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Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2020-06, Vol.378 (2173), p.20190347

2020

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Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization

Heart rhythm, 2020-05, Vol.17 (5), p.752-758

2020

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Abstract 17421: Vector Flow Mapping Quantification of Left Ventricular Energy Loss Occurring in Normal Subjects

Circulation (New York, N.Y.), 2016-11, Vol.134 (Suppl_1 Suppl 1), p.A17421-A17421

2016

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Personalization of Biomechanical Models for Early Detection of Disease in Arrhythmogenic Cardiomyopathy

2018 Computing in Cardiology Conference (CinC), 2018, Vol.45, p.1-4

2018

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A Lumped Two-Compartment Model for Simulation of Ventricular Pump and Tissue Mechanics in Ischemic Heart Disease

Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling

Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients

What Do We Gain From Septal Strain?

Electromechanical substrate characterization in arrhythmogenic cardiomyopathy using imaging-based patient-specific computer simulations

Virtual pacing of a patient's digital twin to predict left ventricular reverse remodelling after cardiac resynchronization therapy

Parameter subset reduction for patient-specific modelling of arrhythmogenic cardiomyopathy-related mutation carriers in the CircAdapt model

Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization

Abstract 17421: Vector Flow Mapping Quantification of Left Ventricular Energy Loss Occurring in Normal Subjects

Personalization of Biomechanical Models for Early Detection of Disease in Arrhythmogenic Cardiomyopathy

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