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

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-informed...

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Detalles Bibliográficos
Autores principales: Zapf, Bastian, Haubner, Johannes, Kuchta, Miroslav, Ringstad, Geir, Eide, Per Kristian, Mardal, Kent-Andre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474534/
https://www.ncbi.nlm.nih.gov/pubmed/36104360
http://dx.doi.org/10.1038/s41598-022-19157-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474534/
https://www.ncbi.nlm.nih.gov/pubmed/36104360
http://dx.doi.org/10.1038/s41598-022-19157-w

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