Francesco Regazzoni
Associate Professor
Contact Information
Phone:
Fax:
Office:
14 - Nave (Tender)
Keywords
Computational learning Advanced Numerical Methods for Scientific Computing Computational Medicine for the Cardiocirculatory System Living Systems and Precision Medicine SC4I/Digitization, Innovation, and Competitiveness of the Production SystemPublications and profiles
Available MOX Reports
Reports are ordered from the most recent.
71/2024
Shape-informed surrogate models based on signed distance function domain encoding
September 19, 2024
40/2024
Implicit neural field reconstruction on complex shapes from scattered and noisy data
May 30, 2024
61/2023
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
August 4, 2023
04/2023
A mathematical model of the human heart suitable to address clinical problems
January 10, 2023
01/2023
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
January 5, 2023
74/2022
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
October 19, 2022
57/2022
Computational analysis of cardiovascular effects of COVID- 19 infection in children
August 15, 2022
68/2021
A machine learning method for real-time numerical simulations of cardiac electromechanics
November 3, 2021
59/2021
A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations
September 27, 2021
57/2021
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
August 24, 2021
43/2020
Modeling the effect of COVID-19 on the cardiac function: A computational study
June 23, 2020
01/2019