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Model Learning: Primal Dual Networks for Fast MR imaging

Model Learning: Primal Dual Networks for Fast MR imaging

7 August 2019
Jing Cheng
Haifeng Wang
L. Ying
Dong Liang
    MedIm
ArXivPDFHTML

Papers citing "Model Learning: Primal Dual Networks for Fast MR imaging"

10 / 10 papers shown
Title
DuDoUniNeXt: Dual-domain unified hybrid model for single and
  multi-contrast undersampled MRI reconstruction
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Ziqi Gao
Yue Zhang
Xinwen Liu
Kaiyan Li
S. Kevin Zhou
52
1
0
08 Mar 2024
Stable Deep MRI Reconstruction using Generative Priors
Stable Deep MRI Reconstruction using Generative Priors
Martin Zach
Florian Knoll
Thomas Pock
OOD
MedIm
DiffM
33
17
0
25 Oct 2022
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging
  with Limited Angular Density
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density
Marion Savanier
Émilie Chouzenoux
J. Pesquet
C. Riddell
32
16
0
27 Sep 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Alper Gungor
S. Dar
cSaban Ozturk
Yilmaz Korkmaz
Gokberk Elmas
Muzaffer Özbey
Tolga cCukur
DiffM
MedIm
32
184
0
12 Jul 2022
A Learnable Variational Model for Joint Multimodal MRI Reconstruction
  and Synthesis
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis
Wanyu Bian
Qingchao Zhang
X. Ye
Yunmei Chen
DRL
29
22
0
08 Apr 2022
An Optimal Control Framework for Joint-channel Parallel MRI
  Reconstruction without Coil Sensitivities
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities
Wanyu Bian
Yunmei Chen
X. Ye
44
15
0
20 Sep 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial
  Transformers
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz
S. Dar
Mahmut Yurt
Muzaffer Özbey
Tolga Çukur
ViT
MedIm
27
190
0
15 May 2021
Learning to Optimize: A Primer and A Benchmark
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
54
225
0
23 Mar 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Javier Montalt-Tordera
V. Muthurangu
A. Hauptmann
J. Steeden
AI4CE
29
40
0
09 Dec 2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
Wenqi Huang
Ziwen Ke
Zhuoxu Cui
Jing Cheng
Zhilang Qiu
Sen Jia
Leslie Ying
Yanjie Zhu
Dong Liang
50
69
0
26 Oct 2020
1