120 citations · 532 across the 34 of their papers we have counts for
8 papers · 1 filter
Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models
Federica Caforio, Francesco Regazzoni, Stefano Pagani +5
The development of biophysical models for clinical applications is rapidly advancing in the research community, thanks to their predictive nature and their ability to assist the in…
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-…
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…
Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: application to cardiac electromechanics
Michele Bucelli, Francesco Regazzoni, Luca Dede' +1
The accurate robust and efficient transfer of the deformation gradient tensor between meshes of different resolution is crucial in cardiac electromechanics simulations. We present…
A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system
Andrea Tonini, Christian Vergara, Francesco Regazzoni +4
Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascu…
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…
A comprehensive mathematical model for cardiac perfusion
Alberto Zingaro, Christian Vergara, Luca Dede' +2
We present a novel mathematical model that simulates myocardial blood perfusion by embedding multiscale and multiphysics features. Our model incorporates cardiac electrophysiology,…
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
Alberto Zingaro, Michele Bucelli, Roberto Piersanti +3
We introduce a multiphysics and geometric multiscale computational model, suitable to describe the hemodynamics of the whole human heart, driven by a four-chamber electromechanical…