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Pagani, Stefano
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1

Learning the intrinsic dynamics of spatio-temporal processe..:

Regazzoni, Francesco ; Pagani, Stefano ; Salvador, Matteo..
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Physics-informed neural network estimation of material prop..:

Caforio, Federica ; Regazzoni, Francesco ; Pagani, Stefano...
Computational Mechanics.  , 2024
Link: https://doi.org/10.1007/..
 
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3

Reduced order modeling of the cardiac function across the s..:

, In: Reduced Order Models for the Biomechanics of Living Organs,
Cicci, Ludovica ; Fresca, Stefania ; Zappon, Elena... - p. 403-433 , 2023
Link: https://doi.org/10.1016/..
 
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4

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

Africa, Pasquale Claudio ; Piersanti, Roberto ; Regazzoni, Francesco...
BMC Bioinformatics.  24 (2023)  1 - p. , 2023
Link: https://doi.org/10.1186/..
 
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5

Contributors:

, In: Reduced Order Models for the Biomechanics of Living Organs,
Alfaro, Icíar ; Arana, Estanislao ; Avazmohammadi, Reza... - p. xvii-xxiii , 2023
Link: https://doi.org/10.1016/..
 
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6

Electrogram fractionation during sinus rhythm occurs in nor..:

Frontera, Antonio ; Limite, Luca Rosario ; Pagani, Stefano...
Pacing and Clinical Electrophysiology.  45 (2022)  2 - p. 219-228 , 2022
Link: https://doi.org/10.1111/..
 
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7

The role of mechano-electric feedbacks and hemodynamic coup..:

Salvador, Matteo ; Regazzoni, Francesco ; Pagani, Stefano...
Computers in Biology and Medicine.  142 (2022)  - p. 105203 , 2022
Link: https://doi.org/10.1016/..
 
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8

PDE-Aware Deep Learning for Inverse Problems in Cardiac Ele..:

Tenderini, Riccardo ; Pagani, Stefano ; Quarteroni, Alfio.
SIAM Journal on Scientific Computing.  44 (2022)  3 - p. B605-B639 , 2022
Link: https://doi.org/10.1137/..
 
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9

A physics-informed multi-fidelity approach for the estimati..:

Regazzoni, Francesco ; Pagani, Stefano ; Cosenza, Alessandro..
Rendiconti Lincei, Matematica e Applicazioni.  32 (2021)  3 - p. 437-470 , 2021
Link: https://doi.org/10.4171/..
 
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10

Data integration for the numerical simulation of cardiac el..:

Pagani, Stefano ; Dede', Luca ; Manzoni, Andrea.
Pacing and Clinical Electrophysiology.  44 (2021)  4 - p. 726-736 , 2021
Link: https://doi.org/10.1111/..
 
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11

Enabling forward uncertainty quantification and sensitivity..:

Pagani, Stefano ; Manzoni, Andrea
International Journal for Numerical Methods in Biomedical Engineering.  37 (2021)  6 - p. , 2021
Link: https://doi.org/10.1002/..
 
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12

A certified RB method for PDE-constrained parametric optimi..:

Manzoni, Andrea ; Pagani, Stefano
Communications in Applied and Industrial Mathematics.  10 (2019)  1 - p. 123-152 , 2019
Link: https://doi.org/10.2478/..
 
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13

Numerical approximation of parametrized problems in cardiac..:

Pagani, Stefano ; Manzoni, Andrea ; Quarteroni, Alfio
Computer Methods in Applied Mechanics and Engineering.  340 (2018)  - p. 530-558 , 2018
Link: https://doi.org/10.1016/..
 
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14

Efficient State/Parameter Estimation in Nonlinear Unsteady ..:

Pagani, Stefano ; Manzoni, Andrea ; Quarteroni, Alfio
SIAM/ASA Journal on Uncertainty Quantification.  5 (2017)  1 - p. 890-921 , 2017
Link: https://doi.org/10.1137/..
 
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15

A high-order discontinuous Galerkin method for the numerica..:

Saglio, Caterina Beatrice Leimer ; Pagani, Stefano ; Corti, Mattia.
http://arxiv.org/abs/2401.14310.  , 2024
Link: http://arxiv.org/abs/240..
 
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