Birs- 23w5030: Statistical Challenges for Complex Brain Signals and Images
-
Title: Individualized spatial topology in functional neuroimaging
Speaker:
Link:
-
Title: Scan statistics for the detection of anomalies in large image data
Speaker:
Link:
-
Title: Supervised Learning for Estimating Multi-Compartment T2 distributions from MR Data on Brain Tissue
Speaker:
Link:
-
Title: Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
Speaker:
Link:
-
Title: Bayesian analysis of fMRI for presurgical planning
Speaker:
Link:
-
Title: Spatial confidence regions for excursion sets
Speaker:
Link:
-
Title: The power of topological method in the presence of large noise
Speaker:
Link:
-
Title: A fast and powerful spatial-extent inference for testing variance components in reliability and heritability studies
Speaker:
Link:
-
Title: Supervised Learning for Estimating Multi-Compartment T2 distributions from MR Data on Brain Tissue
Speaker:
Link:
-
Title: Multilayer network model for joint analysis of structural brain imaging vector and functional connectome matrix
Speaker:
Link:
-
Title: Detecting changes in covariance using Random Matrix Theory
Speaker:
Link:
-
Title: Gaussian Process Regression Models for the Analysis of Event-Related Potentials
Speaker:
Link:
-
Title: Low-rank and sparse decomposition for brain functional connectivity in naturalistic fMRI data
Speaker:
Link:
-
Title: Methodologies of functional time series with possible applications to neuroscience
Speaker:
Link:
-
Title: Modeling longitudinal trajectories of dementia brain changes
Speaker:
Link:
-
Title: Accurate estimation of individual functional brain connectivity and topology via ICA with empirical population priors
Speaker:
Link:
-
Title: Relative Risk Regression for Longitudinal Binary-Valued Neuroimaging Data
Speaker:
Link: