Two-stage deep learning network-based few-view image reconstruction for parallel-beam projection tomography-Reference-Cited by-同舟云学术

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Two-stage deep learning network-based few-view image reconstruction for parallel-beam projection tomography

Published:2022-04 Issue:4 Volume:12 Page:2535-2551
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Wang Huiyuan,Wang Nan,Xie Hui,Wang Lin,Zhou Wangting,Yang Defu,Cao Xu,Zhu Shouping,Liang Jimin,Chen Xueli

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/88257/pdf

Cited by 4 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. φ-net-based few-views reconstruction for sparse optical projection tomography;Biomedical Signal Processing and Control;2024-12

2. CT image denoising methods for image quality improvement and radiation dose reduction;Journal of Applied Clinical Medical Physics;2024-01-19

3. 贝塞尔光束在生物医学显微成像技术中的应用（特邀）;ACTA PHOTONICA SINICA;2022

4. 快速三维荧光显微成像技术的研究进展（特邀）;Infrared and Laser Engineering;2022

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