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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

3 August 2017
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
M. Kalra
Ge Wang
    GAN
    MedIm
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Papers citing "Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss"

50 / 235 papers shown
Title
Deep Learning Methods for Solving Linear Inverse Problems: Research
  Directions and Paradigms
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
Yanna Bai
Wei-Neng Chen
Jie Chen
Weisi Guo
29
66
0
27 Jul 2020
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering
Mayank Patwari
R. Gutjahr
R. Raupach
Andreas K. Maier
13
16
0
09 Jul 2020
X-ray Photon-Counting Data Correction through Deep Learning
X-ray Photon-Counting Data Correction through Deep Learning
Mengzhou Li
D. Rundle
Ge Wang
MedIm
12
23
0
06 Jul 2020
Deep image prior for 3D magnetic particle imaging: A quantitative
  comparison of regularization techniques on Open MPI dataset
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Sören Dittmer
T. Kluth
Mads Thorstein Roar Henriksen
Peter Maass
11
18
0
03 Jul 2020
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose
  CT Denoising
Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
Sepehr Ataei
J. Alirezaie
P. Babyn
SupR
MedIm
11
20
0
26 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
28
7
0
17 Jun 2020
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling
Burhaneddin Yaman
S. A. Hosseini
Mehmet Akçakaya
6
3
0
16 Jun 2020
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual
  Learning
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
Hengtao Guo
Sheng Xu
B. Wood
Pingkun Yan
12
39
0
13 Jun 2020
Learning to Scan: A Deep Reinforcement Learning Approach for
  Personalized Scanning in CT Imaging
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging
Ziju Shen
Yufei Wang
Dufan Wu
Xu Yang
Bin Dong
OffRL
25
24
0
03 Jun 2020
Probabilistic self-learning framework for Low-dose CT Denoising
Probabilistic self-learning framework for Low-dose CT Denoising
T. Bai
D. Nguyen
Biling Wang
Steve B. Jiang
OOD
12
31
0
30 May 2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image
  Reconstruction
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
Haimiao Zhang
Baodong Liu
Hengyong Yu
Bin Dong
14
60
0
30 May 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned
  Prior Images
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images
Yixing Huang
Alexander Preuhs
M. Manhart
G. Lauritsch
Andreas K. Maier
MedIm
6
5
0
20 May 2020
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural
  Networks
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks
Dufan Wu
Hui Ren
Quanzheng Li
OOD
MedIm
9
41
0
19 May 2020
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Siqi Li
Guobao Wang
OOD
13
9
0
14 May 2020
W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
Rohit Saha
Abenezer Teklemariam
Ian S Hsu
Alan M. Moses
11
1
0
14 May 2020
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
Ying Da Wang
Traiwit Chung
R. Armstrong
P. Mostaghimi
AI4CE
20
18
0
22 Apr 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
22
64
0
19 Apr 2020
STAN-CT: Standardizing CT Image using Generative Adversarial Network
STAN-CT: Standardizing CT Image using Generative Adversarial Network
Mona Selim
Jie Zhang
B. Fei
Guo-Qiang Zhang
Jin Chen
MedIm
DiffM
12
17
0
02 Apr 2020
A game-theoretic approach for Generative Adversarial Networks
A game-theoretic approach for Generative Adversarial Networks
Barbara Franci
Sergio Grammatico
GAN
9
12
0
30 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
16
185
0
10 Mar 2020
A Deep learning Approach to Generate Contrast-Enhanced Computerised
  Tomography Angiography without the Use of Intravenous Contrast Agents
A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents
A. Chandrashekar
A. Handa
N. Shivakumar
P. Lapolla
Vicente Grau
Regent Lee
MedIm
9
11
0
02 Mar 2020
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
Jinglan Liu
Yukun Ding
Jinjun Xiong
Qianjun Jia
Meiping Huang
Jian Zhuang
Bike Xie
Chunchen Liu
Yiyu Shi
8
5
0
27 Feb 2020
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral
  Segmentation of Rock micro-CT Images
Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
Ying Da Wang
Mehdi Shabaninejad
R. Armstrong
P. Mostaghimi
3DV
9
19
0
13 Feb 2020
Using a Generative Adversarial Network for CT Normalization and its
  Impact on Radiomic Features
Using a Generative Adversarial Network for CT Normalization and its Impact on Radiomic Features
Leihao Wei
Yannan Lin
William Hsu
MedIm
GAN
6
14
0
22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Bridging the gap between AI and Healthcare sides: towards developing
  clinically relevant AI-powered diagnosis systems
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han
L. Rundo
K. Murao
T. Nemoto
Hideki Nakayama
MedIm
19
27
0
12 Jan 2020
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
Alona Baruhov
Guy Gilboa
GAN
12
5
0
11 Jan 2020
A$^3$DSegNet: Anatomy-aware artifact disentanglement and segmentation
  network for unpaired segmentation, artifact reduction, and modality
  translation
A3^33DSegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation
Y. Lyu
Haofu Liao
Heqin Zhu
S. Kevin Zhou
MedIm
6
4
0
02 Jan 2020
Neural Networks-based Regularization for Large-Scale Medical Image
  Reconstruction
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction
A. Kofler
Markus Haltmeier
T. Schaeffter
M. Kachelriess
M. Dewey
Christian Wald
C. Kolbitsch
14
1
0
19 Dec 2019
A hierarchical approach to deep learning and its application to
  tomographic reconstruction
A hierarchical approach to deep learning and its application to tomographic reconstruction
Lin Fu
B. D. Man
11
20
0
16 Dec 2019
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant
  Unrolling of Optimization Algorithms
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms
S. A. Hosseini
Burhaneddin Yaman
S. Moeller
Mingyi Hong
Mehmet Akçakaya
AI4CE
14
8
0
16 Dec 2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view
  Breast CT Image Reconstruction
Deep Efficient End-to-end Reconstruction (DEER) Network for Few-view Breast CT Image Reconstruction
Huidong Xie
Hongming Shan
W. Cong
Chi Liu
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm
6
2
0
09 Dec 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic
  Resonance Imaging
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
Bernhard Stimpel
Christopher Syben
Tobias Würfl
Katharina Breininger
P. Hoelter
Arnd Dörfler
Andreas K. Maier
MedIm
17
9
0
19 Nov 2019
Three-dimensional Generative Adversarial Nets for Unsupervised Metal
  Artifact Reduction
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction
M. Nakao
Keiho Imanishi
N. Ueda
Y. Imai
T. Kirita
T. Matsuda
MedIm
GAN
14
2
0
19 Nov 2019
Scientific Image Restoration Anywhere
Scientific Image Restoration Anywhere
V. Abeykoon
Zhengchun Liu
R. Kettimuthu
Geoffrey C. Fox
Ian T. Foster
11
19
0
12 Nov 2019
Field of View Extension in Computed Tomography Using Deep Learning Prior
Field of View Extension in Computed Tomography Using Deep Learning Prior
Yixing Huang
Lei Gao
Alexander Preuhs
Andreas K. Maier
14
13
0
04 Nov 2019
Machine learning and serving of discrete field theories -- when
  artificial intelligence meets the discrete universe
Machine learning and serving of discrete field theories -- when artificial intelligence meets the discrete universe
H. Qin
16
5
0
22 Oct 2019
Parameter-Transferred Wasserstein Generative Adversarial Network
  (PT-WGAN) for Low-Dose PET Image Denoising
Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising
Yu Gong
Hongming Shan
Yueyang Teng
Taohui Xiao
Ming Li
Guodong Liang
Ge Wang
Shanshan Wang
GAN
MedIm
9
2
0
13 Oct 2019
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT
  Reconstruction Methods
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods
Johannes Leuschner
Maximilian Schmidt
Daniel Otero Baguer
Peter Maass
14
32
0
01 Oct 2019
Deep-learning-based Breast CT for Radiation Dose Reduction
Deep-learning-based Breast CT for Radiation Dose Reduction
W. Cong
Hongming Shan
Xiaohua Zhang
Shaohua Liu
R. Ning
Ge Wang
MedIm
14
14
0
25 Sep 2019
Integrating Data and Image Domain Deep Learning for Limited Angle
  Tomography using Consensus Equilibrium
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium
Muhammad Usman Ghani
W. C. Karl
MedIm
9
13
0
31 Aug 2019
Data Consistent Artifact Reduction for Limited Angle Tomography with
  Deep Learning Prior
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Yixing Huang
Alexander Preuhs
G. Lauritsch
M. Manhart
Xiaolin Huang
Andreas K. Maier
6
38
0
19 Aug 2019
Bayesian Inference with Generative Adversarial Network Priors
Bayesian Inference with Generative Adversarial Network Priors
Dhruv V. Patel
Assad A. Oberai
GAN
AI4CE
25
17
0
22 Jul 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Qing Lyu
Hongming Shan
Ge Wang
MedIm
SupR
16
96
0
06 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
11
21
0
02 Jul 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
27
122
0
23 Jun 2019
GANPOP: Generative Adversarial Network Prediction of Optical Properties
  from Single Snapshot Wide-field Images
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
Mason T. Chen
Faisal Mahmood
Jordan A. Sweer
Nicholas J. Durr
16
32
0
12 Jun 2019
Natural Image Noise Dataset
Natural Image Noise Dataset
Benoit Brummer
Christophe De Vleeschouwer
11
39
0
01 Jun 2019
A Deep Optimization Approach for Image Deconvolution
A Deep Optimization Approach for Image Deconvolution
Zhijian Luo
Siyu Chen
Y. Qian
6
1
0
16 Apr 2019
Deep Learning Based Computed Tomography Whys and Wherefores
Deep Learning Based Computed Tomography Whys and Wherefores
S. Bazrafkan
V. V. Nieuwenhove
J. Soons
J. D. Beenhouwer
Jan Sijbers
19
8
0
08 Apr 2019
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