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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

536 Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West Hall B
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging
Chair(s): Paul McNicholas, McMaster University
64: ADAPT: a Dynamic Approach to Probability Thresholding Based on Healthy Controls
Alessandra Valcarcel, University of Pennsylvania; Russell T Shinohara, University of Pennsylvania
65: A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta
66: Big Data Visualization: User to Data Scientist
Dylan Martin, Purdue University; Vetria Byrd, Purdue University
67: Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
68: Switching Regimes Time Series Models with Application to Changes Brain Connectivity in an fMRI-Movie Experiment
Marco Antonio Pinto-Orellana, Statistics, CEMSE Division. King Abdullah University of Science and Technology; Chee-Ming Ting, King Abdullah University of Science and Technology; Jeremy Skipper, Institute for Multimodal Communication. University College London;  Steven Small, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
69: Estimation of the Linearity Point in Graphical Analysis
Anastasia Dmitrienko, Columbia University; Francesca Zanderigo, Columbia University; Yuichi Kimura, National Institute of Radiological Sciences; Robert Todd Ogden, Columbia University
70: Sparse Clustering for Network Data
Yura Kim, University of Michigan; Elizaveta Levina, University of Michigan
71: Automatic Extraction of Cell Nuclei from Pathological Images
Brendan Caseria, The University of Texas at Dallas; Alsadig Ali, The University of Texas at Dallas; Yan Cao, The University of Texas at Dallas; Yifei Lou, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
72: Analyzing Bias in Object Detection Data Sets
Meera Haridasa, Purdue University; Cailey Farrell, Purdue University
73: Fast Bayesian Sparse Learning via Thresholding Priors
Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan
74: Bayesian Nonparametric Estimation of the Spectral Density Function, with Applications to Spectral Analysis of EEG Data
Guillermo Cuauhtemoctzin Granados Garcia, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology; Mark Fiecas, University of Minnesota
75: An Automated Probabilistic Algorithm for the Detection of Central Vein Sign in Multiple Sclerosis
Jordan Dworkin, University of Pennsylvania; Pascal Sati, National Institute of Neurological Disorders and Stroke; Andrew Solomon, University of Vermont; Dzung Pham, Henry M. Jackson Foundation; Richard Watts, University of Vermont; Melissa Martin, University of Pennsylvania; Daniel Ontaneda, Cleveland Clinic; Matthew K Schindler, National Institute of Neurological Disorders and Stroke; Daniel S Reich, National Institute of Neurological Disorders and Stroke; Russell T Shinohara, University of Pennsylvania
76: Genetic Analysis of Imaging Data Using Random-Effect Tensor Regression
Tong Shen, University of California, Irvine
77: Adaptive designs in multi-reader multi-case clinical trials of imaging devices
Weijie Chen, FDA/CDRH; Zhipeng Huang, FDA/CDRH; Lucas Tcheuko, FDA/CTP; Frank Samuelson, FDA/CDRH