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Deep Low-rank plus Sparse Network for Dynamic MR Imaging

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

26 October 2020
Wenqi Huang
Ziwen Ke
Zhuoxu Cui
Jing Cheng
Zhilang Qiu
Sen Jia
Leslie Ying
Yanjie Zhu
Dong Liang
ArXivPDFHTML

Papers citing "Deep Low-rank plus Sparse Network for Dynamic MR Imaging"

15 / 15 papers shown
Title
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
80
0
0
17 Feb 2025
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Yiling Liu
Qiegen Liu
Minghui Zhang
Qingxin Yang
Shanshan Wang
Dong Liang
41
61
0
24 Sep 2019
Model Learning: Primal Dual Networks for Fast MR imaging
Model Learning: Primal Dual Networks for Fast MR imaging
Jing Cheng
Haifeng Wang
L. Ying
Dong Liang
MedIm
42
67
0
07 Aug 2019
Momentum-Net: Fast and convergent iterative neural network for inverse
  problems
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
54
82
0
26 Jul 2019
Deep Unfolded Robust PCA with Application to Clutter Suppression in
  Ultrasound
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon
Regev Cohen
Yi Zhang
Yi Yang
Qiong He
Jianwen Luo
Ruud J. G. van Sloun
Yonina C. Eldar
47
185
0
20 Nov 2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior
  Knowledge Obtained via Multi-Supervised Network Training
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training
Shanshan Wang
Ziwen Ke
Huitao Cheng
Seng Jia
L. Ying
Hairong Zheng
Dong Liang
35
119
0
30 Sep 2018
Denoising Prior Driven Deep Neural Network for Image Restoration
Denoising Prior Driven Deep Neural Network for Image Restoration
W. Dong
Peiyao Wang
W. Yin
Guangming Shi
Fangfang Wu
Xiaotong Lu
SupR
54
421
0
21 Jan 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
106
1,006
0
07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image
  Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
47
497
0
05 Dec 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
102
363
0
06 Sep 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
63
1,123
0
08 Apr 2017
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
143
232
0
03 Mar 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
736
149,474
0
22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
106
6,619
0
22 Dec 2012
Rank-Sparsity Incoherence for Matrix Decomposition
Rank-Sparsity Incoherence for Matrix Decomposition
V. Chandrasekaran
Sujay Sanghavi
P. Parrilo
A. Willsky
CML
166
1,111
0
11 Jun 2009
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