Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer-Reference-Cited by-同舟云学术

Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer

Published:2023-01 Issue:1 Volume:7 Page:33-40
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Xie Huidong¹^ORCID,Thorn Stephanie²^ORCID,Liu Yi-Hwa²^ORCID,Lee Supum²^ORCID,Liu Zhao³,Wang Ge⁴^ORCID,Sinusas Albert J.⁵,Liu Chi⁶^ORCID

Affiliation:

1. Department of Biomedical Engineering, Yale University, New Haven, CT, USA

2. Department of Internal Medicine (Cardiology), Yale University, New Haven, CT, USA

3. Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

4. Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

5. Department of Biomedical Engineering, the Department of Internal Medicine (Cardiology), and the Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

6. Department of Biomedical Engineering and the Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

Funder

NIH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/7433213/10003060/09810993.pdf?arnumber=9810993

Reference23 articles.

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4. Densely connected convolutional networks;huang;arXiv 1608 06993,2018

5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer Assisted Intervention,2015

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