Gabriel Maliakal

Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry

Subhi J. Al’Aref, Gabriel Maliakal, Gurpreet Singh et al. · European Heart Journal · 2019 · 232 citations · Full text

Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry

Alexander R. van Rosendael, Gabriel Maliakal, Kranthi K. Kolli et al. · Journal of cardiovascular computed tomography · 2018 · 164 citations · Full text

Epidemiology, Machine Learning, Cardiovascular Disease +12

Determinants of In‐Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach

Subhi J. Al’Aref, Gurpreet Singh, Alexander R. van Rosendael et al. · Journal of the American Heart Association · 2019 · 126 citations · Full text

Machine Learning, Machine Learning Tool, Machine Learning Approach +21

Identification and Quantification of Cardiovascular Structures From CCTA

Lohendran Baskaran, Gabriel Maliakal, Subhi J. Al’Aref et al. · JACC. Cardiovascular imaging · 2019 · 63 citations · Full text

Cardiac Muscle, Heart Failure, Cardiovascular Disease +7

A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA

Subhi J. Al’Aref, Gurpreet Singh, Jeong Won Choi et al. · JACC. Cardiovascular imaging · 2020 · 57 citations · Full text

Coronary Cta, Boosted Ensemble Algorithm, Medical Imaging +14