Mathematical and Statistical Challenges in Neuroimaging Data Analysis
Videos from BIRS Workshop
Bei Jiang, University of Alberta
Monday Feb 1, 2016 14:37 - 15:09
Modeling Placebo Response using EEG data through a Hierarchical Reduced Rank Model
Daniel Rowe, Marquette University
Monday Feb 1, 2016 15:40 - 16:10
Statistical Analysis of Image Reconstructed Fully-Sampled and Sub-Sampled fMRI Data
Vikas Singh, University of Wisconsin-Madson
Monday Feb 1, 2016 17:08 - 17:48
A multi-resolution scheme for analysis of brain connectivity networks
Jie Peng, University of California, Davis
Monday Feb 1, 2016 17:52 - 18:15
Fiber orientation distribution function estimation by spherical needlets
Jaroslaw Harezlak, Indiana University
Tuesday Feb 2, 2016 11:19 - 11:50
Assessing uncertainty in dynamic functional connectivity
Jingwen Zhang, University of North Carolina at Chapel Hill
Tuesday Feb 2, 2016 13:12 - 13:29
HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics
Benjamin Risk, Statistical and Applied Mathematical Sciences Institute and University of North Carolina
Tuesday Feb 2, 2016 14:28 - 14:54
Large covariance estimation for spatial functional data with an application to twin studies
John Muschelli, Johns Hopkins University
Tuesday Feb 2, 2016 14:55 - 15:19
Processing Neuroimaging Data in R: Capabilities
Chao Huang, University of North Carolina at Chapel Hill
Tuesday Feb 2, 2016 15:21 - 15:51
FFGWAS: Fast Functional Genome Wide Association Study of Surface-based Imaging Genetic Data
Jeffrey Morris, The University of Texas M.D. Anderson Cancer Center
Wednesday Feb 3, 2016 09:47 - 10:17
Spatial Functional Models for Event-Related Potential Data, with Application to Smoking Cessation Study
Brian Hobbs, University of Texas MD Anderson Cancer Center
Wednesday Feb 3, 2016 10:44 - 11:20
Recent advances in cancer imaging
Jianhua Hu, University of Texas MD Anderson Cancer Center
Wednesday Feb 3, 2016 11:22 - 11:52
Analysis of spatially correlated functional data in tissue perfusion imaging
Shuo Chen, University of Maryland
Thursday Feb 4, 2016 09:41 - 10:21
Population level differentially expressed brain connectivity network detection and inferences
Yimei Li, St. Jude Children's Research Hospital
Thursday Feb 4, 2016 11:27 - 11:59
SGPP: Spatial Gaussian Predictive Process Models for Neuroimaging Data
Anuj Srivastava, Florida State University
Thursday Feb 4, 2016 14:19 - 14:55
Elastic Functional Data Analysis for Modeling Shapes of Anatomical Structures
Wei Pan, University of Minnesota
Thursday Feb 4, 2016 15:20 - 15:50
Testing for group differences in brain functional connectivity
Tingting Zhang, University of Virginia
Thursday Feb 4, 2016 16:31 - 17:07
Bayesian Inference of High-Dimensional, Cluster-Structured Ordinary Differential Equation Models with Applications to Brain Networks
Dana Cobzas, University of Alberta
Friday Feb 5, 2016 09:38 - 09:58
Sparse Classification for Significant Anatomy Detection in a Group Study
Matthew Brown, University of Alberta
Friday Feb 5, 2016 10:06 - 10:40
Opening the analysis black box: Improving robustness and interpretation
