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Learning stochastic object models from medical imaging measurements by
  use of advanced ambient generative adversarial networks

Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks

27 June 2021
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks"

27 / 27 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
187
30,069
0
01 Mar 2022
Prior Image-Constrained Reconstruction using Style-Based Generative
  Models
Prior Image-Constrained Reconstruction using Style-Based Generative Models
Varun A. Kelkar
M. Anastasio
34
30
0
24 Feb 2021
Advancing the AmbientGAN for learning stochastic object models
Advancing the AmbientGAN for learning stochastic object models
Weimin Zhou
Sayantan Bhadra
F. Brooks
Jason L. Granstedt
Hua Li
M. Anastasio
GAN
MedIm
41
3
0
30 Jan 2021
Approximating the Ideal Observer for joint signal detection and
  localization tasks by use of supervised learning methods
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
Weimin Zhou
Hua Li
M. Anastasio
29
30
0
29 May 2020
Medical image reconstruction with image-adaptive priors learned by use
  of generative adversarial networks
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
Sayantan Bhadra
Weimin Zhou
M. Anastasio
MedIm
GAN
31
28
0
27 Jan 2020
Markov-Chain Monte Carlo Approximation of the Ideal Observer using
  Generative Adversarial Networks
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
Weimin Zhou
M. Anastasio
39
21
0
26 Jan 2020
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
256
5,769
0
03 Dec 2019
Image-Adaptive GAN based Reconstruction
Image-Adaptive GAN based Reconstruction
Shady Abu Hussein
Tom Tirer
Raja Giryes
GAN
46
89
0
12 Jun 2019
Approximating the Ideal Observer and Hotelling Observer for binary
  signal detection tasks by use of supervised learning methods
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
Weimin Zhou
Hua Li
M. Anastasio
39
67
0
15 May 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial
  Networks
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li
Bo Jiang
Benjamin M. Marlin
GAN
SyDa
43
167
0
25 Feb 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
513
10,500
0
12 Dec 2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar
Florian Knoll
Anuroop Sriram
Tullie Murrell
Zhengnan Huang
...
Erich Owens
C. L. Zitnick
M. Recht
D. Sodickson
Yvonne W. Lui
OOD
45
836
0
21 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
228
5,363
0
28 Sep 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
109
7,318
0
27 Oct 2017
Do GANs actually learn the distribution? An empirical study
Do GANs actually learn the distribution? An empirical study
Sanjeev Arora
Yi Zhang
41
191
0
26 Jun 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
150
9,509
0
31 Mar 2017
Compressed Sensing using Generative Models
Compressed Sensing using Generative Models
Ashish Bora
A. Jalal
Eric Price
A. Dimakis
100
804
0
09 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
148
4,822
0
26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
77
2,102
0
17 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
83
1,800
0
22 Dec 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
121
6,962
0
13 Aug 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
407
8,999
0
10 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
349
18,300
0
27 May 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
539
27,231
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
234
13,968
0
19 Nov 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
GAN
79
2,241
0
18 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.0K
149,474
0
22 Dec 2014
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