| AttU-Net: attention U-Net for brain tumor segmentation S Wang, L Li, X Zhuang International MICCAI brainlesion workshop, 302-311, 2021 | 17 | 2021 |
| MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images L Li, F Wu, S Wang, X Luo, C Martín-Isla, S Zhai, J Zhang, Y Liu, Z Zhang, ... Medical Image Analysis 87, 102808, 2023 | 16 | 2023 |
| Multi-modality pathology segmentation framework: application to cardiac magnetic resonance images Z Zhang, C Liu, W Ding, S Wang, C Pei, M Yang, L Huang Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic …, 2020 | 14 | 2020 |
| Anatomy prior based u-net for pathology segmentation with attention Y Zhou, K Zhang, X Luo, S Wang, X Zhuang International Workshop on Statistical Atlases and Computational Models of …, 2020 | 8 | 2020 |
| Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images: First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru … X Zhuang, L Li Springer Nature, 2020 | 6 | 2020 |
| Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation Z Gao, L Li, F Wu, S Wang, X Zhuang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| Multi-modality cardiac image analysis with deep learning L Li, F Wu, S Wang, X Zhuang Deep Learning for Medical Image Analysis, 299-335, 2024 | | 2024 |
