Chris Schwemmer

A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

Lucian Itu, Saikiran Rapaka, Tiziano Passerini et al. · Journal of Applied Physiology · 2016 · 399 citations · Full text

Medicine, Bioengineering, Cardiology +17

Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

Adriaan Coenen, Young‐Hak Kim, Mariusz Kruk et al. · Circulation Cardiovascular Imaging · 2018 · 392 citations · Full text

Medicine, Cardiology, Radiology +17

Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling

Christian Tesche, Carlo N. De Cecco, Stefan Baumann et al. · Radiology · 2018 · 236 citations

Medicine, Cardiology, Radiology +17

CONRAD—A software framework for cone‐beam imaging in radiology

Andreas Maier, Hannes Hofmann, Martin Berger et al. · Medical Physics · 2013 · 121 citations · Full text

Engineering, Biomedical Engineering, Radiology +17

Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset

David Winkel, Venkata Suryanarayana, Ajmol Ali et al. · European Heart Journal - Cardiovascular Imaging · 2021 · 53 citations

Computing, Cardiology, Computer Science +16