Deep learning-based reduced order models in cardiac electrophysiology

2 June 2020

Papers citing "Deep learning-based reduced order models in cardiac electrophysiology"

8 / 8 papers shown

Title
Learning cardiac activation and repolarization times with operator learning Edoardo Centofanti Giovanni Ziarelli N. Parolini Simone Scacchi M. Verani L. Pavarino AI4CE 29 0 0 13 May 2025
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 30 4 0 04 Aug 2023
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 33 48 0 05 Aug 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes C. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 29 21 0 13 Feb 2022
Deep-HyROMnet: A deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs Ludovica Cicci S. Fresca Andrea Manzoni AI4CE 12 25 0 05 Feb 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification Lia Gander Simone Pezzuto A. Gharaviri Rolf Krause P. Perdikaris F. Sahli Costabal 8 13 0 15 Dec 2021
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models S. Fresca Andrea Manzoni AI4CE 18 36 0 10 Jun 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 18 212 0 28 Jan 2021