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. 2104.01405
  4. Cited By
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

3 April 2021
Tao Wang
Wenjun Xia
Zexin Lu
Huaiqiang Sun
Yan Liu
Hu Chen
Jiliu Zhou
Yi Zhang
    OOD
ArXivPDFHTML

Papers citing "IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction"

4 / 4 papers shown
Title
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for
  Metal Artifact Reduction
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
Xinrui Zhang
Ailong Cai
Shaoyu Wang
Linyuan Wang
Zhizhong Zheng
Lei Li
Bin Yan
MedIm
29
0
0
14 Aug 2024
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
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
Metal Artifact Reduction in 2D CT Images with Self-supervised
  Cross-domain Learning
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
Lequan Yu
Zhicheng Zhang
Xiaomeng Li
Hongyi Ren
Wei Zhao
Lei Xing
MedIm
41
28
0
28 Sep 2021
1