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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

25 November 2021
Muge Du
Kaichao Liang
Yinong Liu
Yuxiang Xing
    OOD
ArXivPDFHTML

Papers citing "Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods"

5 / 5 papers shown
Title
Combining multimodal information for Metal Artefact Reduction: An
  unsupervised deep learning framework
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework
M. Ranzini
Irme Groothuis
Kerstin Kläser
M. Jorge Cardoso
J. Henckel
Sébastien Ourselin
A. Hart
Marc Modat
MedIm
25
10
0
20 Apr 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
47
149
0
03 Aug 2019
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction
  with Joint Projection-Sinogram Correction
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
Haofu Liao
Wei-An Lin
Z. Huo
L. Vogelsang
W. Sehnert
S. Kevin Zhou
Jiebo Luo
MedIm
34
48
0
29 Jun 2019
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
Wei-An Lin
Haofu Liao
Cheng-Fang Peng
Xiaohang Sun
Jingdan Zhang
Jiebo Luo
Rama Chellappa
S. Kevin Zhou
MedIm
40
196
0
29 Jun 2019
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
311
4,569
0
13 Nov 2016
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