Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations-Reference-Cited by-同舟云学术

Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Imaging Systems and Techniques (IST)
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Author:

Thomaz Aline A.S.¹,Lima Jonathan A.S.²,Miosso Cristiano J.²,Farias Mylene C.Q.¹,Krylov Andrey S.³,Ding Yong⁴

Affiliation:

1. University of Brasilia (UnB),Department of Electrical Engineering,Brasilia,Brazil

2. University of Brasilia (UnB),Biomedical Engineering Graduate Program,Brasilia,Brazil

3. Lomonosov Moscow State University,Faculty of Computational Mathematics and Cybernetics,Moscow,Russia

4. College of Information Science and Electronic Engineering, Zhejiang University,Zhejiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9827659/9827662/09827727.pdf?arnumber=9827727

Reference24 articles.

1. An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI

2. Reduced circular field-of-view imaging

3. Near-ideal model selection by ℓ1 minimization

4. Nonlinear total variation based noise removal algorithms

5. Adaptive MRI image denoising using total-variation and local noise estimation;varghees;IEEE-International Conference On Advances In Engineering Science And Management (ICAESM -2012) ICAESM,2012

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