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Automated brainstem segmentation detects differential involvement in atypical parkinsonian syndromes
Martina Bocchetta,Juan Eugenio Iglesias,Viorica Chelban,Edwin Jabbari,Ruth Lamb,Lucy L. Russell,Caroline V. Greaves,Mollie Neason,David M. Cash,David L. Thomas,Jason D. Warren,John Woodside,Henry Houl 대한파킨슨병및이상운동질환학회 2020 Journal Of Movement Disorders Vol.13 No.1
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.