statistical methods

We propose adaptive empirical pattern transformation (ADEPT), a fast, scalable, and accurate method for pattern segmentation in time-series.

We propose riPEER regularization method to estimate association between the brain structure features and a scalar outcome in a regression model while utilizing additional information about structural connectivity between the brain regions.