Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index-Reference-Cited by-同舟云学术

Deep Learning-based Post Hoc CT Denoising for the Coronary Perivascular Fat Attenuation Index

Published:2023-11 Issue:11 Volume:30 Page:2505-2513
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Nishii Tatsuya^ORCID,Kobayashi Takuma,Saito Tatsuya,Kotoku Akiyuki,Ohta Yasutoshi,Kitahara Satoshi,Umehara Kensuke,Ota Junko,Horinouchi Hiroki,Morita Yoshiaki,Noguchi Teruo,Ishida Takayuki,Fukuda Tetsuya

Funder

National Cerebral and Cardiovascular Center

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference39 articles.

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3. Pericoronary adipose tissue computed tomography attenuation distinguishes different stages of coronary artery disease: a cross-sectional study;Lin;Eur Heart J Cardiovasc Imaging,2021

4. Perivascular epicardial fat stranding at coronary CT angiography: a marker of acute plaque rupture and spontaneous coronary artery dissection;Hedgire;Radiology,2018

5. Pericoronary adipose tissue computed tomography attenuation and high-risk plaque characteristics in acute coronary syndrome compared with stable coronary artery disease;Goeller;JAMA Cardiol,2018

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2. Deep Learning-Based CT Noise Reduction for Perivascular Adipose Tissue Evaluation;Academic Radiology;2024-02

3. Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography;Academic Radiology;2023-10