Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
This approach holds promise in addressing the escalating demand for high-dimensional data reconstruction in MRI applications.
Authors
- Congbo Cai (ORCID: https://orcid.org/0000-0002-0600-8594)
- Shufu Chang (ORCID: https://orcid.org/0000-0003-4190-3655)
- Liuhong Zhu (ORCID: https://orcid.org/0000-0003-1251-6744)
- Min Xiao (ORCID: https://orcid.org/0000-0002-8992-153X)
- Naiming Wu
- Yirong Zhou (ORCID: https://orcid.org/0000-0002-6710-7668)
- Xiaobo Qu (ORCID: https://orcid.org/0000-0002-8675-5820)
- Di Guo (ORCID: https://orcid.org/0000-0002-9910-5720)
- Zi Wang (ORCID: https://orcid.org/0000-0001-8635-8334)
- Xianwang Jiang
- Y Chen (ORCID: https://orcid.org/0000-0002-4310-8252)
- He Wang (ORCID: https://orcid.org/0000-0002-2053-9439)
- Yi Li (ORCID: https://orcid.org/0000-0001-9255-1405)
- Guang Yang (ORCID: https://orcid.org/0000-0001-7344-7733)
- Jianjun Zhou (ORCID: https://orcid.org/0000-0002-0302-6850)
- Chengyan Wang (ORCID: https://orcid.org/0000-0002-8890-4973)
- Yiwen Gong
Institutions
- Sun Yat-sen University (CN)
- Xiamen University (CN)
- Fudan University (CN)
- Ruijin Hospital (CN)
- First Affiliated Hospital of Xiamen University (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
- Pudong Medical Center (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Neusoft (China) (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- Imperial College London (GB)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1109/tbme.2025.3574090
- Citations
- 4
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.44