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20162026
most citedLess is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing

41 citations · 50 across the 13 of their papers we have counts for

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Showing 2023Show all

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stat.ME2023

A robust multivariate, non-parametric outlier identification method for scrubbing in fMRI

Fatma Parlak, Damon D. Pham, Amanda F. Mejia

Functional magnetic resonance imaging (fMRI) data contain high levels of noise and artifacts. To avoid contamination of downstream analyses, fMRI-based studies must identify and re…