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SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

4 June 2021
Kuan Zhang
Haoji Hu
Kenneth A. Philbrick
G. Conte
Joseph D. Sobek
Pouria Rouzrokh
Bradley J. Erickson
    GANMedIm
ArXiv (abs)PDFHTML

Papers citing "SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks"

27 / 27 papers shown
Title
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement
ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement
Samuel W. Remedios
Shuwen Wei
Shuo Han
Jinwei Zhang
A. Carass
Kurt G. Schilling
Dzung L. Pham
Jerry L. Prince
Blake E. Dewey
90
0
0
14 Mar 2025
End-to-End Variational Networks for Accelerated MRI Reconstruction
End-to-End Variational Networks for Accelerated MRI Reconstruction
Anuroop Sriram
Jure Zbontar
Tullie Murrell
Aaron Defazio
C. L. Zitnick
N. Yakubova
Florian Knoll
Patricia M. Johnson
DRL
54
316
0
14 Apr 2020
Anisotropic Super Resolution in Prostate MRI using Super Resolution
  Generative Adversarial Networks
Anisotropic Super Resolution in Prostate MRI using Super Resolution Generative Adversarial Networks
Rewa Sood
M. Rusu
MedImGAN
38
26
0
19 Dec 2019
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT
  Slice Interval
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
Akira Kudo
Yoshiro Kitamura
Yuanzhong Li
S. Iizuka
E. Simo-Serra
3DPCMedIm
38
35
0
30 Aug 2019
Enhanced generative adversarial network for 3D brain MRI
  super-resolution
Enhanced generative adversarial network for 3D brain MRI super-resolution
Jiancong Wang
Yuhua Chen
Yifan Wu
Jianbo Shi
J. Gee
MedImGAN
58
62
0
10 Jul 2019
Brain MRI super-resolution using 3D generative adversarial networks
Brain MRI super-resolution using 3D generative adversarial networks
Irina Sanchez
Verónica Vilaplana
MedIm
68
78
0
29 Dec 2018
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
43
58
0
08 Dec 2018
Channel Splitting Network for Single MR Image Super-Resolution
Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao
Yulun Zhang
Zhang Tao
Xueming Zou
SupR
64
138
0
15 Oct 2018
The 2018 PIRM Challenge on Perceptual Image Super-resolution
The 2018 PIRM Challenge on Perceptual Image Super-resolution
Yochai Blau
Roey Mechrez
Radu Timofte
T. Michaeli
Lihi Zelnik-Manor
SupR
78
465
0
20 Sep 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
157
3,728
0
01 Sep 2018
Computed Tomography Image Enhancement using 3D Convolutional Neural
  Network
Computed Tomography Image Enhancement using 3D Convolutional Neural Network
Meng Li
Shiwen Shen
Wen Gao
William Hsu
Jason Cong
38
22
0
18 Jul 2018
The relativistic discriminator: a key element missing from standard GAN
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
GAN
60
974
0
02 Jul 2018
CT-image Super Resolution Using 3D Convolutional Neural Network
CT-image Super Resolution Using 3D Convolutional Neural Network
Yukai Wang
Qizhi Teng
Xiaohai He
Junxi Feng
Tingrong Zhang
SupRMedIm
65
95
0
24 Jun 2018
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
Self Super-Resolution for Magnetic Resonance Images using Deep Networks
Can Zhao
A. Carass
Blake E. Dewey
Jerry L. Prince
SupR
33
55
0
26 Feb 2018
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural
  Networks
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
Yuhua Chen
Yibin Xie
Zhengwei Zhou
Feng Shi
A. Christodoulou
Debiao Li
SupR
59
231
0
08 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
143
1,020
0
07 Dec 2017
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
Tran Minh Quan
Thanh Nguyen-Duc
W. Jeong
GANMedIm
95
541
0
03 Sep 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
176
5,908
0
10 Jul 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
75
1,542
0
03 Apr 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,796
0
15 Jan 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
324
5,234
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
Combining Markov Random Fields and Convolutional Neural Networks for
  Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Chuan Li
Michael Wand
78
769
0
18 Jan 2016
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
155
8,087
0
31 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
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