120 citations · 532 across the 34 of their papers we have counts for
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Fast and robust parameter estimation with uncertainty quantification for the cardiac function
Matteo Salvador, Francesco Regazzoni, Luca Dede' +1
Parameter estimation and uncertainty quantification are crucial in computational cardiology, as they enable the construction of digital twins that faithfully replicate the behavior…
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
Marco Fedele, Roberto Piersanti, Francesco Regazzoni +6
While ventricular electromechanics is extensively studied, four-chamber heart models have only been addressed recently; most of these works however neglect atrial contraction. Inde…
Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains
Francesco Regazzoni, Stefano Pagani, Alfio Quarteroni
We introduce Universal Solution Manifold Network (USM-Net), a novel surrogate model, based on Artificial Neural Networks (ANNs), which applies to differential problems whose soluti…