Maximilian J. Bauer

Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia

Philipp L. von Knebel Doeberitz, Carlo N. De Cecco, U. Joseph Schoepf et al. · European Radiology · 2018 · 94 citations · Full text

Engineering, Vascular Image, Medical Imaging +14

Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease

Marly van Assen, Carlo N. De Cecco, Marwen Eid et al. · Journal of cardiovascular computed tomography · 2019 · 64 citations · Full text

Medical Imaging, Cardiovascular Disease, Myocardial Infarction +10

Myocardial extracellular volume fraction to differentiate healthy from cardiomyopathic myocardium using dual-source dual-energy CT

Andres F. Abadia, Marly van Assen, Simon S. Martin et al. · Journal of cardiovascular computed tomography · 2019 · 52 citations · Full text

Cardiac Muscle, Cardiomyopathy, Heart Failure +14

Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography

Andreas Fischer, Marwen Eid, Carlo N. De Cecco et al. · Journal of Thoracic Imaging · 2020 · 52 citations · Full text

Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome

Philipp L. von Knebel Doeberitz, Carlo N. De Cecco, U. Joseph Schoepf et al. · The American Journal of Cardiology · 2019 · 41 citations · Full text

Adverse Cardiac Outcome, Heart Failure, Vascular Image +12