Stefano Pagani
Citata da
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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
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
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
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
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
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
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
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
Reduced-order models for inverse problems and uncertainty quantification in cardiac electrophysiology
Italy, 2017
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
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
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
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
Accurate solution of bayesian inverse uncertainty quantification problems using model and error reduction methods
A Manzoni, S Pagani, T Lassila
Mathicse Report, 2014
A reduced basis ensemble Kalman filter for state/parameter identification in large-scale nonlinear dynamical systems
S Pagani, A Manzoni, A Quarteroni
Technical Report, École polytechnique fédérale de Lausanne, 2016
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
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
S Pagani, A Manzoni, KT Carlberg
International Journal for Uncertainty Quantification 12 (1), 2022
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
A certified RB method for PDE-constrained parametric optimization problems
A Manzoni, S Pagani
Communications in Applied and Industrial Mathematics 10 (1), 123-152, 2019
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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