Learning Task-Specific Strategies for Accelerated MRI-Reference-Cited by-同舟云学术

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Learning Task-Specific Strategies for Accelerated MRI

Published:2024 Issue: Volume:10 Page:1040-1054
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Wu Zihui¹^ORCID,Yin Tianwei²^ORCID,Sun Yu¹,Frost Robert³^ORCID,van der Kouwe Andre³,Dalca Adrian V.²^ORCID,Bouman Katherine L.¹^ORCID

Affiliation:

1. Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA

2. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA

3. Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, MGH, Harvard Medical School, Charlestown, MA, USA

Funder

Kortschak Fellowship

Amazon AI4Science Fellowship

Amazon AI4Science Partnership Discovery Grant

NSF

NIH

Heritage Medical Research Fellowship

S2I Clinard Innovation Award

Rockley Photonics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/6745852/10398876/10578304-aam.pdf

Reference73 articles.

1. Sparse MRI: The application of compressed sensing for rapid MR imaging

2. Compressed Sensing MRI

3. The Little Engine That Could: Regularization by Denoising (RED)

4. Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

5. RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning for accelerated and robust MRI reconstruction;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-23

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