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Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains

Outliers in neuroimaging represent spurious data or the data of unusual phenotypes that deserve special attention such as clinical follow‐up. Outliers have usually been detected in a supervised or semi‐supervised manner for labeled neuroimaging cohorts. There has been much less work using unsupervis...

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Detalles Bibliográficos
Autores principales:	Ma, Zhiwei, Reich, Daniel S., Dembling, Sarah, Duyn, Jeff H., Koretsky, Alan P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley & Sons, Inc. 2021
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886649/ https://www.ncbi.nlm.nih.gov/pubmed/34957633 http://dx.doi.org/10.1002/hbm.25756

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