Takip et
Francesco Regazzoni
Francesco Regazzoni
Assistant Professor - MOX, Department of Mathematics - Politecnico di Milano
polimi.it üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Machine learning for fast and reliable solution of time-dependent differential equations
F Regazzoni, L Dedè, A Quarteroni
Journal of Computational Physics 397, 2019
1572019
A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation
F Regazzoni, M Salvador, PC Africa, M Fedele, L Dedè, A Quarteroni
Journal of Computational Physics 457, 111083, 2022
1062022
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
M Fedele, R Piersanti, F Regazzoni, M Salvador, PC Africa, M Bucelli, ...
Computer Methods in Applied Mechanics and Engineering 410, 115983, 2023
912023
Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics
F Regazzoni, L Dedè, A Quarteroni
Computer Methods in Applied Mechanics and Engineering 370, 113268, 2020
782020
Biophysically detailed mathematical models of multiscale cardiac active mechanics
F Regazzoni, L Dedè, A Quarteroni
PLoS computational biology 16 (10), e1008294, 2020
742020
3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics
R Piersanti, F Regazzoni, M Salvador, AF Corno, C Vergara, L Dede', ...
Computer Methods in Applied Mechanics and Engineering 391, 114607, 2022
662022
A machine learning method for real-time numerical simulations of cardiac electromechanics
F Regazzoni, M Salvador, L Dedè, A Quarteroni
Computer methods in applied mechanics and engineering 393, 114825, 2022
562022
Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions
F Regazzoni, L Dedè, A Quarteroni
Biomechanics and modeling in mechanobiology 17 (6), 1663-1686, 2018
512018
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
M Salvador, F Regazzoni, S Pagani, N Trayanova, A Quarteroni
Computers in Biology and Medicine 142, 105203, 2022
382022
Active force generation in cardiac muscle cells: mathematical modeling and numerical simulation of the actin-myosin interaction
F Regazzoni, L Dedè, A Quarteroni
Vietnam Journal of Mathematics, 1-32, 2020
382020
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
A Zingaro, M Bucelli, R Piersanti, F Regazzoni, A Quarteroni
Journal of Computational Physics 504, 112885, 2024
322024
Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator
F Regazzoni, A Quarteroni
Computers in Biology and Medicine 135, 104641, 2021
272021
Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—applications in cardiovascular modeling
F Regazzoni, D Chapelle, P Moireau
International Journal for Numerical Methods in Biomedical Engineering 37 (7 …, 2021
252021
An oscillation-free fully staggered algorithm for velocity-dependent active models of cardiac mechanics
F Regazzoni, A Quarteroni
Computer Methods in Applied Mechanics and Engineering 373, 113506, 2021
25*2021
Mathematical modeling and machine learning for the numerical simulation of cardiac electromechanics
F Regazzoni
Politecnico di Milano, 2020
252020
A comprehensive mathematical model for cardiac perfusion
A Zingaro, C Vergara, L Dede’, F Regazzoni, A Quarteroni
Scientific Reports 13 (1), 14220, 2023
212023
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
M Salvador, F Regazzoni, A Quarteroni
Computer Methods and Programs in Biomedicine 231, 107402, 2023
202023
Topology optimization of multiple anisotropic materials, with application to self-assembling diblock copolymers
F Regazzoni, N Parolini, M Verani
Computer Methods in Applied Mechanics and Engineering 338, 562-596, 2018
202018
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
F Regazzoni, S Pagani, M Salvador, L Dede’, A Quarteroni
Nature Communications 15 (1), 1834, 2024
19*2024
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study
L Dedè, F Regazzoni, C Vergara, P Zunino, M Guglielmo, R Scrofani, ...
Mathematical Biosciences and Engineering 18 (4), 3364-3383, 2021
182021
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