Machine learning for fast and reliable solution of time-dependent differential equations. - Francesco Regazzoni 002; Luca Dedè; Alfio Quarteroni (J. Comput. Phys., 2019)

An oscillation-free fully partitioned scheme for the numerical modeling of cardiac active mechanics. - Francesco Regazzoni 002; Alfio Quarteroni (CoRR, 2020)

A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation. - Francesco Regazzoni 002; Matteo Salvador; Pasquale Claudio Africa; Marco Fedele; Luca Dedè; Alfio Quarteroni (CoRR, 2020)

A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part II: numerical approximation. - Francesco Regazzoni 002; Matteo Salvador; Pasquale Claudio Africa; Marco Fedele; Luca Dedè; Alfio Quarteroni (CoRR, 2020)

Biophysically detailed mathematical models of multiscale cardiac active mechanics. - Francesco Regazzoni 002; Luca Dedè; Alfio Quarteroni (PLoS Comput. Biol., 2020)

Electro-Mechanical Coupling in Human Atrial Cardiomyocytes: Model Development and Analysis of Inotropic Interventions. - Fazeelat Mazhar; Francesco Regazzoni 002; Chiara Bartolucci; Cristiana Corsi; Luca Dedè; Alfio Quarteroni; Stefano Severi (CinC, 2021)

Accelerating the convergence to a limit cycle in 3D cardiac electromechanical simulations through a data-driven 0D emulator. - Francesco Regazzoni 002; Alfio Quarteroni (Comput. Biol. Medicine, 2021)

3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics. - Roberto Piersanti; Francesco Regazzoni 002; Matteo Salvador; Antonio F. Corno; Luca Dedè; Christian Vergara; Alfio Quarteroni (CoRR, 2021)

A machine learning method for real-time numerical simulations of cardiac electromechanics. - Francesco Regazzoni 002; Matteo Salvador; Luca Dedè; Alfio Quarteroni (CoRR, 2021)

A Novel Human Atrial Electromechanical Cardiomyocyte Model with Mechano-Calcium Feedback Effect. - Fazeelat Mazhar; Francesco Regazzoni 002; Chiara Bartolucci; Cristiana Corsi; Luca Dedè; Alfio Quarteroni; Stefano Severi (CinC, 2022)

The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia. - Matteo Salvador; Francesco Regazzoni 002; Stefano Pagani; Luca Dedè; Natalia A. Trayanova; Alfio Quarteroni (Comput. Biol. Medicine, 2022)

Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains. - Francesco Regazzoni 002; Stefano Pagani; Alfio Quarteroni (CoRR, 2022)

A comprehensive and biophysically detailed computational model of the whole human heart electromechanics. - Marco Fedele; Roberto Piersanti; Francesco Regazzoni 002; Matteo Salvador; Pasquale Claudio Africa; Michele Bucelli; Alberto Zingaro; Luca Dedè; Alfio Quarteroni (CoRR, 2022)

A cardiac electromechanical model coupled with a lumped-parameter model for closed-loop blood circulation. - Francesco Regazzoni 002; Matteo Salvador; Pasquale Claudio Africa; Marco Fedele; Luca Dedè; Alfio Quarteroni (J. Comput. Phys., 2022)

A comprehensive mathematical model for cardiac perfusion. - Alberto Zingaro; Christian Vergara; Luca Dede'; Francesco Regazzoni 002; Alfio Quarteroni (CoRR, 2023)

Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes. - Francesco Regazzoni 002; Stefano Pagani; Matteo Salvador; Luca Dede'; Alfio Quarteroni (CoRR, 2023)

A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system. - Andrea Tonini; Christian Vergara; Francesco Regazzoni 002; Luca Dede'; Roberto Scrofani; Chiara Cogliati; Alfio Quarteroni (CoRR, 2023)

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: application to cardiac electromechanics. - Michele Bucelli; Francesco Regazzoni 002; Luca Dedè; Alfio Quarteroni (CoRR, 2023)

Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations. - Matteo Salvador; Marina Strocchi; Francesco Regazzoni 002; Luca Dede'; Steven A. Niederer; Alfio Quarteroni (CoRR, 2023)

Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models. - Federica Caforio; Francesco Regazzoni 002; Stefano Pagani; Elias Karabelas; Christoph M. Augustin; Gundolf Haase; Gernot Plank; Alfio Quarteroni (CoRR, 2023)

Reconstructing relaxed configurations in elastic bodies: Mathematical formulation and numerical methods for cardiac modeling. - Nicolás A. Barnafi; Francesco Regazzoni 002; Davide Riccobelli (CoRR, 2023)

Fast and robust parameter estimation with uncertainty quantification for the cardiac function. - Matteo Salvador; Francesco Regazzoni 002; Luca Dede'; Alfio Quarteroni (Comput. Methods Programs Biomed., 2023)

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations. - Pasquale Claudio Africa; Roberto Piersanti; Francesco Regazzoni 002; Michele Bucelli; Matteo Salvador; Marco Fedele; Stefano Pagani; Luca Dede'; Alfio Quarteroni (BMC Bioinform., 2023)

An integrated heart-torso electromechanical model for the simulation of electrophysiogical outputs accounting for myocardial deformation. - Elena Zappon; Matteo Salvador; Roberto Piersanti; Francesco Regazzoni 002; Luca Dede'; Alfio Quarteroni (CoRR, 2024)

Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system. - Andrea Tonini; Francesco Regazzoni 002; Matteo Salvador; Luca Dede'; Roberto Scrofani; Laura Fusini; Chiara Cogliati; Gianluca Pontone; Christian Vergara; Alfio Quarteroni (CoRR, 2024)

A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts. - Giovanni Ziarelli; Stefano Pagani; Nicola Parolini; Francesco Regazzoni 002; Marco Verani (CoRR, 2024)

Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling. - Francesco Regazzoni 002; Corrado Poggesi; Cecilia Ferrantini (CoRR, 2024)

An electromechanics-driven fluid dynamics model for the simulation of the whole human heart. - Alberto Zingaro; Michele Bucelli; Roberto Piersanti; Francesco Regazzoni 002; Luca Dede'; Alfio Quarteroni (J. Comput. Phys., 2024)

Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations. - Matteo Salvador; Marina Strocchi; Francesco Regazzoni 002; Christoph M. Augustin; Luca Dede'; Steven A. Niederer; Alfio Quarteroni (npj Digit. Medicine, 2024)

Robust Radial Basis Function Interpolation Based on Geodesic Distance for the Numerical Coupling of Multiphysics Problems. - Michele Bucelli; Francesco Regazzoni 002; Luca Dede'; Alfio Quarteroni (SIAM J. Sci. Comput., 2024)

Shape-informed surrogate models based on signed distance function domain encoding. - Linying Zhang; Stefano Pagani; Jun Zhang 016; Francesco Regazzoni 002 (J. Comput. Phys., 2025)

Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning. - Alfio Quarteroni; Paola Gervasio; Francesco Regazzoni 002 (CoRR, 2025)

Stabilization of loosely coupled schemes for 0D-3D fluid-structure interaction problems with application to cardiovascular modelling. - Francesco Regazzoni 002 (Numerische Mathematik, 2025)

Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics. - Irena Radisic; Francesco Regazzoni 002; Michele Bucelli; Stefano Pagani; Luca Dede'; Alfio Quarteroni (CoRR, 2025)

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models. - Matthias Höfler; Francesco Regazzoni 002; Stefano Pagani; Elias Karabelas; Christoph M. Augustin; Gundolf Haase; Gernot Plank; Federica Caforio (CoRR, 2025)

Emergence of Structure in Ensembles of Random Neural Networks. - Luca Muscarnera; Luigi Loreti; Giovanni Todeschini; Alessio Fumagalli; Francesco Regazzoni 002 (CoRR, 2025)

Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs. - Riccardo Tenderini; Luca Pegolotti; Fanwei Kong; Stefano Pagani; Francesco Regazzoni 002; Alison L. Marsden; Simone Deparis (CoRR, 2025)