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. 1907.00273
  4. Cited By
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

29 June 2019
Wei-An Lin
Haofu Liao
Cheng-Fang Peng
Xiaohang Sun
Jingdan Zhang
Jiebo Luo
Rama Chellappa
S. Kevin Zhou
    MedIm
ArXivPDFHTML

Papers citing "DuDoNet: Dual Domain Network for CT Metal Artifact Reduction"

18 / 18 papers shown
Title
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
Yiqun Lin
Hualiang Wang
Jixiang Chen
Jiewen Yang
Jiarong Guo
Xiaomeng Li
142
0
0
05 May 2025
Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
Baoshun Shi
Bing Chen
Shaolei Zhang
Huazhu Fu
Zhanli Hu
MedIm
35
0
0
28 Apr 2025
TD-Net: A Tri-domain network for sparse-view CT reconstruction
TD-Net: A Tri-domain network for sparse-view CT reconstruction
Xinyuan Wang
Changqing Su
Bo Xiong
MedIm
19
0
0
26 Nov 2023
Stretched sinograms for limited-angle tomographic reconstruction with
  neural networks
Stretched sinograms for limited-angle tomographic reconstruction with neural networks
Kyle L. Luther
Sebastian Seung
16
0
0
16 Jun 2023
Nonlinear ill-posed problem in low-dose dental cone-beam computed
  tomography
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography
Hyoung Suk Park
Chang Min Hyun
J.K. Seo
13
1
0
03 Mar 2023
Orientation-Shared Convolution Representation for CT Metal Artifact
  Learning
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
Hong Wang
Qi Xie
Yuexiang Li
Yawen Huang
Deyu Meng
Yefeng Zheng
OOD
MedIm
13
8
0
26 Dec 2022
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact
  Reduction
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction
Baoshun Shi
Ke Jiang
Shaolei Zhang
Qiusheng Lian
Yanwei Qin
MedIm
24
0
0
14 Nov 2022
WNet: A data-driven dual-domain denoising model for sparse-view computed
  tomography with a trainable reconstruction layer
WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer
Theodor Cheslerean-Boghiu
Felix C. Hofmann
M. Schultheiss
F. Pfeiffer
Daniela Pfeiffer
Tobias Lasser
MedIm
OOD
25
24
0
01 Jul 2022
A Lightweight Dual-Domain Attention Framework for Sparse-View CT
  Reconstruction
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction
Chang Sun
Ken Deng
Yitong Liu
Hongwen Yang
MedIm
21
8
0
19 Feb 2022
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact
  Reduction in CT Images
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
Hong Wang
Yuexiang Li
Haimiao Zhang
Deyu Meng
Yefeng Zheng
MedIm
16
32
0
23 Dec 2021
Investigation of domain gap problem in several deep-learning-based CT
  metal artefact reduction methods
Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods
Muge Du
Kaichao Liang
Yinong Liu
Yuxiang Xing
OOD
9
5
0
25 Nov 2021
NeRP: Implicit Neural Representation Learning with Prior Embedding for
  Sparsely Sampled Image Reconstruction
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen
John M. Pauly
Lei Xing
35
186
0
24 Aug 2021
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal
  Artifact Reduction
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
Tao Wang
Wenjun Xia
Zexin Lu
Huaiqiang Sun
Yan Liu
Hu Chen
Jiliu Zhou
Yi Zhang
OOD
41
26
0
03 Apr 2021
A review of deep learning in medical imaging: Imaging traits, technology
  trends, case studies with progress highlights, and future promises
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
55
624
0
02 Aug 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI
  Reconstruction with Deep T1 Prior
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou
S. Kevin Zhou
34
153
0
11 Jan 2020
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact
  Reduction
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Haofu Liao
Wei-An Lin
S. Kevin Zhou
Jiebo Luo
MedIm
OOD
33
148
0
03 Aug 2019
Face Completion with Semantic Knowledge and Collaborative Adversarial
  Learning
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
Haofu Liao
G. Funka-Lea
Yefeng Zheng
Jiebo Luo
S. Kevin Zhou
GAN
CVBM
30
25
0
08 Dec 2018
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for
  Compression Artifacts Removal
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal
Xiaoshuai Zhang
Wenhan Yang
Yueyu Hu
Jiaying Liu
46
122
0
08 Jun 2018
1