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Contributed Papers

Statistical methods for tensors and connectivity matrices in imaging data

Tue, Aug 8, 8:30 AM

Cindy ZhangChair

Section on Statistics in Imaging

6 Presentations

BayesRCM: A Bayesian Random Covariance Model for Robust Connectivity Analysis in Multi-subject fMRI

8:35 AM - 8:50 AM

Quinton Neville (University of Minnesota)

Co-authors: Lin Zhang (University of Minnesota), Karina Quevedo (University of Minnesota, Dept. of Psychiatry)

Functional Factor Modeling of Brain Connectivity

8:50 AM - 9:05 AM

Kyle Stanley (Penn State University)

Co-authors: Nicole Lazar (Pennsylvania State University), Matthew Reimherr (Penn State)

Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data

9:05 AM - 9:20 AM

Zihang Wang (Emory University, Rollins School of Public Health)

Co-authors: Irina Gaynanova (Texas A&M University), Aleksandr Aravkin (University of Washington), Benjamin Risk

Heterogeneous federated latent transfer learning in Gaussian Graphical Models

9:20 AM - 9:35 AM

Qiong Wu (University of Pennsylvania)

Co-authors: Andrew Chen, Russell Shinohara (University of Pennsylvania), Haochang Shou (University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

High-dimensional Imaging-Genetics Analysis Using Bayesian Longitudinal Tensor Models

9:35 AM - 9:50 AM

Moumita Chakraborty

Co-authors: Alec Reinhardt, Xin Ma (Emory University, Rollins School of Public Health), Min Jin Ha, Suprateek Kundu

SKPD: A General Framework of Signal Region Detection in Image Regression

9:50 AM - 10:05 AM

Session participants

Benjamin Risk

Participant

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