Simulating the cardiac function requires the numerical solution of
multi...
Cardiac digital twins provide a physics and physiology informed framewor...
The accurate robust and efficient transfer of the deformation gradient t...
Impaired cardiac function has been described as a frequent complication ...
Predicting the evolution of systems that exhibit spatio-temporal dynamic...
Computational fluid dynamics (CFD) is an important tool for the simulati...
Algebraic multigrid (AMG) methods are among the most efficient solvers f...
We present a novel mathematical model that simulates myocardial blood
pe...
The spreading of prion proteins is at the basis of brain neurodegenerati...
We introduce a multiphysics and geometric multiscale computational model...
Parameter estimation and uncertainty quantification are crucial in
compu...
We introduce and analyze a discontinuous Galerkin method for the numeric...
A major challenge in the computational fluid dynamics modeling of the he...
We propose a mathematical and numerical model for the simulation of the ...
While ventricular electromechanics is extensively studied, four-chamber ...
We propose a matrix-free solver for the numerical solution of the cardia...
We analyze left atrium haemodynamics, highlighting differences among hea...
Modeling the whole cardiac function involves the solution of several com...
Several epidemiological models have been proposed to study the evolution...
We present a novel Deep Learning-based algorithm to accelerate - through...
We propose using Machine Learning and Artificial Neural Networks (ANN) t...
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli ar...
We propose a machine learning-based method to build a system of differen...
We present a novel computational model for the numerical simulation of t...
Two crucial factors for accurate numerical simulations of cardiac
electr...
In this paper, we investigate the hemodynamics of a left atrium (LA) by
...
We developed a novel patient-specific computational model for the numeri...
We propose a nonlinear reduced basis method for the efficient approximat...
Since myocardial fibers drive the electric signal propagation throughout...
The COVID-19 epidemic is the last of a long list of pandemics that have
...
In the framework of accurate and efficient segregated schemes for 3D car...
We propose an integrated electromechanical model of the human heart, wit...
A data analysis of the COVID-19 epidemic is proposed on the basis of the...
Predicting the electrical behavior of the heart, from the cellular scale...
Traditional reduced order modeling techniques such as the reduced basis ...