Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging

INTRODUCTION: Timely diagnosis of behavioral variant frontotemporal dementia (bvFTD) remains challenging because it depends on clinical expertise and potentially ambiguous diagnostic guidelines. Recent recommendations highlight the role of multimodal neuroimaging and machine learning methods as comp...

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Detalhes bibliográficos
Publicado no:Alzheimers Dement (Amst)
Main Authors: Donnelly-Kehoe, Patricio Andres, Pascariello, Guido Orlando, García, Adolfo M., Hodges, John R., Miller, Bruce, Rosen, Howie, Manes, Facundo, Landin-Romero, Ramon, Matallana, Diana, Serrano, Cecilia, Herrera, Eduar, Reyes, Pablo, Santamaria-Garcia, Hernando, Kumfor, Fiona, Piguet, Olivier, Ibanez, Agustin, Sedeño, Lucas
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2019
Assuntos:
Diagnostic Assessment & Prognosis
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6719282/
https://ncbi.nlm.nih.gov/pubmed/31497638
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dadm.2019.06.002
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