41 citations · 70 across the 4 of their papers we have counts for
4 papers
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology
Elena Zappon, Luca Azzolin, Matthias A. F. Gsell +12
Computational models of atrial electrophysiology (EP) are increasingly utilized for applications such as the development of advanced mapping systems, personalized clinical therapy…
pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac Electrophysiology
Robert Arnold, Anton J. Prassl, Aurel Neic +7
Background and Objective: Data from electro-anatomical mapping (EAM) systems are playing an increasingly important role in computational modeling studies for the patient-specific c…
Towards a Computational Framework for Modeling the Impact of Aortic Coarctations upon Left Ventricular Load
Elias Karabelas, Matthias A. F. Gsell, Christoph M. Augustin +6
Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing the mechanistic links between myocardial deformation…
Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis
Matthias A. F. Gsell, Christoph M. Augustin, Anton J. Prassl +6
Introduction: Stenotic aortic valve disease (AS) causes pressure overload of the left ventricle (LV) that may trigger adverse remodeling and precipitate progression towards heart f…