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Compressed Sensing MRI Reconstruction using a Generative Adversarial
  Network with a Cyclic Loss

Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss

3 September 2017
Tran Minh Quan
Thanh Nguyen-Duc
W. Jeong
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss"

48 / 148 papers shown
Title
Converged Deep Framework Assembling Principled Modules for CS-MRI
Converged Deep Framework Assembling Principled Modules for CS-MRI
Risheng Liu
Yuxi Zhang
Shichao Cheng
Zhongxuan Luo
Xin-Yue Fan
19
1
0
29 Oct 2019
Compressed Sensing with Probability-based Prior Information
Compressed Sensing with Probability-based Prior Information
Qianru Jiang
Sheng Li
Zhihui Zhu
Huang Bai
Xiongxiong He
R. D. Lamare
4
0
0
27 Oct 2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators
  for Coronary MRA Using an Unrolled Deep Learning Model
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Mario O. Malavé
C. Baron
Srivathsan P. Koundinyan
Christopher M. Sandino
Frank Ong
Joseph Y. Cheng
D. Nishimura
18
42
0
24 Oct 2019
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
38
64
0
15 Oct 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
Xin Ding
Z. Jane Wang
William J. Welch
19
18
0
24 Sep 2019
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated
  MRI
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI
Tomer Weiss
Ortal Senouf
S. Vedula
O. Michailovich
M. Zibulevsky
A. Bronstein
MedIm
14
77
0
12 Sep 2019
Recon-GLGAN: A Global-Local context based Generative Adversarial Network
  for MRI Reconstruction
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
Balamurali Murugesan
S. VijayaRaghavan
Kaushik Sarveswaran
Keerthi Ram
M. Sivaprakasam
GAN
MedIm
11
23
0
25 Aug 2019
LANTERN: learn analysis transform network for dynamic magnetic resonance
  imaging with small dataset
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
Shanshan Wang
Yanxia Chen
Taohui Xiao
Ziwen Ke
Qiegen Liu
Hairong Zheng
17
4
0
24 Aug 2019
Towards multi-sequence MR image recovery from undersampled k-space data
Towards multi-sequence MR image recovery from undersampled k-space data
Cheng-Fang Peng
Wei-An Lin
Rama Chellappa
S. Kevin Zhou
16
8
0
15 Aug 2019
Efficient Structurally-Strengthened Generative Adversarial Network for
  MRI Reconstruction
Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction
Wenzhong Zhou
Huiqian Du
Wenbo Mei
Liping Fang
GAN
MedIm
16
16
0
11 Aug 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
20
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
19
81
0
26 Jul 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural
  Networks
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks
Dong Liang
Jing Cheng
Ziwen Ke
L. Ying
22
56
0
26 Jul 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
C. D. Bahadir
Alan Q. Wang
Adrian V. Dalca
M. Sabuncu
19
9
0
26 Jul 2019
A Single Video Super-Resolution GAN for Multiple Downsampling Operators
  based on Pseudo-Inverse Image Formation Models
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models
Santiago López-Tapia
Alice Lucas
Rafael Molina
Aggelos K. Katsaggelos
SupR
21
19
0
02 Jul 2019
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data
  and Transferred for Medical Imaging
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging
Huidong Xie
Hongming Shan
W. Cong
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm
3DV
27
21
0
02 Jul 2019
Model-based Deep Medical Imaging: the roadmap of generalizing iterative
  reconstruction model using deep learning
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning
Jing Cheng
Haifeng Wang
Yanjie Zhu
Qiegen Liu
Qiyang Zhang
...
Zhanli Hu
Xin Liu
Hairong Zheng
L. Ying
Dong Liang
OOD
MedIm
21
5
0
19 Jun 2019
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR
  imaging with complex convolution
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
Shanshan Wang
Huitao Cheng
Leslie Ying
Taohui Xiao
Ziwen Ke
Xin Liu
Hairong Zheng
Dong Liang
23
2
0
11 Jun 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
13
238
0
04 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image
  Reconstruction
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll
Kerstin Hammernik
Chi Zhang
S. Moeller
T. Pock
D. Sodickson
Mehmet Akçakaya
OOD
27
263
0
01 Apr 2019
Unsupervised Medical Image Translation Using Cycle-MedGAN
Unsupervised Medical Image Translation Using Cycle-MedGAN
Karim Armanious
Chenming Jiang
Sherif Abdulatif
Thomas Kustner
S. Gatidis
Bin Yang
MedIm
8
113
0
08 Mar 2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed
  Sensing MRI Reconstruction
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Zhongnian Li
Tao Zhang
Peng Wan
Daoqiang Zhang
MedIm
GAN
6
28
0
18 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
6
110
0
08 Feb 2019
Uncertainty Quantification in Deep MRI Reconstruction
Uncertainty Quantification in Deep MRI Reconstruction
Vineet Edupuganti
Morteza Mardani
S. Vasanawala
John M. Pauly
UQCV
11
95
0
31 Jan 2019
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with
  Edge-enhanced Loss Constraint
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint
Ziwen Ke
Shanshan Wang
Huitao Cheng
L. Ying
Qiegen Liu
Hairong Zheng
Dong Liang
MedIm
27
5
0
18 Jan 2019
Learning-based Optimization of the Under-sampling Pattern in MRI
Learning-based Optimization of the Under-sampling Pattern in MRI
C. D. Bahadir
Adrian V. Dalca
M. Sabuncu
11
111
0
07 Jan 2019
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for
  MR image reconstruction
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction
Fang Liu
Lihua Chen
Richard Kijowski
Li Feng
13
58
0
08 Dec 2018
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic
  Resonance Image Reconstruction
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
R. Souza
Richard Frayne
14
55
0
30 Oct 2018
Generative adversarial networks and adversarial methods in biomedical
  image analysis
Generative adversarial networks and adversarial methods in biomedical image analysis
J. Wolterink
Konstantinos Kamnitsas
C. Ledig
Ivana Išgum
MedIm
GAN
22
21
0
24 Oct 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in
  Medical Ultrasound
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Micha Feigin-Almon
Daniel Freedman
B. Anthony
SyDa
MedIm
11
86
0
30 Sep 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
17
118
0
30 Sep 2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in
  Histopathology Images
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood
Daniel Borders
Richard J. Chen
Gregory N. McKay
Kevan J. Salimian
Alexander S. Baras
Nicholas J. Durr
GAN
MedIm
34
279
0
29 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
18
408
0
13 Sep 2018
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling
  for efficient MR T2 mapping
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping
Fang Liu
Li Feng
Richard Kijowski
9
0
0
02 Sep 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
Generative Adversarial Networks and Perceptual Losses for Video
  Super-Resolution
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
Alice Lucas
Santiago López-Tapia
Rafael Molina
Aggelos K. Katsaggelos
GAN
SupR
41
173
0
14 Jun 2018
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR
  Angiography
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
Eunju Cha
E. Kim
J. C. Ye
11
5
0
03 Jun 2018
Distribution Matching Losses Can Hallucinate Features in Medical Image
  Translation
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen
Margaux Luck
S. Honari
OOD
MedIm
12
280
0
22 May 2018
k-Space Deep Learning for Accelerated MRI
k-Space Deep Learning for Accelerated MRI
Yoseob Han
Leonard Sunwoo
J. C. Ye
38
188
0
10 May 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with
  Bandpass Filtering
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering
Joseph Y. Cheng
Feiyu Chen
M. Alley
John M. Pauly
S. Vasanawala
13
43
0
08 May 2018
A Deep Information Sharing Network for Multi-contrast Compressed Sensing
  MRI Reconstruction
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
13
106
0
10 Apr 2018
A Deep Error Correction Network for Compressed Sensing MRI
A Deep Error Correction Network for Compressed Sensing MRI
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
MedIm
31
12
0
23 Mar 2018
Noise2Noise: Learning Image Restoration without Clean Data
Noise2Noise: Learning Image Restoration without Clean Data
J. Lehtinen
Jacob Munkberg
J. Hasselgren
S. Laine
Tero Karras
M. Aittala
Timo Aila
25
1,582
0
12 Mar 2018
Selective Sampling and Mixture Models in Generative Adversarial Networks
Selective Sampling and Mixture Models in Generative Adversarial Networks
Karim Barsim
Lirong Yang
Binh Yang
GAN
25
0
0
02 Feb 2018
A Transfer-Learning Approach for Accelerated MRI using Deep Neural
  Networks
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks
S. Dar
Muzaffer Özbey
Ahmet Burak Çatlı
Tolga Çukur
MedIm
OOD
20
165
0
07 Oct 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
Paul Hand
V. Voroninski
UQCV
25
137
0
22 May 2017
FusionNet: A deep fully residual convolutional neural network for image
  segmentation in connectomics
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan
David Grant Colburn Hildebrand
W. Jeong
16
235
0
16 Dec 2016
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