Region-informed machine learning model for choroid plexus segmentation in Alzheimer's disease.

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Bibliographic Details
Title: Region-informed machine learning model for choroid plexus segmentation in Alzheimer's disease.
Authors: Zhou L; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Butler TA; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Wang XH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Keil SA; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Hojjati SH; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Hu TW; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Savard M; Douglas Hospital Research Centre, Douglas Mental Health University Institute, Montreal, QC, Canada., Lussier FZ; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States., Rosa-Neto P; Departments of Neurology and Neurosurgery and Psychiatry, McGill University, Montreal, QC, Canada., Glodzik L; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., de Leon MJ; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Chiang GC; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States., Li Y; Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, New York, NY, United States.
Source: Frontiers in aging neuroscience [Front Aging Neurosci] 2025 Jul 23; Vol. 17, pp. 1613320. Date of Electronic Publication: 2025 Jul 23 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101525824 Publication Model: eCollection Cited Medium: Print ISSN: 1663-4365 (Print) Linking ISSN: 16634365 NLM ISO Abbreviation: Front Aging Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1663-4365
DOI:10.3389/fnagi.2025.1613320