120 citations · 292 across the 16 of their papers we have counts for
16 papers
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…
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…
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
Pasquale C. Africa, Roberto Piersanti, Francesco Regazzoni +6
Simulating the cardiac function requires the numerical solution of multi-physics and multi-scale mathematical models. This underscores the need for streamlined, accurate, and high-…
Branched Latent Neural Maps
Matteo Salvador, Alison Lesley Marsden
We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional input-output maps encoding complex physical processes. A BLNM is defined by a simple and compact feedfo…
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Matteo Salvador, Marina Strocchi, Francesco Regazzoni +3
Cardiac digital twins provide a physics and physiology informed framework to deliver predictive and personalized medicine. However, high-fidelity multi-scale cardiac models remain…
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
Francesco Regazzoni, Stefano Pagani, Matteo Salvador +2
Predicting the evolution of systems that exhibit spatio-temporal dynamics in response to external stimuli is a key enabling technology fostering scientific innovation. Traditional…
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…
A matrix-free high-order solver for the numerical solution of cardiac electrophysiology
Pasquale Claudio Africa, Matteo Salvador, Paola Gervasio +2
We propose a matrix-free solver for the numerical solution of the cardiac electrophysiology model consisting of the monodomain nonlinear reaction-diffusion equation coupled with a…
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Matteo Salvador, Francesco Regazzoni, Stefano Pagani +3
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli are transduced into electrical signals, have received sparse investigation by considering electromechanical si…
A machine learning method for real-time numerical simulations of cardiac electromechanics
Francesco Regazzoni, Matteo Salvador, Luca Dedè +1
We propose a machine learning-based method to build a system of differential equations that approximates the dynamics of 3D electromechanical models for the human heart, accounting…
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
Roberto Piersanti, Francesco Regazzoni, Matteo Salvador +4
Two crucial factors for accurate numerical simulations of cardiac electromechanics, which are also essential to reproduce the synchronous activity of the heart, are: i) accounting…
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia
Matteo Salvador, Marco Fedele, Pasquale Claudio Africa +6
We developed a novel patient-specific computational model for the numerical simulation of ventricular electromechanics in patients with ischemic cardiomyopathy (ICM). This model re…
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
Matteo Salvador, Luca Dede', Andrea Manzoni
We propose a nonlinear reduced basis method for the efficient approximation of parametrized partial differential equations (PDEs), exploiting kernel proper orthogonal decomposition…
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation
Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa +3
In the framework of accurate and efficient segregated schemes for 3D cardiac electromechanics and 0D cardiovascular models, we propose here a novel numerical approach to address th…
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation
Francesco Regazzoni, Matteo Salvador, Pasquale Claudio Africa +3
We propose an integrated electromechanical model of the human heart, with focus on the left ventricle, wherein biophysically detailed models describe the different physical phenome…