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  4. Cited By
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)

1 February 2017
Hu Chen
Yi Zhang
M. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
    MedIm
ArXivPDFHTML

Papers citing "Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)"

29 / 79 papers shown
Title
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple
  Scanning Geometries and Dose Levels
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
Wenjun Xia
Zexin Lu
Yongqiang Huang
Yan Liu
Hu Chen
Jiliu Zhou
Yi Zhang
21
9
0
27 Oct 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of
  Generative Model
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Zhuonan He
Yikun Zhang
Yu Guan
S. Niu
Yi Zhang
Yang Chen
Qiegen Liu
DiffM
MedIm
33
12
0
27 Sep 2020
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
A. Hariri
Kamran Alipour
Yash Mantri
J. Schulze
J. Jokerst
30
64
0
19 Apr 2020
Learning Invariant Representation for Unsupervised Image Restoration
Learning Invariant Representation for Unsupervised Image Restoration
Wenchao Du
Hu Chen
Hongyu Yang
OOD
24
86
0
28 Mar 2020
Geometric Approaches to Increase the Expressivity of Deep Neural
  Networks for MR Reconstruction
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
Eunju Cha
Gyutaek Oh
J. C. Ye
27
11
0
17 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned
  Reconstruction Methods
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
29
186
0
10 Mar 2020
Advancing machine learning for MR image reconstruction with an open
  competition: Overview of the 2019 fastMRI challenge
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
...
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
29
209
0
06 Jan 2020
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT
  from Few-view Data
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data
Huidong Xie
Hongming Shan
Ge Wang
MedIm
19
29
0
13 Nov 2019
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and
  Reconstruction
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction
H. Aggarwal
M. Jacob
17
5
0
06 Nov 2019
A Review on Deep Learning in Medical Image Reconstruction
A Review on Deep Learning in Medical Image Reconstruction
Hai-Miao Zhang
Bin Dong
MedIm
35
122
0
23 Jun 2019
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical
  Imaging
A Feature Transfer Enabled Multi-Task Deep Learning Model on Medical Imaging
F. Gao
H. Yoon
Teresa Wu
Xianghua Chu
22
84
0
05 Jun 2019
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
Low-Dose CT via Deep CNN with Skip Connection and Network in Network
Chenyu You
Linfeng Yang
Yi Zhang
Ge Wang
MedIm
22
54
0
26 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
38
22
0
22 Nov 2018
Injecting and removing malignant features in mammography with CycleGAN:
  Investigation of an automated adversarial attack using neural networks
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks
Anton S. Becker
Lukás Jendele
Ondrej Skopek
N. Berger
Soleen Ghafoor
M. Marcon
E. Konukoglu
MedIm
10
4
0
19 Nov 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD
3DV
36
322
0
08 Nov 2018
Visual Attention Network for Low Dose CT
Visual Attention Network for Low Dose CT
Wenchao Du
Hu Chen
Peixi Liao
Hongyu Yang
Ge Wang
Yi Zhang
GAN
MedIm
33
33
0
31 Oct 2018
Unsupervised Deep Features for Remote Sensing Image Matching via
  Discriminator Network
Unsupervised Deep Features for Remote Sensing Image Matching via Discriminator Network
Fnu Mohbat
Numan Khurshid
M. Taj
26
15
0
15 Oct 2018
Denoising of 3-D Magnetic Resonance Images Using a Residual
  Encoder-Decoder Wasserstein Generative Adversarial Network
Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
Maosong Ran
Jinrong Hu
Yang Chen
Hu Chen
Huaiqiang Sun
Jiliu Zhou
Yi Zhang
MedIm
30
92
0
12 Aug 2018
Deep Back Projection for Sparse-View CT Reconstruction
Deep Back Projection for Sparse-View CT Reconstruction
Dong Hye Ye
G. Buzzard
M. Ruby
Charles A. Bouman
MedIm
27
30
0
06 Jul 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
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
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer
  Learning from a 2D Trained Network
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Hongming Shan
Yi Zhang
Qingsong Yang
Uwe Krüger
M. Kalra
Ling Sun
W. Cong
Ge Wang
MedIm
24
349
0
15 Feb 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
81
999
0
07 Dec 2017
Intelligent Parameter Tuning in Optimization-based Iterative CT
  Reconstruction via Deep Reinforcement Learning
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning
Chenyang Shen
Y. Gonzalez
Liyuan Chen
Steve B. Jiang
X. Jia
38
89
0
01 Nov 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
35
361
0
06 Sep 2017
Sharpness-aware Low dose CT denoising using conditional generative
  adversarial network
Sharpness-aware Low dose CT denoising using conditional generative adversarial network
Xin Yi
P. Babyn
GAN
MedIm
28
261
0
22 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
M. Kalra
Ge Wang
GAN
MedIm
32
1,188
0
03 Aug 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
19
747
0
20 Jul 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image
  Denoising
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising
Dufan Wu
Kyungsang Kim
G. El Fakhri
Quanzheng Li
MedIm
OOD
28
65
0
11 May 2017
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