Umberto Morbiducci

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

Fabrizio D’Ascenzo, Ovidio De Filippo, Guglielmo Gallone et al. · The Lancet · 2021 · 324 citations

Adverse Events, Health Informatics, Machine Learning +14

Inflow boundary conditions for image-based computational hemodynamics: Impact of idealized versus measured velocity profiles in the human aorta

Umberto Morbiducci, Raffaele Ponzini, Diego Gallo et al. · Journal of Biomechanics · 2012 · 242 citations

Engineering, Human Aorta, Inflow Boundary Conditions +17

Platelet Activation Due to Hemodynamic Shear Stresses: Damage Accumulation Model and Comparison to In Vitro Measurements

Matteo Nobili, Jawaad Sheriff, Umberto Morbiducci et al. · ASAIO Journal · 2008 · 225 citations · Full text

Heart Failure, Robust Numerical Methodology, Engineering +24

In Vivo Quantification of Helical Blood Flow in Human Aorta by Time-Resolved Three-Dimensional Cine Phase Contrast Magnetic Resonance Imaging

Umberto Morbiducci, Raffaele Ponzini, Giovanna Rizzo et al. · Annals of Biomedical Engineering · 2008 · 223 citations

Engineering, Health Sciences, Medical Imaging +12

Mechanistic insight into the physiological relevance of helical blood flow in the human aorta: an in vivo study

Umberto Morbiducci, Raffaele Ponzini, Giovanna Rizzo et al. · Biomechanics and Modeling in Mechanobiology · 2010 · 221 citations

Mechanobiology, Engineering, Human Aorta +15