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Self-supervised Deep Unrolled Reconstruction Using Regularization by
  Denoising

Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising

7 May 2022
Peizhou Huang
C. Zhang
Xiaoliang Zhang
Xiaojuan Li
Liang Dong
L. Ying
ArXivPDFHTML

Papers citing "Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising"

5 / 5 papers shown
Title
Benchmarking Self-Supervised Methods for Accelerated MRI Reconstruction
Benchmarking Self-Supervised Methods for Accelerated MRI Reconstruction
Andrew Wang
Mike Davies
OOD
SSL
106
0
0
19 Feb 2025
Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Xiaoyu Qiao
Weisheng Li
Bin Xiao
Yuping Huang
Lijian Yang
DiffM
20
3
0
05 May 2024
High-Frequency Space Diffusion Models for Accelerated MRI
High-Frequency Space Diffusion Models for Accelerated MRI
Chentao Cao
Zhuoxu Cui
Yue Wang
Shaonan Liu
Taijin Chen
Hairong Zheng
Dong Liang
Yanjie Zhu
DiffM
MedIm
19
48
0
10 Aug 2022
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Ke Lei
Morteza Mardani
John M. Pauly
S. Vasanawala
GAN
MedIm
21
58
0
15 Oct 2019
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
42
211
0
06 Jun 2018
1