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An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

Datos Bibliográficos

ID23367448
AutoresRahul S Desikan (0000-0002-4151-6017, Boston University), Florent Ségonne (Massachusetts Institute of Technology), Bruce Fischl (0000-0002-2413-1115, Massachusetts General Hospital), Brian T Quinn (Massachusetts General Hospital), Bradford C Dickerson (0000-0002-5958-3445, Massachusetts General Hospital), Deborah Blacker (0000-0001-6107-7376, Massachusetts General Hospital), Randy L Buckner (0000-0001-6422-8037, Howard Hughes Medical Institute), Angela M Dale (0000-0002-6126-2966, University of California San Diego), Anders M Dale, R P Maguire (0000-0003-3937-6622, Pfizer (United States)), Bradley T Hyman (0000-0002-7959-9401, Massachusetts General Hospital), Marilyn Albert (0000-0002-8167-8985, Johns Hopkins University), Marilyn S Albert, Ronald Killiany (0000-0003-4740-2181, Boston University, autor de correspondencia), Ronald J Killiany
Año2006
Volumen31
Número3
Páginas968-980
Fecha de publicación2006-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaNeuroImage (JOURNAL)
Identificadores de la revistaISSN: 1053-8119 • E-ISSN: 1095-9572
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.neuroimage.2006.01.021
PMID16530430
OpenAlexW2101135654
IdiomaEN
Citas recibidas180
Referencias citadas54

Automated method · Cerebral cortex · Cortex (anatomy) · Human brain · Intraclass correlation · Magnetic resonance imaging · Pattern recognition (psychology) · Radiology · Region of interest · Reliability (semiconductor) · Reproducibility · Statistics · Advanced Neuroimaging Techniques and Applications · Artificial Intelligence · Computer Science · Functional Brain Connectivity Studies · Mathematics · Medical Image Segmentation Techniques · Medicine · Neuroscience · Psychology

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Obras citantes distintas180
Citas por año12,86
Intervalo de citas2012 - 2026 (15)
Velocidad de citacióncurrent
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Tipos de citaNeutras: 174
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae