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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Detalles Bibliográficos
Publicado en: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: The Korean Movement Disorder Society 2020
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Original Article
Acceso en liña: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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