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cs.LG2025
-PINNs: physics-informed neural networks on complex geometries
Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
Physics-informed neural networks (PINNs) have demonstrated promise in solving forward and inverse problems involving partial differential equations. Despite recent progress on expa…
cs.LG2024
Ensemble learning of the atrial fiber orientation with physics-informed neural networks
EfraÃn Magaña, Simone Pezzuto, Francisco Sahli Costabal
The anisotropic structure of the myocardium is a key determinant of the cardiac function. To date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We re…