Cargando…
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2021
|
| Materias: | |
| 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 |