| Improving medical image classification with label noise using dual-uncertainty estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, M Harandi, T Drummond, ... IEEE Transactions on Medical Imaging, 2022 | 77 | 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 107 (2), 201-206, 2021 | 58 | 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 Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021, 3--12, 2021 | 42 | 2021 |
| Denoising hybrid noises in image with stacked autoencoder X Ye, L Wang, H Xing, L Huang 2015 IEEE International Conference on Information and Automation, 2720-2724, 2015 | 37 | 2015 |
| 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 | 27 | 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 | 19 | 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, ... Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021 …, 2021 | 17 | 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 | 13 | 2023 |
| Yolo nano underwater: A fast and compact object detector for embedded device L Wang, X Ye, H Xing, Z Wang, P Li Global Oceans 2020: Singapore–US Gulf Coast, 1-4, 2020 | 13 | 2020 |
| 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 |
| When SAM meets sonar images L Wang, X Ye, L Zhu, W Wu, J Zhang, H Xing, C Hu IEEE Geoscience and Remote Sensing Letters, 2024 | 11* | 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, 2023 | 10* | 2023 |
| 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 |
| A fast hierarchical mrf sonar image segmentation algorithm L Wang, XF Ye, G Wang, L Wang International Journal of Robotics and Automation 32 (1), 48-54, 2017 | 7 | 2017 |
| ULO: An underwater light-weight object detector for edge computing L Wang, X Ye, S Wang, P Li Machines 10 (8), 629, 2022 | 6 | 2022 |
| An improved algorithm for triangle to triangle intersection test X Ye, L Huang, L Wang, H Xing 2015 IEEE International Conference on Information and Automation, 2689-2694, 2015 | 6 | 2015 |
| 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 158, 106714, 2023 | 5 | 2023 |
| 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, ... NeurIPS 2023 Datasets and Benchmarks Track, 2023 | 4 | 2023 |
| 3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography L Wang, X Ye, D Zhang, W He, L Ju, Y Luo, H Luo, X Wang, W Feng, ... Computers in Biology and Medicine 150, 106153, 2022 | 3* | 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 | 3 | 2021 |
Zongyuan (Tony) GeAssociate Professor | Director of AIM for Health Lab | Head of Monash Medical AI | NVIDIA AI FellowVerified email at monash.edu
