Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease-Reference-Cited by-同舟云学术

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Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease

Published:2024-06 Issue: Volume:220 Page:56-66
ISSN:0002-9149
Container-title:The American Journal of Cardiology
language:en
Short-container-title:The American Journal of Cardiology

Author:

Khagi Bijen,Belousova Tatiana,Short Christina M.,Taylor Addison A.,Bismuth Jean,Shah Dipan J.,Brunner Gerd^ORCID

Funder

American Heart Association Inc

National Institutes of Health

National Heart Lung and Blood Institute

Publisher

Elsevier BV

Reference29 articles.

1. Arterial diseases of the extremities;Creager,2018

2. Measurement of skeletal muscle perfusion during postischemic reactive hyperemia using contrast-enhanced MRI with a step-input function;Thompson;Magn Reson Med,2005

3. Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease;Brunner;Med Biol Eng Comput,2016

4. Magnetic resonance imaging-derived microvascular perfusion modeling to assess peripheral artery disease;Gimnich;J Am Heart Assoc,2023

5. State-of-the-art deep learning in cardiovascular image analysis;Litjens;JACC Cardiovasc Imaging,2019

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