DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT-Reference-Cited by-同舟云学术

DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT

Published:2024-04 Issue:4 Volume:8 Page:439-450
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Rahman Md Ashequr¹^ORCID,Yu Zitong¹^ORCID,Laforest Richard²,Abbey Craig K.³^ORCID,Siegel Barry A.²^ORCID,Jha Abhinav K.⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering, Washington University, St. Louis, MO, USA

2. Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA

3. Department of Psychological and Brain Sciences, University of California at Santa Barbara, Santa Barbara, CA, USA

4. Department of Biomedical Engineering and the Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA

Funder

National Institute of Biomedical Imaging and Bioengineering of the National Institute of Health

NSF CAREER Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7433213/10488722/10477616-aam.pdf

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5. Coronary arteriography in the diagnosis results and prognosis analysis of suspected coronary artery disease in patients with normal SPET myocardial perfusion imaging;Yuan;Hell. J. Nucl. Med.,2015