Statistical Challenges for Complex Brain Signals and Images
Videos from CMO Workshop
Duygu Tosun, University of California - San Francisco
Monday May 1, 2023 09:20 - 10:27
Case Study 1
Moo Chung, University of Wisconsin-Madison
Monday May 1, 2023 11:30 - 11:58
The power of topological method in the presence of large noise
Armin Schwartzman, University of California, San Diego
Monday May 1, 2023 12:00 - 12:34
Spatial confidence regions for excursion sets
Jun Young Park, University of Toronto
Monday May 1, 2023 14:30 - 14:55
A fast and powerful spatial-extent inference for testing variance components in reliability and heritability studies
Claudia Kirch, Otto-von-Guericke University of Magdeburg
Monday May 1, 2023 15:00 - 15:29
Scan statistics for the detection of anomalies in large image data
Robert Krafty, Emory University
Monday May 1, 2023 16:00 - 16:29
Covariate-Guided Mixture of Multivariate Time Series Experts for Interpretable Analysis of fNIRS Data
Shuo Chen, University of Maryland
Tuesday May 2, 2023 09:30 - 09:58
Multilayer network model for joint analysis of structural brain imaging vector and functional connectome matrix
Jian Kang, University of Michigan
Tuesday May 2, 2023 10:00 - 10:29
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
Timothy D. Johnson, University of Michigan
Tuesday May 2, 2023 11:00 - 11:30
Bayesian analysis of fMRI for presurgical planning
Rebecca Killick, Lancaster University
Tuesday May 2, 2023 11:30 - 11:55
Detecting changes in covariance using Random Matrix Theory
Robert Lund, The University of California, Santa Cruz
Tuesday May 2, 2023 12:00 - 12:25
Correlated Statistical Count Structures
Marina Vannucci, Rice University
Tuesday May 2, 2023 14:00 - 14:26
Gaussian Process Regression Models for the Analysis of Event-Related Potentials
Michele Guindani, University of California Irvine
Wednesday May 3, 2023 09:00 - 09:37
A Bayesian Time-Varying Psychophysiological Interaction (PPI) Model
Norbert Fortin, University of California Irvine
Wednesday May 3, 2023 09:30 - 10:28
Case Study 1 - Complex time series signals in the brain: extracting more information from local field potential activity
Chee Ming Ting, Monach University Malaysia
Thursday May 4, 2023 09:00 - 09:35
Low-rank and sparse decomposition for brain functional connectivity in naturalistic fMRI data
John Kornak, University of California San Francisco
Thursday May 4, 2023 11:00 - 11:30
Modeling longitudinal trajectories of dementia brain changes
Amanda Mejia, Indiana University
Thursday May 4, 2023 12:00 - 12:31
Accurate estimation of individual functional brain connectivity and topology via ICA with empirical population priors
Thomas Nichols, University of Oxford
Friday May 5, 2023 09:00 - 09:38
Relative Risk Regression for Longitudinal Binary-Valued Neuroimaging Data
Jaroslaw Harezlak, Indiana University
Friday May 5, 2023 10:00 - 10:30
Biclustering Multivariate Longitudinal Data with Application to Recovery Trajectories of White Matter After Sport-Related Concussion
