PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

DOI10.1137/21M1438529zbMath1497.65212OpenAlexW3204716857WikidataQ114073992 ScholiaQ114073992MaRDI QIDQ5864684

Stefano Pagani, Simone Deparis, Riccardo Tenderini, Alfio M. Quarteroni

Publication date: 8 June 2022

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/21m1438529

zbMATH Keywords

partial differential equationsinverse problem of electrocardiographyphysics-informed deep learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)

Related Items

Branched latent neural maps ⋮ Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations

Uses Software

• redbKIT
• DeepONet

Cites Work

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