Integration of Cine-cardiac Magnetic Resonance Radiomics and Machine Learning for Differentiating Ischemic and Dilated Cardiomyopathy-Reference-Cited by-同舟云学术

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Integration of Cine-cardiac Magnetic Resonance Radiomics and Machine Learning for Differentiating Ischemic and Dilated Cardiomyopathy

Published:2024-07 Issue:7 Volume:31 Page:2704-2714
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Deng Jia,Zhou Langtao,Li Yueyan,Yu Ying,Zhang Jingjing,Liao Bihong,Luo Guanghua,Tian Jinwei,Zhou Hong^ORCID,Tang Huifang

Publisher

Elsevier BV

Reference30 articles.

1. Role of cardiac magnetic resonance in the diagnosis and prognosis of nonischemic cardiomyopathy;Patel;JACC Cardiovasc Imaging,2017

2. Multiparametric CMR in cardiomyopathies: beyond diagnosis and toward prognosis;Kramer;JACC Cardiovasc Imaging,2019

3. Myocardial fibrosis assessment by LGE is a powerful predictor of ventricular tachyarrhythmias in ischemic and nonischemic LV dysfunction: a meta-analysis;Disertori;JACC Cardiovasc Imaging,2016

4. CMR for myocardial characterization in ischemic heart disease: state-of-the-art and future developments;Emrich;Eur Radiol Exp,2021

5. Differentiation of heart failure related to dilated cardiomyopathy and coronary artery disease using gadolinium-enhanced cardiovascular magnetic resonance;Mccrohon;Circulation,2003

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