| Semi-supervised medical image segmentation via cross teaching between cnn and transformer X Luo, M Hu, T Song, G Wang, S Zhang International conference on medical imaging with deep learning, 820-833, 2022 | 261 | 2022 |
| Knowledge distillation from multi-modal to mono-modal segmentation networks M Hu, M Maillard, Y Zhang, T Ciceri, G La Barbera, I Bloch, P Gori Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 142 | 2020 |
| Scribble-supervised medical image segmentation via dual-branch network and dynamically mixed pseudo labels supervision X Luo, M Hu, W Liao, S Zhai, T Song, G Wang, S Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 112 | 2022 |
| Fully test-time adaptation for image segmentation M Hu, T Song, Y Gu, X Luo, J Chen, Y Chen, Y Zhang, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 45 | 2021 |
| Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images F Gao, M Hu, ME Zhong, S Feng, X Tian, X Meng, Z Huang, M Lv, T Song, ... Medical Image Analysis 80, 102515, 2022 | 33 | 2022 |
| Cycle-Consistent Bridge Diffusion Model for Accelerated MRI Reconstruction T Song, Y Wu, M Hu, X Luo, G Luo, G Wang, Y Guo, F Xu, S Zhang arXiv preprint arXiv:2412.09998, 2024 | | 2024 |
| Cross Group Attention and Group-wise Rolling for Multimodal Medical Image Synthesis T Song, Y Wu, M Hu, X Luo, L Wei, G Wang, Y Guo, F Xu, S Zhang arXiv preprint arXiv:2411.14684, 2024 | | 2024 |
| Multimodal MR Image Synthesis via Learning Adaptive Group-wise Interactions T Song, Y Wu, M Hu, X Luo, L Wei, S Feng, G Wang, Y Guo, F Xu, ... | | |
Tao SongFudan University, Shanghai AI LabVerified email at m.fudan.edu.cn