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Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects

artículo científico publicado en 2020

Epicardial adipose tissue density and volume are related to subclinical atherosclerosis, inflammation and major adverse cardiac events in asymptomatic subjects

artículo científico publicado en 2017

Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study

artículo científico publicado en 2019

Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study

artículo científico publicado en 2018

Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study

artículo científico publicado en 2019

Non-invasive fractional flow reserve in vessels without severe obstructive stenosis is associated with coronary plaque burden

artículo científico publicado en 2018

Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease

scientific article published on 01 September 2018

Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography

scientific article published on 01 June 2019

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