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Self-Attention Generative Adversarial Network for Iterative
  Reconstruction of CT Images

Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images

23 December 2021
Ruiwen Xing
T. Humphries
D. Si
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images"

15 / 15 papers shown
Title
On instabilities of deep learning in image reconstruction - Does AI come
  at a cost?
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
35
601
0
14 Feb 2019
CT Super-resolution GAN Constrained by the Identical, Residual, and
  Cycle Learning Ensemble(GAN-CIRCLE)
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Chenyu You
Guang Li
Yi Zhang
Xiaoliu Zhang
Hongming Shan
...
Zhuiyang Zhang
W. Cong
Michael W. Vannier
P. Saha
Ge Wang
MedIm
GAN
SupR
46
403
0
10 Aug 2018
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary
  CT Angiography
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
Eunhee Kang
H. Koo
D. Yang
Joon Bum Seo
J. C. Ye
MedIm
101
197
0
26 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
102
3,710
0
21 May 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
174
8,867
0
21 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
72
3,005
0
19 Oct 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
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
38
515
0
28 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
Mannudeep K. Kalra
Ge Wang
GAN
MedIm
51
1,193
0
03 Aug 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
34
347
0
29 Mar 2017
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for
  Low-Dose 3D CT Image Reconstruction
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
Xuehang Zheng
S. Ravishankar
Y. Long
Jeffrey A. Fessler
23
83
0
27 Mar 2017
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT
  Reconstruction
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction
Jawook Gu
J. C. Ye
31
54
0
04 Mar 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
83
1,299
0
01 Feb 2017
A deep convolutional neural network using directional wavelets for
  low-dose X-ray CT reconstruction
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
Eunhee Kang
Junhong Min
J. C. Ye
OOD
MedIm
41
763
0
31 Oct 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
493
149,474
0
22 Dec 2014
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