| Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method S Pagani, A Manzoni, A Quarteroni Computer Methods in Applied Mechanics and Engineering 340, 530-558, 2018 | 69 | 2018 |
| Accurate solution of Bayesian inverse uncertainty quantification problems combining reduced basis methods and reduction error models A Manzoni, S Pagani, T Lassila SIAM/ASA Journal on Uncertainty Quantification 4 (1), 380-412, 2016 | 64 | 2016 |
| Slow conduction corridors and pivot sites characterize the electrical remodeling in atrial fibrillation A Frontera, S Pagani, LR Limite, A Peirone, F Fioravanti, B Enache, ... Clinical Electrophysiology 8 (5), 561-577, 2022 | 40 | 2022 |
| The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia M Salvador, F Regazzoni, S Pagani, N Trayanova, A Quarteroni Computers in Biology and Medicine 142, 105203, 2022 | 38 | 2022 |
| Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter S Pagani, A Manzoni, A Quarteroni SIAM/ASA Journal on Uncertainty Quantification 5 (1), 890-921, 2017 | 36 | 2017 |
| Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning S Pagani, A Manzoni International Journal for Numerical Methods in Biomedical Engineering 37 (6 …, 2021 | 32 | 2021 |
| Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications A Frontera, S Pagani, LR Limite, A Hadjis, A Manzoni, L Dedé, ... Heart Rhythm 17 (10), 1719-1728, 2020 | 32 | 2020 |
| A computational study of the electrophysiological substrate in patients suffering from atrial fibrillation S Pagani, L Dede, A Frontera, M Salvador, LR Limite, A Manzoni, ... Frontiers in Physiology, 927, 2021 | 20 | 2021 |
| Data integration for the numerical simulation of cardiac electrophysiology S Pagani, L Dede’, A Manzoni, A Quarteroni Pacing and Clinical Electrophysiology 44 (4), 726-736, 2021 | 18 | 2021 |
| PDE-aware deep learning for inverse problems in cardiac electrophysiology R Tenderini, S Pagani, A Quarteroni, S Deparis SIAM Journal on Scientific Computing 44 (3), B605-B639, 2022 | 16 | 2022 |
| A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes F Regazzoni, S Pagani, A Cosenza, A Lombardi, A Quarteroni Rendiconti Lincei 32 (3), 437-470, 2021 | 16 | 2021 |
| lifex-ep: a robust and efficient software for cardiac electrophysiology simulations PC Africa, R Piersanti, F Regazzoni, M Bucelli, M Salvador, M Fedele, ... BMC bioinformatics 24 (1), 389, 2023 | 15 | 2023 |
| Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks F Regazzoni, S Pagani, M Salvador, L Dede’, A Quarteroni Nature Communications 15 (1), 1834, 2024 | 14 | 2024 |
| Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics L Cicci, S Fresca, S Pagani, A Manzoni, A Quarteroni Mathematics in Engineering 5 (2), 1-38, 2022 | 13 | 2022 |
| Reduced-order models for inverse problems and uncertainty quantification in cardiac electrophysiology S PAGANI Italy, 2017 | 12 | 2017 |
| Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains F Regazzoni, S Pagani, A Quarteroni Journal of Biomechanical Engineering 144 (12), 121004, 2022 | 9 | 2022 |
| Electrogram fractionation during sinus rhythm occurs in normal voltage atrial tissue in patients with atrial fibrillation A Frontera, LR Limite, S Pagani, M Cireddu, K Vlachos, C Martin, ... Pacing and Clinical Electrophysiology 45 (2), 219-228, 2022 | 9 | 2022 |
| Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models F Caforio, F Regazzoni, S Pagani, E Karabelas, C Augustin, G Haase, ... Computational Mechanics, 1-27, 2024 | 8 | 2024 |
| Accurate solution of bayesian inverse uncertainty quantification problems using model and error reduction methods A Manzoni, S Pagani, T Lassila Mathicse Report, 2014 | 8 | 2014 |
| Characterization of cardiac electrogram signals in atrial arrhythmias. A Frontera, LR Limite, S Pagani, A Hadjis, M Cireddu, S Sala, ... Minerva Cardiology and Angiology 69 (1), 70-80, 2021 | 7 | 2021 |
Alfio QuarteroniProfessor of Mathematics, Politecnico di Milano, Milan, Italy and EPFL, Lausanne, SwitzerlandVerified email at polimi.it