Investigating molecular transport in the human brain from MRI with physics-informed neural networks

Abstract In recent years, a plethora of methods combining neural networks and partial differential equations have been developed. A widely known example are physics-informed neural networks, which solve problems involving partial differential equations by training a neural network. We apply physics-...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Bastian Zapf, Johannes Haubner, Miroslav Kuchta, Geir Ringstad, Per Kristian Eide, Kent-Andre Mardal
Format: Article
Language:English
Published: Nature Portfolio 2022-09-01
Online Access:https://doi.org/10.1038/s41598-022-19157-w