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)

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)

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method. - Stefano Pagani; Andrea Manzoni; Kevin Carlberg (CoRR, 2019)

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)

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology. - Riccardo Tenderini; Stefano Pagani; Alfio Quarteroni; Simone Deparis (SIAM J. Sci. Comput., 2022)

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)

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)

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)

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)

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)

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)

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)

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)

A p-adaptive polytopal discontinuous Galerkin method for high-order approximation of brain electrophysiology. - Caterina Beatrice Leimer Saglio; Stefano Pagani; Paola F. Antonietti (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)

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)