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08/04/2023
Branched Latent Neural Operators
We introduce Branched Latent Neural Operators (BLNOs) to learn input-out...
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08/03/2023
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
Simulating the cardiac function requires the numerical solution of multi...
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06/08/2023
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Cardiac digital twins provide a physics and physiology informed framewor...
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04/28/2023
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
Predicting the evolution of systems that exhibit spatio-temporal dynamic...
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10/06/2022
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
Parameter estimation and uncertainty quantification are crucial in compu...
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07/25/2022
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
While ventricular electromechanics is extensively studied, four-chamber ...
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05/10/2022
A matrix-free high-order solver for the numerical solution of cardiac electrophysiology
We propose a matrix-free solver for the numerical solution of the cardia...
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10/28/2021
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
Mechano-electric feedbacks (MEFs), which model how mechanical stimuli ar...
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10/25/2021
A machine learning method for real-time numerical simulations of cardiac electromechanics
We propose a machine learning-based method to build a system of differen...
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08/04/2021
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
Two crucial factors for accurate numerical simulations of cardiac electr...
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06/24/2021
Electromechanical modeling of human ventricles with ischemic cardiomyopathy: numerical simulations in sinus rhythm and under arrhythmia
We developed a novel patient-specific computational model for the numeri...
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03/31/2021
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
We propose a nonlinear reduced basis method for the efficient approximat...
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11/30/2020
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation
In the framework of accurate and efficient segregated schemes for 3D car...
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11/30/2020
