Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural Networks

BACKGROUND: There is an unfulfilled need to find the best way to automatically capture, analyze, organize, and merge structural and functional brain magnetic resonance imaging (MRI) data to ultimately extract relevant signals that can assist the medical decision process at the bedside of patients in...

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Detalles Bibliográficos
Autores principales: Mattia, Giulia Maria, Sarton, Benjamine, Villain, Edouard, Vinour, Helene, Ferre, Fabrice, Buffieres, William, Le Lann, Marie-Veronique, Franceries, Xavier, Peran, Patrice, Silva, Stein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Big Data in Neurocritical Care
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343298/
https://www.ncbi.nlm.nih.gov/pubmed/35876960
http://dx.doi.org/10.1007/s12028-022-01525-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343298/
https://www.ncbi.nlm.nih.gov/pubmed/35876960
http://dx.doi.org/10.1007/s12028-022-01525-z

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