An independent component analysis based tool for exploring functional connections in the brain. - S. M. Rolfe; L. Finney; Rosalia F. Tungaraza; J. Guan; Linda G. Shapiro; James F. Brinkley; Andrew V. Poliakov; Natalia M. Kleinhans; E. Alyward (Image Processing, 2009)

A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps. - Rosalia F. Tungaraza; J. Guan; S. M. Rolfe; Indriyati Atmosukarto; Andrew V. Poliakov; Natalia M. Kleinhans; Elizabeth H. Aylward; Jeffrey G. Ojemann; James F. Brinkley; Linda G. Shapiro (Image Processing, 2009)

Information-Theoretic Based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data. - Chun-An Chou; Kittipat Kampa; Sonya H. Mehta; Rosalia F. Tungaraza; Wanpracha Art Chaovalitwongse; Thomas J. Grabowski (Brain Informatics, 2012)

Parcellation of human inferior parietal lobule based on diffusion MRI. - Bilge Soran; Zhiyong Xie; Rosalia F. Tungaraza; Su-In Lee; Linda G. Shapiro; Thomas J. Grabowski (EMBC, 2012)

Identifying the structural architecture of the human inferior parietal lobule using diffusion MRI. - Rosalia F. Tungaraza; J. Jeffry Howbert; Sonya H. Mehta; David R. Haynor; Linda G. Shapiro; Thomas J. Grabowski (ISBI, 2012)

Multi-subject connectivity-based parcellation of the human IPL using Gaussian mixture models and hidden Markov random fields. - Erzhuo Wang; Rosalia F. Tungaraza; David R. Haynor; Thomas J. Grabowski (ISBI, 2013)

Homology and topology based metrics for evaluating cortical parcellations generated using diffusion MRI. - Rosalia F. Tungaraza; Sonya H. Mehta; Thomas J. Grabowski (EMBC, 2014)

Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Data for Prediction of Neural Response to Visual Stimuli. - Chun-An Chou; Kittipat Kampa; Sonya H. Mehta; Rosalia F. Tungaraza; W. Art Chaovalitwongse; Thomas J. Grabowski (IEEE Trans. Medical Imaging, 2014)

Anatomically Informed Metrics for Connectivity-Based Cortical Parcellation From Diffusion MRI. - Rosalia F. Tungaraza; Sonya H. Mehta; David R. Haynor; Thomas J. Grabowski (IEEE J. Biomed. Health Informatics, 2015)