ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.00961
  4. Cited By
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
ArXivPDFHTML

Papers citing "Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss"

50 / 235 papers shown
Title
Generative Models Improve Radiomics Performance in Different Tasks and
  Different Datasets: An Experimental Study
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
Junhua Chen
Inigo Bermejo
Andre Dekker
L. Wee
DiffM
MedIm
AI4CE
17
8
0
06 Sep 2021
The Application of Convolutional Neural Networks for Tomographic
  Reconstruction of Hyperspectral Images
The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images
Wei-Chih Huang
M. Peters
M. J. Ahlebaek
Mads T. Frandsen
R. Eriksen
B. Jørgensen
14
14
0
30 Aug 2021
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based
  Discriminators for Low-Dose CT Denoising
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang
Junping Zhang
Yi Zhang
Hongming Shan
MedIm
18
147
0
24 Aug 2021
An Adversarial Learning Based Approach for Unknown View Tomographic
  Reconstruction
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction
Mona Zehni
Zhizhen Zhao
GAN
14
0
0
23 Aug 2021
MRI to PET Cross-Modality Translation using Globally and Locally Aware
  GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease
Apoorva Sikka
Skand
Jitender Singh Virk
Deepti R. Bathula
MedIm
11
32
0
04 Aug 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uddeshya Upadhyay
Yanbei Chen
Tobias Hepp
S. Gatidis
Zeynep Akata
MedIm
12
25
0
29 Jun 2021
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder
  Dilation network for Low-dose CT Denoising
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
Dayang Wang
Zhan Wu
Hengyong Yu
ViT
MedIm
11
53
0
08 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical
  image segmentation
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
Rabindra Khadka
Debesh Jha
Steven Hicks
Vajira Thambawita
Michael A. Riegler
Sharib Ali
P. Halvorsen
22
46
0
06 Jun 2021
Window-Level is a Strong Denoising Surrogate
Window-Level is a Strong Denoising Surrogate
Ayaan Haque
Adam S. Wang
A. Imran
11
4
0
15 May 2021
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for
  Low-dose CT Denoising
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising
Kecheng Chen
Jiayu Sun
Jiang Shen
Jixiang Luo
Xinyu Zhang
...
Dongsheng Wu
Yue Zhao
Miguel Bento
Yazhou Ren
X. Pu
18
2
0
15 May 2021
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A
  Simulation Study
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
Junhua Chen
Chong Zhang
A. Traverso
I. Zhovannik
Andre Dekker
L. Wee
Inigo Bermejo
DiffM
SyDa
MedIm
15
19
0
30 Apr 2021
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT
  Reconstruction
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
Qingchao Zhang
Mehrdad Alvandipour
Wenjun Xia
Yi Zhang
X. Ye
Yunmei Chen
11
6
0
27 Apr 2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of
  Computed Tomography Images
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images
Xiaowe Xu
Jiawei Zhang
Jinglan Liu
Yukun Ding
Tianchen Wang
...
Wen Xie
Yuhao Dong
Qianjun Jia
Meiping Huang
Yiyu Shi
MedIm
11
0
0
25 Apr 2021
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising
  and Lesion Detection
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
Kecheng Chen
Kun Long
Yazhou Ren
Jiayu Sun
X. Pu
MedIm
17
20
0
18 Apr 2021
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose
  CT Denoising
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising
Taesung Kwon
Jong Chul Ye
MedIm
6
29
0
17 Apr 2021
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution
  ConvNets
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets
Chao Chen
Catalina Raymond
Bill Speier
Xinyu Jin
T. Cloughesy
D. Enzmann
B. Ellingson
C. Arnold
MedIm
11
37
0
04 Apr 2021
Low Dose Helical CBCT denoising by using domain filtering with deep
  reinforcement learning
Low Dose Helical CBCT denoising by using domain filtering with deep reinforcement learning
W. Kang
Mayank Patwari
8
0
0
02 Apr 2021
High-Fidelity and Arbitrary Face Editing
High-Fidelity and Arbitrary Face Editing
Yue Gao
Fangyun Wei
Jianmin Bao
Shuyang Gu
Dong Chen
Fang Wen
Z. Lian
CVBM
11
65
0
29 Mar 2021
Equivariant Imaging: Learning Beyond the Range Space
Equivariant Imaging: Learning Beyond the Range Space
Dongdong Chen
Julián Tachella
Mike E. Davies
SSL
26
93
0
26 Mar 2021
Model-based Reconstruction with Learning: From Unsupervised to
  Supervised and Beyond
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
Zhishen Huang
Siqi Ye
Michael T. McCann
S. Ravishankar
MedIm
15
10
0
26 Mar 2021
Task-Oriented Low-Dose CT Image Denoising
Task-Oriented Low-Dose CT Image Denoising
Jiajin Zhang
Hanqing Chao
Xuanang Xu
Chuang Niu
Ge Wang
Pingkun Yan
OOD
MedIm
18
18
0
25 Mar 2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for
  Low-Dose CT Denoising
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Zexin Lu
Wenjun Xia
Yongqiang Huang
Hongming Shan
Hu Chen
Jiliu Zhou
Yan Zhang
MedIm
15
23
0
24 Mar 2021
An unsupervised deep learning framework for medical image denoising
An unsupervised deep learning framework for medical image denoising
Swati Rai
Jignesh S. Bhatt
S. K. Patra
MedIm
22
16
0
11 Mar 2021
Improving Generalizability in Limited-Angle CT Reconstruction with
  Sinogram Extrapolation
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Ce Wang
Haimiao Zhang
Qian Li
Kun Shang
Y. Lyu
Bin Dong
S. Kevin Zhou
17
12
0
09 Mar 2021
UVTomo-GAN: An adversarial learning based approach for unknown view
  X-ray tomographic reconstruction
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
Mona Zehni
Zhizhen Zhao
GAN
8
4
0
09 Feb 2021
Deep High-Resolution Network for Low Dose X-ray CT Denoising
Deep High-Resolution Network for Low Dose X-ray CT Denoising
T. Bai
D. Nguyen
Biling Wang
Steve B. Jiang
OOD
23
3
0
01 Feb 2021
Comparative Evaluation of 3D and 2D Deep Learning Techniques for
  Semantic Segmentation in CT Scans
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
Abhishek Shivdeo
R. Lokwani
V. Kulkarni
A. Kharat
Aniruddha Pant
17
12
0
19 Jan 2021
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen
Yun Yvonna Li
Lina Yao
Ehsan Adeli
Yu Zhang
GAN
OOD
MedIm
38
17
0
12 Jan 2021
Contextual colorization and denoising for low-light ultra high
  resolution sequences
Contextual colorization and denoising for low-light ultra high resolution sequences
Nantheera Anantrasirichai
David Bull
DiffM
18
17
0
05 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
27
2
0
04 Jan 2021
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction
  Through Deep Learning
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
Peyman Tahghighi
R. Zoroofi
S. Safi
Alireza Ramezani
MedIm
GAN
14
0
0
28 Dec 2020
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali
Masoumeh Zareapoor
Eric Granger
Huiyu Zhou
Ruili Wang
M. E. Celebi
Jie Yang
EGVM
39
138
0
26 Dec 2020
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed
  Sensing CT
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT
Yi Zhang
Hu Chen
Wenjun Xia
Yang Chen
Baodong Liu
Yan Liu
Huaiqiang Sun
Jiliu Zhou
10
40
0
13 Dec 2020
Manipulating Medical Image Translation with Manifold Disentanglement
Manipulating Medical Image Translation with Manifold Disentanglement
Siyu Liu
Jason Dowling
C. Engstrom
P. Greer
Stuart Crozier
Shekhar S. Chandra
MedIm
20
8
0
27 Nov 2020
Image Denoising for Strong Gaussian Noises With Specialized CNNs for
  Different Frequency Components
Image Denoising for Strong Gaussian Noises With Specialized CNNs for Different Frequency Components
Seyedroohollah Hosseini
17
0
0
26 Nov 2020
Noise Conscious Training of Non Local Neural Network powered by Self
  Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising
Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising
Sutanu Bera
P. Biswas
MedIm
OOD
17
62
0
11 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness
  Included?
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
19
101
0
09 Nov 2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound
  Loss for Low-Dose CT Denoising
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
Tengfei Liang
Yi Jin
Yidong Li
Tao Wang
Songhe Feng
Congyan Lang
6
94
0
30 Oct 2020
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
11
8
0
27 Oct 2020
Self-Supervised Training For Low Dose CT Reconstruction
Self-Supervised Training For Low Dose CT Reconstruction
Mehmet Ozan Unal
M. Ertas
I. Yildirim
OOD
6
12
0
25 Oct 2020
Training Generative Adversarial Networks via stochastic Nash games
Training Generative Adversarial Networks via stochastic Nash games
Barbara Franci
Sergio Grammatico
GAN
13
16
0
17 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
25
12
0
27 Sep 2020
Improved Trainable Calibration Method for Neural Networks on Medical
  Imaging Classification
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
G. Liang
Yu Zhang
Xiaoqin Wang
Nathan Jacobs
UQCV
20
59
0
09 Sep 2020
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework
  with Residual Dense Spatial-Channel Attention Network and Sinogram
  Consistency
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
Bo Zhou
S. Kevin Zhou
James S. Duncan
Chi Liu
14
8
0
03 Sep 2020
Heightmap Reconstruction of Macula on Color Fundus Images Using
  Conditional Generative Adversarial Networks
Heightmap Reconstruction of Macula on Color Fundus Images Using Conditional Generative Adversarial Networks
Peyman Tahghighi
R. Zoroofi
Sareh Saffi
Alireza Ramezani
GAN
MedIm
6
1
0
03 Sep 2020
Data and Image Prior Integration for Image Reconstruction Using
  Consensus Equilibrium
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
Student Member Ieee Muhammad Usman Ghani
F. I. W. Clem Karl
11
16
0
31 Aug 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative
  Adversarial Network
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
Shuqiang Wang
Zhuo Chen
Wen Yu
Baiying Lei
GAN
MedIm
7
61
0
30 Aug 2020
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT
  Denoising
AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
Jawook Gu
J. C. Ye
MedIm
6
7
0
13 Aug 2020
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse
  Problems
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems
Masaki Ikuta
Jun Zhang
GAN
6
3
0
11 Aug 2020
Stabilizing Deep Tomographic Reconstruction
Stabilizing Deep Tomographic Reconstruction
Weiwen Wu
Dianlin Hu
W. Cong
Hongming Shan
Shaoyu Wang
Chuang Niu
Pingkun Yan
Hengyong Yu
V. Vardhanabhuti
Ge Wang
OOD
12
10
0
04 Aug 2020
Previous
12345
Next