120 citations · 532 across the 34 of their papers we have counts for
6 papers · 1 filter
Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling
Francesco Regazzoni, Corrado Poggesi, Cecilia Ferrantini
The left ventricular end-systolic pressure-volume relationship (ESPVr) is a key indicator of cardiac contractility. Despite its established importance, several studies suggested th…
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
Giovanni Ziarelli, Stefano Pagani, Nicola Parolini +2
In this work, we aim to formalize a novel scientific machine learning framework to reconstruct the hidden dynamics of the transmission rate, whose inaccurate extrapolation can sign…
Shape-informed surrogate models based on signed distance function domain encoding
Linying Zhang, Stefano Pagani, Jun Zhang +1
We propose a non-intrusive method to build surrogate models that approximate the solution of parameterized partial differential equations (PDEs), capable of taking into account the…
Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system
Andrea Tonini, Francesco Regazzoni, Matteo Salvador +7
Cardiocirculatory mathematical models serve as valuable tools for investigating physiological and pathological conditions of the circulatory system. To investigate the clinical con…
Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems
Michele Bucelli, Francesco Regazzoni, Luca Dede' +1
Multiphysics simulations frequently require transferring solution fields between subproblems with non-matching spatial discretizations, typically using interpolation techniques. St…
An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation
Elena Zappon, Matteo Salvador, Roberto Piersanti +3
When generating in-silico clinical electrophysiological outputs, such as electrocardiograms (ECGs) and body surface potential maps (BSPMs), mathematical models have relied on singl…