Julián Betancur

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT

Julián Betancur, Frédéric Commandeur, M Esmaeili Motlagh et al. · JACC. Cardiovascular imaging · 2018 · 338 citations

Engineering, Machine Learning, Cardiovascular Disease +8

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning

Julián Betancur, Yuka Otaki, Manish Motwani et al. · JACC. Cardiovascular imaging · 2017 · 228 citations

Heart Failure, Engineering, Machine Learning +13

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Catalina Tobon‐Gomez, Arjan J. Geers, Jürgen Weese et al. · IEEE Transactions on Medical Imaging · 2015 · 201 citations · Full text

Computed Tomography, Image Reconstruction, Engineering +22

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT

Frédéric Commandeur, Markus Goeller, Julián Betancur et al. · IEEE Transactions on Medical Imaging · 2018 · 193 citations · Full text

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

Damini Dey, Sara Gaur, Piotr J. Slomka et al. · European Radiology · 2018 · 165 citations · Full text