Article
Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains.
Human brain mapping - 1 Apr 2022
Ma Zhiwei, Reich Daniel S, Dembling Sarah, Duyn Jeff H, Koretsky Alan P
Abstract excerpt
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 unsupervised outlier detection on large unlabeled cohorts like the UK Biobank brain imaging dataset. Given its large sample...
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