Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
514
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-339
Recent Advances in Imaging Statistics: Bayesian Methods and Beyond — Contributed Papers
Section on Statistics in Imaging
Chair(s): Andrew Brown, Clemson University
10:35 AM
A Study of Some Alternative Statistical Methods for the Characterization of Tumor Risk Based on PET Imaging Data
—
Eric Wolsztynski, University College Cork ; Tian Mou, University College Cork ; Mark Muzi, UW-Radiology, Neurology & RadOnc ; Finbarr O'Sullivan, University College Cork
10:50 AM
Maximum Likelihood Features for Generative Image Models
—
Lo-Bin Chang, The Ohio State University ; Eran Borenstein, Microsoft Research ; Wei Zhang, Smartleaf, Cambridge ; Stuart Geman, Brown University
11:05 AM
Bayesian Spatial Tensor Regression for Neuroimages
—
Hossein Rekabdarkolaee ; Montserrat Fuentes, Virginia Commonwealth University
11:20 AM
Automated Tracking of Neuronal Outgrowth by Markov Chain Monte Carlo
—
Alvason Li, Fred Hutchinson Cancer Research Center ; Larry Corey, Fred Hutchinson Cancer Research Center ; Jia Zhu, Fred Hutchinson Cancer Research Center
11:35 AM
Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies
—
Zhaohua Lu, St Jude Children's Research Hospital ; Zakaria Khondke, University of North Carolina at Chapel Hill ; Joseph G Ibrahim, UNC ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:50 AM
Experimental Design in Longitudinal MRI for Multiple Sclerosis
—
Menghan Hu, Brown University ; Ani Eloyan, Brown University ; Matthew Schindler, NIH, NINDS ; Daniel Reich, NINDS ; Russell Taki Shionhara, UPenn ; Blake Dewey, Johns Hopkins Whiting School of Engineering
12:05 PM
CUSUM-Based Algorithm for Segmentation of Noisy Images with an Application to Optical Coherence Refractometry
—
John Lu, NIST ; Jeeseong Hwang, NIST ; Hong Chen, Baruch College, the City University of New York
12:05 PM
Floor Discussion