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Andrea Manzoni

Showing results (1-10 of 29) with videos related to

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International Journal for Numerical Methods in Biomedical Engineering|February 18, 2021
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learningStefano Pagani, Andrea Manzoni
International Journal for Numerical Methods in Biomedical Engineering|November 4, 2014
Model reduction techniques for fast blood flow simulation in parametrized geometriesAndrea Manzoni, Alfio Quarteroni, Gianluigi Rozza
Plos One|May 21, 2024
Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamicsLetizia Signorelli, Andrea Manzoni, Marte J Sætra
Neural Networks : the Official Journal of the International Neural Network Society|January 28, 2025
On latent dynamics learning in nonlinear reduced order modelingNicola Farenga, Stefania Fresca, Simone Brivio, et al.
Frontiers in Physiology|October 11, 2021
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left AtriumStefania Fresca, Andrea Manzoni, Luca Dedè, et al.
Sensors (Basel, Switzerland)|July 2, 2021
An Autoencoder-Based Deep Learning Approach for Load Identification in Structural DynamicsLuca Rosafalco, Andrea Manzoni, Stefano Mariani, et al.
International Journal for Numerical Methods in Biomedical Engineering|June 27, 2013
A reduced computational and geometrical framework for inverse problems in hemodynamicsToni Lassila, Andrea Manzoni, Alfio Quarteroni, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based ApproachesGiorgio Gobat, Stefania Fresca, Andrea Manzoni, et al.
Plos One|October 1, 2020
Deep learning-based reduced order models in cardiac electrophysiologyStefania Fresca, Andrea Manzoni, Luca Dedè, et al.
Pacing and Clinical Electrophysiology : PACE|February 17, 2021
Data integration for the numerical simulation of cardiac electrophysiologyStefano Pagani, Luca Dede', Andrea Manzoni, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
International Journal for Numerical Methods in Biomedical Engineering|February 18, 2021
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learningStefano Pagani, Andrea Manzoni
International Journal for Numerical Methods in Biomedical Engineering|November 4, 2014
Model reduction techniques for fast blood flow simulation in parametrized geometriesAndrea Manzoni, Alfio Quarteroni, Gianluigi Rozza
Plos One|May 21, 2024
Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamicsLetizia Signorelli, Andrea Manzoni, Marte J Sætra
Neural Networks : the Official Journal of the International Neural Network Society|January 28, 2025
On latent dynamics learning in nonlinear reduced order modelingNicola Farenga, Stefania Fresca, Simone Brivio, et al.
Frontiers in Physiology|October 11, 2021
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left AtriumStefania Fresca, Andrea Manzoni, Luca Dedè, et al.
Sensors (Basel, Switzerland)|July 2, 2021
An Autoencoder-Based Deep Learning Approach for Load Identification in Structural DynamicsLuca Rosafalco, Andrea Manzoni, Stefano Mariani, et al.
International Journal for Numerical Methods in Biomedical Engineering|June 27, 2013
A reduced computational and geometrical framework for inverse problems in hemodynamicsToni Lassila, Andrea Manzoni, Alfio Quarteroni, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based ApproachesGiorgio Gobat, Stefania Fresca, Andrea Manzoni, et al.
Plos One|October 1, 2020
Deep learning-based reduced order models in cardiac electrophysiologyStefania Fresca, Andrea Manzoni, Luca Dedè, et al.
Pacing and Clinical Electrophysiology : PACE|February 17, 2021
Data integration for the numerical simulation of cardiac electrophysiologyStefano Pagani, Luca Dede', Andrea Manzoni, et al.
Pageof 3