Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction-Reference-Cited by-同舟云学术

Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction

Published:2023 Issue: Volume:9 Page:796-807
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Gan Weijie¹^ORCID,Ying Chunwei²^ORCID,Boroojeni Parna Eshraghi³^ORCID,Wang Tongyao³^ORCID,Eldeniz Cihat²^ORCID,Hu Yuyang⁴^ORCID,Liu Jiaming⁴^ORCID,Chen Yasheng⁵^ORCID,An Hongyu⁶^ORCID,Kamilov Ulugbek S.¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA

2. Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA

3. Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA

4. Department of Electrical and System Engineering, Washington University in St. Louis, St. Louis, MO, USA

5. Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA

6. Department of Neurology, Biomedical Engineering, Electrical and System Engineering, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA

Funder

NSF CAREER

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6745852/10038323/10214618-aam.pdf

Reference50 articles.

1. A review on deep learning MRI reconstruction without fully sampled k-space

2. Deep Equilibrium Architectures for Inverse Problems in Imaging

3. Sensing theorems for unsupervised learning in linear inverse problems;tachella;J Mach Learn Res,2023

4. Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

5. JFB: Jacobian-Free Backpropagation for Implicit Networks

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