Modern Statistical Methods for Image Analysis

Sun, Aug 4, 2:00 PM - 3:50 PM

Simon VandekarChair

Section on Statistics in Imaging

6 Presentations

A Chi-Square Type Test for Time-Invariant Fiber Pathways of the Brain

2:05 PM - 2:20 PM

Lyudmila Sakhanenko (Michigan State University)

Co-authors: Juna Goo (Boise State University), David C Zhu (Michigan State University)

A High-Dimensional Latent Regression Item Response Model for Psychometric-Neuroimaging Association Studies

2:20 PM - 2:35 PM

Xiaohang Mei

Analysis of Independent and Correlated Imaging Features using Scalar-on-matrix Regression

2:35 PM - 2:50 PM

Jeremy Rubin (University of Pennsylvania)

Co-authors: Fan Fan (Department of Biomedical Engineering, Emory University and Georgia Institute of Technology), Laura Barisoni (Division of AI and Computational Pathology, Department of Pathology, Duke University), Andrew Janowczyk (Department of Biomedical Engineering, Emory University), Jarcy Zee (University of Pennsylvania)

Generalized Linear Mixed Model with Matrix Response of Brain Imaging Data

2:50 PM - 3:05 PM

Zhentao Yu

Co-authors: Quefeng Li (University of North Carolina Chapel Hill)

Microstructural Quantile Profile for White Matter Tracts

3:05 PM - 3:20 PM

Zhou Lan (Brigham and Women's Hospital, Harvard Medical School)

Co-authors: Lauren O'Donnell (Brigham and Women's Hospital, Harvard Medical School)

Semiparametric confidence sets for arbitrary effect sizes in longitudinal neuroimaging

3:20 PM - 3:35 PM

Xinyu Zhang

Co-authors: Kenneth Liao (Vanderbilt University Medical Center), Maureen McHugo (University of Colorado Medicine), Anna Huang (Vanderbilt University Medical Center), Kristan Armstrong (Vanderbilt University Medical Center), Suzanne Avery (Vanderbilt University Medical Center), Stephan Heckers (Vanderbilt University Medical Center), Simon Vandekar (Vanderbilt University)