2022 |
| Graph regularized multiview marginal discriminant projection H Pan, J He, Y Ling, L Ju, G He Journal of Visual Communication and Image Representation 57, 12-22, 2018 | 9 | 2018 |
| 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 | 8 | 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 |
| 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, 2023 | 5* | 2023 |
| 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 AAAI 2023, 2023 | 5 | 2023 |
| Medical matting: Medical image segmentation with uncertainty from the matting perspective L Wang, X Ye, L Ju, W He, D Zhang, X Wang, Y Huang, W Feng, K Song, ... Computers in Biology and Medicine, 2023 | 5 | 2023 |
| miRLocator: A Python Implementation and Web Server for Predicting miRNAs from Pre-miRNA Sequences T Zhang, L Ju, J Zhai, Y Song, J Song, C Ma Plant MicroRNAs, 89-97, 2019 | 4 | 2019 |
| LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition P Xia, D Xu, L Ju*, M Hu, J Chen, Z Ge arXiv preprint arXiv:2305.04536, 2023 | 3 | 2023 |
Zongyuan (Tony) GeAssociate Professor | Director of AIM for Health Lab | Head of Monash Medical AI | NVIDIA AI FellowVerified email at monash.edu
