Christine Keribin

A supervised clustering approach for fMRI-based inference of brain states

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior during a scanning session. Such...

A supervised clustering approach for extracting predictive information from brain activation images

SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis