REGAZZONI, FRANCESCO

REGAZZONI, FRANCESCO  

DIPARTIMENTO DI MATEMATICA  

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Titolo Data di pubblicazione Autori File
3D–0D closed-loop model for the simulation of cardiac biventricular electromechanics 1-gen-2022 Roberto PiersantiFrancesco RegazzoniMatteo SalvadorLuca Dede’Christian VergaraAlfio Quarteroni +
Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator 1-gen-2021 Regazzoni F.Quarteroni A.
Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions 1-gen-2018 F. RegazzoniL. Dede'A. Quarteroni
Active Force Generation in Cardiac Muscle Cells: Mathematical Modeling and Numerical Simulation of the Actin-Myosin Interaction 1-gen-2021 Regazzoni F.Dede' L.Quarteroni A.
Biophysically detailed mathematical models of multiscale cardiac active mechanics 1-gen-2020 Regazzoni F.Dede' L.Quarteroni A.
A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation 1-gen-2022 Regazzoni, F.Salvador, M.Africa, P. C.Fedele, M.Dede', L.Quarteroni, A.
Combining data assimilation and machine learning to build data-driven models for unknown long time dynamics—Applications in cardiovascular modeling 1-gen-2021 Regazzoni F.Chapelle D.Moireau P.
COMPUTER-IMPLEMENTED METHOD FOR THE GENERATION OF A MATHEMATICAL MODEL WITH REDUCED COMPUTATIONAL COMPLEXITY 1-gen-2021 DEDE' L.QUARTERONI A.REGAZZONI F.
Electro-Mechanical Coupling in Human Atrial Cardiomyocytes: Model Development and Analysis of Inotropic Interventions 1-gen-2021 Regazzoni, FrancescoDede, LucaQuarteroni, Alfio +
Finite Element Approximation of a Time-Dependent Topology Optimization Problem 1-gen-2016 BRUGGI, MATTEOPAROLINI, NICOLARegazzoni, FrancescoVERANI, MARCO
Machine learning for fast and reliable solution of time-dependent differential equations 1-gen-2019 Regazzoni, F.Dedè, L.Quarteroni, A.
A machine learning method for real-time numerical simulations of cardiac electromechanics 1-gen-2022 Regazzoni, F.Salvador, M.Dede’, LucaQuarteroni, A.
Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics 1-gen-2020 Regazzoni F.Dede L.Quarteroni A.
Mathematical and numerical models for the cardiac electromechanical function 1-gen-2021 Luca Dede'Alfio QuarteroniFrancesco regazzoni
Metodo basato su reti neurali per costruire modelli surrogati di tipo differenziale e tempo-dipendenti, utilizzando in modo combinato dati e conoscenza a priori delle proprietà del fenomeno 1-gen-2020 A. QuarteroniL. Dede'F. Regazzoni
Modeling the cardiac electromechanical function: A mathematical journey 1-gen-2022 Quarteroni, AlfioDedè, LucaRegazzoni, Francesco
Modeling the cardiac response to hemodynamic changes associated with COVID-19: a computational study 1-gen-2021 Luca DedèFrancesco RegazzoniChristian VergaraPaolo ZuninoAlfio Quarteroni +
An oscillation-free fully staggered algorithm for velocity-dependent active models of cardiac mechanics 1-gen-2021 Regazzoni F.Quarteroni A.
A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes 1-gen-2021 Francesco RegazzoniStefano PaganiAlfio Quarteroni +
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia 1-gen-2022 Salvador M.Regazzoni F.Pagani S.Dede' L.Quarteroni A. +