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Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging

  • Published:2020-08-05 Issue:15 Volume:65 Page:155010
  • ISSN:1361-6560
  • Container-title:Physics in Medicine & Biology
  • language:
  • Short-container-title:Phys. Med. Biol.

Author:

Zhang QiyangORCID,Hu ZhanliORCID,Jiang Changhui,Zheng Hairong,Ge Yongshuai,Liang Dong

Funder

Basic Research Program of Shenzhen in China

National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Generalized Learning Model for PET Image Reconstruction;IEEE Transactions on Medical Imaging;2024-01

2. Iterative Residual Optimization Network for Limited-Angle Tomographic Reconstruction;IEEE Transactions on Image Processing;2024

3. Multi-domain Integrative Structure-enhanced and Sparse-coding Network for Sparse View CT Reconstruction;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28

4. A deep-learning based algorithm for image reconstruction in Compton tomography;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16

5. A cascade-based dual-domain data correction network for sparse view CT image reconstruction;Computers in Biology and Medicine;2023-10
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