Sara Gazzoni

PhD Student (M3E)

Contact Information

Phone:
+39 02 2399
Fax:
+39 02 2399
Email:

Keywords

Available MOX Reports

RADISIC, I.; REGAZZONI, F.; BUCELLI, M.; PAGANI, S.; DEDE', L.; QUARTERONI, A.
Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics
QUARTERONI, A.; GERVASIO, P.; REGAZZONI, F.
Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning
AROSTICA, R.; NOLTE, D.; BROWN, A.; GEBAUER, A.; KARABELAS, E.; JILBERTO, J.; SALVADOR, M.; BUCELLI, M.; PIERSANTI, R.; OSOULI, K.; AUGUSTIN, C.; FINSBERG, H.; SHI, L.; HIRSCHVOGEL, M.; PFALLER, M.; AFRICA, P.C.; GSELL, M.; MARSDEN, A.; NORDSLETTEN, D.; REGAZZONI, F.; PLANK, G.; SUNDNES, J.; DEDE’, L.; PEIRLINCK, M.; VEDULA, V.; WALL, W.; BERTOGLIO, C.
A software benchmark for cardiac elastodynamics
REGAZZONI, F.; POGGESI, C.; FERRANTINI, C.
Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling
ZIARELLI, G.; PAGANI, S.; PAROLINI, N.; REGAZZONI, F.; VERANI, M.
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
ZHANG, L.; PAGANI, S.; ZHANG, J.; REGAZZONI, F.
Shape-informed surrogate models based on signed distance function domain encoding
CARRARA, D.; REGAZZONI, F.; PAGANI, S.
Implicit neural field reconstruction on complex shapes from scattered and noisy data
TONINI, A., REGAZZONI, F., SALVADOR, M., DEDE', L., SCROFANI, R., FUSINI, L., COGLIATI, C., PONTONE, G., VERGARA, C., QUARTERONI, A.
Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system
BUCELLI, M.; REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems
ZAPPON, E.; SALVADOR, M.; PIERSANTI, R.; REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
An integrated heart-torso electromechanical model for the simulation of electrophysiological outputs accounting for myocardial deformation
CAPUANO E.; REGAZZONI F.; MAINES M.; FORNARA S.; LOCATELLI V.; CATANZARITI D.; STELLA S.; NOBILE F.; DEL GRECO M.; VERGARA C.
Personalized Computational Electro-mechanics Simulations to Optimize Cardiac Resynchronization Therapy
BARNAFI, N. A.; REGAZZONI, F.; RICCOBELLI, D.
Reconstructing relaxed configurations in elastic bodies: mathematical formulation and numerical methods for cardiac modeling
AFRIACA, P.C.A; PIERSANTI, R.; REGAZZONI, F.; BUCELLI, M.; SALVADOR, M.; FEDELE, M.; PAGANI, S.; DEDE', L.; QUARTERONI, A.
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations
REGAZZONI, F.
An optimally convergent Fictitious Domain method for interface problems
MONTINO PELAGI, G.; BAGGIANO, A.; REGAZZONI, F.; FUSINI, L.; ALì, M.; PONTONE, G.; VALBUSA, G.; VERGARA, C.
Personalized pressure conditions and calibration for a predictive computational model of coronary and myocardial blood flow
BUCELLI, M.; REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: application to cardiac electromechanics
TONINI, A.; VERGARA, C.; REGAZZONI, F.; DEDè, L.; SCROFANI, R.; COGLIATI, C.; QUARTERONI, A.
A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system
REGAZZONI, F.; PAGANI, S.; SALVADOR, M.; DEDE’, L.; QUARTERONI, A.
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
ZINGARO, A.; VERGARA, C.; DEDE', L.; REGAZZONI, F.; QUARTERONI, A.
A comprehensive mathematical model for myocardial perfusion
QUARTERONI, A.; DEDE’, L.; REGAZZONI, F.; VERGARA, C.
A mathematical model of the human heart suitable to address clinical problems
ZINGARO, A.; BUCELLI, M.; PIERSANTI, R.; REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
An electromechanics-driven fluid dynamics model for the simulation of the whole human heart
SALVADOR, M.; REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
Fast and robust parameter estimation with uncertainty quantification for the cardiac function
RUFFINO, L.; SANTORO, A.; SPARVIERI, S.; REGAZZONI, F.; ADEBO, D.A.; QUARTERONI, A.; VERGARA, C.; CORNO, A.F.
Computational analysis of cardiovascular effects of COVID- 19 infection in children
FEDELE, M.; PIERSANTI, R.; REGAZZONI, F.; SALVADOR, M.; AFRICA, P. C.; BUCELLI, M.; ZINGARO, A.; DEDE', L.; QUARTERONI, A.
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics
REGAZZONI, F.; PAGANI, S.; QUARTERONI, A.
Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains
REGAZZONI, F.
Stabilization of staggered time discretization schemes for 0D-3D fluid-structure interaction problems
REGAZZONI, F.; SALVADOR, M.; DEDE', L.; QUARTERONI, A.
A machine learning method for real-time numerical simulations of cardiac electromechanics
SALVADOR, M.; REGAZZONI, F.; PAGANI, S.; DEDE', L.; TRAYANOVA, N.; QUARTERONI, A.
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia
STELLA, S.; REGAZZONI, F.; VERGARA, C.; DEDE', L.; QUARTERONI, A.
A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations
ROBERTO PIERSANTI, FRANCESCO REGAZZONI, MATTEO SALVADOR, ANTONIO F. CORNO, LUCA DEDE', CHRISTIAN VERGARA, ALFIO QUARTERONI
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
REGAZZONI, F.; QUARTERONI, A.
Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator
REGAZZONI, F.; CHAPELLE, D.; MOIREAU, P.
Combining Data Assimilation and Machine Learning to build data-driven models for unknown long time dynamics - Applications in cardiovascular modeling
REGAZZONI, F.; SALVADOR, M.; AFRICA, P.C.; FEDELE, M.; DEDE', L.; QUARTERONI, A.
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation
REGAZZONI, F.; SALVADOR, M.; AFRICA, P.C.; FEDELE, M.; DEDE', L.; QUARTERONI, A.
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation
REGAZZONI, F.; QUARTERONI, A.
An oscillation-free fully partitioned scheme for the numerical modeling of cardiac active mechanics
DEDE’, L.; REGAZZONI, F.; VERGARA, C.; ZUNINO, P.; GUGLIELMO, M.; SCROFANI, R.; FUSINI, L.;COGLIATI, C.; PONTONE, G.; QUARTERONI, A.
Modeling the effect of COVID-19 on the cardiac function: A computational study
REGAZZONI, F.; DEDè, L.; QUARTERONI, A.
Biophysically detailed mathematical models of multiscale cardiac active mechanics
REGAZZONI, F.; DEDè, L.; QUARTERONI, A.
Active force generation in cardiac muscle cells: mathematical modeling and numerical simulation of the actin-myosin interaction
REGAZZONI, F.; DEDE', L.; QUARTERONI, A.
Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics
REGAZZONI, F.; DEDè, L.; QUARTERONI, A.
Machine learning for fast and reliable solution of time-dependent differential equations
REGAZZONI, F.;PAROLINI, N.;VERANI M.
Topology optimization of multiple anisotropic materials, with application to self-assembling diblock copolymers
REGAZZONI, F.; DEDè, L.; QUARTERONI, A.
Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions
BRUGGI, M.; PAROLINI, N.; REGAZZONI, F.; VERANI, M.
Finite Element approximation of an evolutionary Topology Optimization problem