| Task transformer network for joint MRI reconstruction and super-resolution CM Feng, Y Yan, H Fu, L Chen, Y Xu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 129 | 2021 |
| Multi-modal transformer for accelerated MR imaging CM Feng, Y Yan, G Chen, Y Xu, Y Hu, L Shao, H Fu IEEE Transactions on Medical Imaging, 2022 | 88* | 2022 |
| Specificity-preserving federated learning for MR image reconstruction CM Feng, Y Yan, S Wang, Y Xu, L Shao, H Fu IEEE Transactions on Medical Imaging, 2022 | 62 | 2022 |
| Exploring separable attention for multi-contrast MR image super-resolution CM Feng, Y Yan, K Yu, Y Xu, H Fu, J Yang, L Shao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 26 | 2024 |
| Cross-modal vertical federated learning for mri reconstruction Y Yan, H Wang, Y Huang, N He, L Zhu, Y Xu, Y Li, Y Zheng IEEE Journal of Biomedical and Health Informatics, 2024 | 3 | 2024 |
| Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction Y Yan, CM Feng, Y Li, RSM Goh, L Zhu arXiv preprint arXiv:2308.10910, 2023 | 1 | 2023 |
| Rethinking Client Drift in Federated Learning: A Logit Perspective Y Yan, CM Feng, M Ye, W Zuo, P Li, RSM Goh, L Zhu, CL Chen arXiv preprint arXiv:2308.10162, 2023 | 1 | 2023 |
| A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Y Yan, L Zhu arXiv preprint arXiv:2306.09363, 2023 | 1 | 2023 |
| One-shot Federated Learning with Training-Free Client Y Yan, H Fu, Y Li, L Zhu | | |
