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Topic-Contributed Paper Session

Section on Statistics in Imaging Student Paper Award Winners

Tue, Aug 6, 2:00 PM - 3:50 PM

Dehan KongChair

Section on Statistics in Imaging

5 Presentations

Deep kernel learning based Gaussian processes for Bayesian image regression analysis

2:05 PM - 2:25 PM

DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data

2:25 PM - 2:45 PM

Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression

2:45 PM - 3:05 PM

Tong Lu (University of Maryland, College Park)

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

3:05 PM - 3:25 PM

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

Uncertainty Quantification of Object Boundaries Extracted from Spatial Point Pattern Images

3:25 PM - 3:45 PM

Jue Wang (University of California Davis)

Co-authors: Vinay Kashyap (Center for Astrophysics | Harvard & Smithsonian), Thomas Lee (University of California at Davis), David van Dyk (Imperial College London), Andreas Zezas (University of Crete)

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