Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications

The application of deep learning models to evaluate connectome data is gaining interest in epilepsy research. Deep learning may be a useful initial tool to partition connectome data into network subsets for further analysis. Few prior works have used deep learning to examine structural connectomes f...

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Detalles Bibliográficos
Autores principales: Maher, Christina, Tang, Zihao, D’Souza, Arkiev, Cabezas, Mariano, Cai, Weidong, Barnett, Michael, Kavehei, Omid, Wang, Chenyu, Nikpour, Armin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644981/
https://www.ncbi.nlm.nih.gov/pubmed/38025275
http://dx.doi.org/10.1093/braincomms/fcad294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644981/
https://www.ncbi.nlm.nih.gov/pubmed/38025275
http://dx.doi.org/10.1093/braincomms/fcad294

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