An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee-Reference-Cited by-同舟云学术

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An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee

Published:2023-09-06 Issue:3 Volume:16 Page:1791-1824
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Yang Yan¹^ORCID,Wang Yizhou²^ORCID,Wang Jiazhen¹,Sun Jian³,Xu Zongben¹

Affiliation:

1. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, People’s Republic of China.

2. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115 USA.

3. Corresponding author. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, People’s Republic of China.

Funder

National Key Research and Development Programs

National Natural Science Foundation of China

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference49 articles.

1. MoDL: Model-Based Deep Learning Architecture for Inverse Problems

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

3. Low-dimensional-structure self-learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction

4. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

5. A New Class of Alternating Proximal Minimization Algorithms with Costs-to-Move

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