Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Author:
Affiliation:
1. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR),Singapore
2. School of Information Science and Engineering, Shangdong University,China
3. Harbin Institute of Technology,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205077.pdf?arnumber=10205077
Reference41 articles.
1. Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
2. A distillation-based approach integrating continual learning and federated learning for pervasive services;usmanova;ArXiv Preprint,2021
3. DONet: Dual-Octave Network for Fast MR Image Reconstruction
4. A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction
5. Visual prompt tuning;jia;ArXiv Preprint,2022
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