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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
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