PAGANI, STEFANO

PAGANI, STEFANO  

DIPARTIMENTO DI MATEMATICA  

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Risultati 1 - 20 di 26 (tempo di esecuzione: 0.049 secondi).
Titolo Data di pubblicazione Autori File
8 Reduced-order modeling for applications to the cardiovascular system 1-gen-2020 Andrea ManzoniStefano PaganiAlfio Quarteroni +
A certified RB method for PDE-constrained parametric optimization problems 1-gen-2019 Manzoni A.Pagani S.
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation 1-gen-2021 Pagani S.Dede' L.Salvador M.Manzoni A.Quarteroni A. +
A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes 1-gen-2021 Francesco RegazzoniStefano PaganiAlfio Quarteroni +
Accurate solution of Bayesian inverse uncertainty quantification problems combining reduced basis methods and reduction error models 1-gen-2016 Manzoni, A.Pagani, S. +
Advanced multiphysics and multiscale cardiac models: bridging numerical simulations with digital twins for human heart simulation 1-gen-2024 L. Dede'M. BucelliS. PaganiR. PiersantiF. RegazzoniA. ToniniA. Quarteroni
All-in-one electrical atrial substrate indicators with deep anomaly detection 1-gen-2024 Pagani, Stefano +
Characterization of cardiac electrogram signals in atrial arrhythmias 1-gen-2021 Pagani S.Dede' L.Manzoni A.Quarteroni A. +
Data integration for the numerical simulation of cardiac electrophysiology 1-gen-2021 Pagani S.Dede' L.Manzoni A.Quarteroni A.
Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter 1-gen-2017 PAGANI, STEFANOManzoni, AndreaQuarteroni, Alfio
Electrogram fractionation during sinus rhythm occurs in normal voltage atrial tissue in patients with atrial fibrillation 1-gen-2022 Pagani S.Quarteroni A. +
Electromechanical modeling of cardiac arrhythmias 1-gen-2022 Salvador, MatteoRegazzoni, FrancescoPagani, StefanoDede', LucaQuarteroni, Alfio
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning 1-gen-2021 Pagani S.Manzoni A.
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks 1-gen-2024 Regazzoni, FrancescoPagani, StefanoSalvador, MatteoDede’, LucaQuarteroni, Alfio
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations 1-gen-2023 Piersanti, RobertoRegazzoni, FrancescoBucelli, MichelePagani, StefanoDede', LucaQuarteroni, Alfio +
Non-intrusive and mesh-free neural network models of parametrized differential equations with variable geometry 1-gen-2022 S. PaganiF. RegazzoniL. Dede'A. Quarteroni
Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method 1-gen-2018 PAGANI, STEFANOManzoni, AndreaQuarteroni, Alfio
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications 1-gen-2020 Pagani S.Manzoni A.Dede' Luca.Quarteroni A. +
PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology 1-gen-2022 Stefano PaganiAlfio Quarteroni +
Physics-informed Neural Networks for parameter estimation in cardiac mechanics 1-gen-2022 Pagani, StefanoRegazzoni, FrancescoSalvador, MatteoFraulin, DanielZacchei, FilippoQuarteroni, Alfio