Stefano Pagani

According to our database, Stefano Pagani authored at least 17 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Alison L. Marsden, Simone Deparis

CoRR, June, 2025

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models.

Matthias Höfler, Francesco Regazzoni, Stefano Pagani, Elias Karabelas, Christoph M. Augustin, Gundolf Haase, Gernot Plank, Federica Caforio

CoRR, May, 2025

A p-adaptive polytopal discontinuous Galerkin method for high-order approximation of brain electrophysiology.

Caterina Beatrice Leimer Saglio, Stefano Pagani, Paola F. Antonietti

CoRR, April, 2025

Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics.

Irena Radisic, Francesco Regazzoni, Michele Bucelli, Stefano Pagani, Luca Dede', Alfio Quarteroni

CoRR, April, 2025

Shape-informed surrogate models based on signed distance function domain encoding.

Linying Zhang, Stefano Pagani, Jun Zhang, Francesco Regazzoni

J. Comput. Phys., 2025

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, Marco Verani

CoRR, 2024

A high-order discontinuous Galerkin method for the numerical modeling of epileptic seizures.

Caterina Beatrice Leimer Saglio, Stefano Pagani, Mattia Corti, Paola F. Antonietti

CoRR, 2024

All-in-one electrical atrial substrate indicators with deep anomaly detection.

Luca Bindini, Stefano Pagani, Andrea Bernardini, Benedetta Grossi, Andrea Giomi, Antonio Frontera, Paolo Frasconi

Biomed. Signal Process. Control., 2024

2023

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations.

Pasquale Claudio Africa, Roberto Piersanti, Francesco Regazzoni, Michele Bucelli, Matteo Salvador, Marco Fedele, Stefano Pagani, Luca Dede', Alfio Quarteroni

BMC Bioinform., December, 2023

Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models.

Federica Caforio, Francesco Regazzoni, Stefano Pagani, Elias Karabelas, Christoph M. Augustin, Gundolf Haase, Gernot Plank, Alfio Quarteroni

CoRR, 2023

Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes.

Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dede', Alfio Quarteroni

CoRR, 2023

2022

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology.

Riccardo Tenderini, Stefano Pagani, Alfio Quarteroni, Simone Deparis

SIAM J. Sci. Comput., 2022

Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains.

Francesco Regazzoni, Stefano Pagani, Alfio Quarteroni

CoRR, 2022

The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia.

Matteo Salvador, Francesco Regazzoni, Stefano Pagani, Luca Dedè, Natalia A. Trayanova, Alfio Quarteroni

Comput. Biol. Medicine, 2022

2019

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method.

Stefano Pagani, Andrea Manzoni, Kevin Carlberg

CoRR, 2019

2017

Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter.

Stefano Pagani, Andrea Manzoni, Alfio Quarteroni

SIAM/ASA J. Uncertain. Quantification, 2017

2016

Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models.

Andrea Manzoni, Stefano Pagani, Toni Lassila

SIAM/ASA J. Uncertain. Quantification, 2016