47
Mon, 8/3/2020,
10:00 AM -
2:00 PM
Virtual
Recent Development in Imaging Statistics — Contributed Papers
Section on Statistics in Imaging
Chair(s): Chao Huang, Florida State University
A Comparison of Angle-Based JIVE and Iterative JIVE
Raphiel Murden, Emory Univ, Rollins School of SPH ; Ying Guo, Emory University; Benjamin B Risk, Emory University
Scalar-On-Network Regression via Boosting
Emily L Morris, Department of Biostatistics, University of Michigan ; Jian Kang, University of Michigan
Incorporating Spatial Structure into Bayesian Spike-And-Slab Lasso GLMs
Justin Leach, University of Alabama at Birmingham ; Inmaculada Aban, University of Alabama at Birmingham; Nengjun Yi, University of Alabama at Birmingham
Permutation Testing for Function-On-Scalar Regression with PET Binding Data Along a Brain Tract
Denise Shieh, Columbia University ; Todd Ogden, Columbia University
Utilizing Baseline and Differential Information to Improve fMRI Brain Activation
Dan Rowe, Marquette University
Statistical Inference for Mean Functions of Functional Objects
Yueying Wang, Iowa State University ; Guannan Wang, College of William and Mary; Lily Wang, Iowa State University
A Bayesian Approach of Finding Fiber Orientation in Brain with Directional Prior
ANJAN MANDAL, UNIVERSITY OF NEVADA LAS VEGAS ; KAUSHIK GHOSH, UNIVERSITY OF NEVADA LAS VEGAS
A Mixture Modeling Approach to Image Normalization in Highly Multiplexed Cellular Imaging Data
Coleman Harris, Vanderbilt University Medical Center ; Eliot McKinley, Vanderbilt University Medical Center; Joseph Roland, Vanderbilt University Medical Center; Ken Lau, Vanderbilt University Medical Center; Robert Coffey, Vanderbilt University Medical Center; Simon Vandekar, Vanderbilt University
