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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...
Autores principales: | Zapf, Bastian, Haubner, Johannes, Kuchta, Miroslav, Ringstad, Geir, Eide, Per Kristian, Mardal, Kent-Andre |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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