A physics and learning-based transmission-less attenuation compensation method for SPECT-Reference-Cited by-同舟云学术

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A physics and learning-based transmission-less attenuation compensation method for SPECT

Published:2021-02-15 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2021: Physics of Medical Imaging
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Author:

Yu Zitong,Rahman Md Ashequr,Schindler Thomas,Laforest Richard,Jha Abhinav K.

Publisher

SPIE

Cited by 10 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. DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-04

2. Need for objective task‐based evaluation of deep learning‐based denoising methods: A study in the context of myocardial perfusion SPECT;Medical Physics;2023-04-20

3. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem;Journal of Nuclear Medicine;2022-12-15

4. Deep-learning-based methods of attenuation correction for SPECT and PET;Journal of Nuclear Cardiology;2022-06-09

5. Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines);Journal of Nuclear Medicine;2022-05-26

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