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Connectivity-based Cortical Parcellation via Contrastive Learning on Spatial-Graph Convolution

Objective. Objective of this work is the development and evaluation of a cortical parcellation framework based on tractography-derived brain structural connectivity. Impact Statement. The proposed framework utilizes novel spatial-graph representation learning methods for solving the task of cortical...

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Detalles Bibliográficos
Autores principales:	You, Peiting, Li, Xiang, Zhang, Fan, Li, Quanzheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521716/ https://www.ncbi.nlm.nih.gov/pubmed/37850179 http://dx.doi.org/10.34133/2022/9814824

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