Automated Brainstem Segmentation Detects Differential Involvement in Atypical Parkinsonian Syndromes

OBJECTIVE: Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts. METHODS: We inv...

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Detalhes bibliográficos
Publicado no:J Mov Disord
Main Authors: Bocchetta, Martina, Iglesias, Juan Eugenio, Chelban, Viorica, Jabbari, Edwin, Lamb, Ruth, Russell, Lucy L., Greaves, Caroline V., Neason, Mollie, Cash, David M., Thomas, David L., Warren, Jason D., Woodside, John, Houlden, Henry, Morris, Huw R., Rohrer, Jonathan D.
Formato: Artigo
Idioma:Inglês
Publicado em: The Korean Movement Disorder Society 2020
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6987532/
https://ncbi.nlm.nih.gov/pubmed/31552724
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14802/jmd.19030
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