4 citations · 4 across the 3 of their papers we have counts for
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Robust normality transformation and outlier detection in diverse distributions, with application to functional neuroimaging data
Saranjeet Singh Saluja, Fatma Parlak, Amanda Mejia
Normality transformations improve conformity with parametric assumptions and, for outlier detection, facilitate parametric thresholds. However, transformation parameters must be es…
A robust multivariate, non-parametric outlier identification method for scrubbing in fMRI
Fatma Parlak, Damon D. Pham, Zeshawn Zahid +1
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…
Sources of residual autocorrelation in multiband task fMRI and strategies for effective mitigation
Fatma Parlak, Damon D. Pham, Daniel A. Spencer +2
In task fMRI analysis, OLS is typically used to estimate task-induced activation in the brain. Since task fMRI residuals often exhibit temporal autocorrelation, it is common practi…