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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Bibliografische gegevens
Gepubliceerd in:Alzheimers Dement (Amst)
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Elsevier 2019
Onderwerpen:
Diagnostic Assessment & Prognosis
Online toegang: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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