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Learning Cortical Parcellations Using Graph Neural Networks

Deep learning has been applied to magnetic resonance imaging (MRI) for a variety of purposes, ranging from the acceleration of image acquisition and image denoising to tissue segmentation and disease diagnosis. Convolutional neural networks have been particularly useful for analyzing MRI data due to...

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Detalles Bibliográficos
Autores principales: Eschenburg, Kristian M., Grabowski, Thomas J., Haynor, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739886/
https://www.ncbi.nlm.nih.gov/pubmed/35002611
http://dx.doi.org/10.3389/fnins.2021.797500