| Local and global structure-aware entropy regularized mean teacher model for 3d left atrium segmentation W Hang, W Feng, S Liang, L Yu, Q Wang, KS Choi, J Qin Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 99 | 2020 |
| Cross-subject EEG signal recognition using deep domain adaptation network W Hang, W Feng, R Du, S Liang, Y Chen, Q Wang, X Liu IEEE Access 7, 128273-128282, 2019 | 63 | 2019 |
| Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy H Hakeem, W Feng, Z Chen, J Choong, MJ Brodie, SL Fong, KS Lim, ... JAMA neurology 79 (10), 986-996, 2022 | 29 | 2022 |
| Deep stacked support matrix machine based representation learning for motor imagery EEG classification W Hang, W Feng, S Liang, Q Wang, X Liu, KS Choi Computer methods and programs in biomedicine 193, 105466, 2020 | 23 | 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 |
| 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 37 (10), 2026-2032, 2023 | 9 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 623-631, 2023 | 7 | 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 158, 106714, 2023 | 5 | 2023 |
| Zongyuan Ge. 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 Proceedings of the AAAI Conference on Artificial Intelligence 37, 623-631, 2023 | 5 | 2023 |
| Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep … W Feng, M Duan, B Wang, Y Du, Y Zhao, B Wang, L Zhao, Z Ge, Y Hu Journal of Big Data 10 (1), 111, 2023 | 2 | 2023 |
| Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation A Shi, W Feng 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 2 | 2023 |
| 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 |
| Towards open-scenario semi-supervised medical image classification L Ju, Y Wu, W Feng, Z Yu, L Wang, Z Zhu, Z Ge arXiv preprint arXiv:2304.04059, 2023 | 1 | 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 | 1 | 2022 |
| 3D Matting: A Soft Segmentation Method Applied in Computed Tomography L Wang, X Ye, D Zhang, W He, L Ju, X Wang, W Feng, K Song, X Zhao, ... arXiv preprint arXiv:2209.07843, 2022 | 1 | 2022 |
| Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation F Tang, Z Xu, Z Qu, W Feng, X Jiang, Z Ge arXiv preprint arXiv:2403.07630, 2024 | | 2024 |
| 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 Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Development and validation of a semi-supervised deep learning model for automatic retinopathy of prematurity staging W Feng, Q Huang, T Ma, L Ju, Z Ge, Y Chen, P Zhao Iscience 27 (1), 2024 | | 2024 |
| Development and Validation of an Algorithm Model for Predicting Heat Sink Effects during Pulmonary Thermal Ablation. P Du, Z Chen, W Yu, L Meng, W Feng, Z Ge, X Zhang, Y Xiao Current Medical Imaging, 2023 | | 2023 |
| Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering W Feng, L Ju, L Wang, K Song, Z Ge International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Zongyuan (Tony) GeAssociate Professor | Director of AIM for Health Lab | Head of Monash Medical AI | NVIDIA AI FellowVerified email at monash.edu
