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JACC. Cardiovascular Imaging|March 7, 2023
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk PredictionHenry W West, Muhammad Siddique, Michelle C Williams, et al.
Science Translational Medicine|July 14, 2017
Detecting human coronary inflammation by imaging perivascular fatAlexios S Antonopoulos, Fabio Sanna, Nikant Sabharwal, et al.
European Heart Journal. Quality of Care & Clinical Outcomes|September 28, 2024
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography AngiographyApostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, et al.
International Journal of Cardiology|November 14, 2021
A Randomized, double-blind, dose ranging clinical trial of intravenous FDY-5301 in acute STEMI patients undergoing primary PCIDavid Adlam, Maciej Zarebinski, Neal G Uren, et al.
Journal of the American College of Cardiology|April 8, 2026
Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial FatEvangelos K Oikonomou, Kenneth Chan, Parijat Patel, et al.
European Heart Journal|September 11, 2019
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiographyEvangelos K Oikonomou, Michelle C Williams, Christos P Kotanidis, et al.
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