Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data-Reference-Cited by-同舟云学术

Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data

Published:2023-03 Issue:3 Volume:7 Page:284-295
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Zhou Bo¹^ORCID,Miao Tianshun²^ORCID,Mirian Niloufar²,Chen Xiongchao¹^ORCID,Xie Huidong¹^ORCID,Feng Zhicheng³,Guo Xueqi¹^ORCID,Li Xiaoxiao⁴^ORCID,Zhou S. Kevin⁵^ORCID,Duncan James S.⁶^ORCID,Liu Chi⁶^ORCID

Affiliation:

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

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

3. Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA

4. Electrical and Computer Engineering Department, University of British Columbia, Vancouver, Canada

5. School of Biomedical Engineering and Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China

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

Funder

National Institutes of Health

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/ielx7/7433213/10058049/09843905.pdf?arnumber=9843905

Reference67 articles.

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3. Artificial Intelligence-Based Image Enhancement in PET Imaging

4. Limited view tomographic reconstruction using a deep recurrent framework with residual dense spatial-channel attention network and sinogram consistency;zhou;arXiv 2009 01782,2020

5. Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction

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