Adaptive Knowledge Distillation for High-Quality Unsupervised MRI Reconstruction With Model-Driven Priors
Author:
Affiliation:
1. School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10550931/10433659.pdf?arnumber=10433659
Reference62 articles.
1. Applications of deep learning to MRI images: A survey
2. Sparse MRI: The application of compressed sensing for rapid MR imaging
3. AI-based reconstruction for fast MRIA systematic review and meta-analysis;Chen,2022
4. Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data
5. Compressed sensing
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