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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Bibliographic Details
Main Authors: Kristian M. Eschenburg, Thomas J. Grabowski, David R. Haynor
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.797500/full