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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

135 * ! Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-507
Applications of Machine Learning Methods to Imaging Data Analysis — Contributed Papers
Section on Statistics in Imaging
Chair(s): Taylor Brown, University of Virginia
8:35 AM Detecting fMRI Brain Activation via Neural Networks

Daniel Rowe, Marquette University
8:50 AM On Predictability and Reproducibility of Individual Functional Connectivity Networks from Clinical Characteristics

Emily Morris, University of Michigan; Jian Kang, University of Michigan
9:05 AM Machine Learning Algorithms for Automatic Identification of Limnonectes Species Using Image Data

Li Xu, Virginia Tech; Eric Smith, Virginia Tech; Yili Hong, Virginia Tech; David McLeod, James Madison University
9:20 AM Group Non-Gaussian Component Analysis for Neuroimaging

Yuxuan Zhao, Cornell University; David Matteson, Cornell University; Mary Beth Nebel, Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute; Benjamin Risk, Emory University
9:35 AM Using Constrained Clustering to Partition Functional MRI Signals Spatiotemporally to Recognize Brain Pattern and BOLD Signals

Aixin Zhang, University of Colorado Denver; Erin Austin, University of Colorado Denver
9:50 AM Statistical Analysis of Data Reproducibility Measures

Zeyi Wang, Johns Hopkins University; Joshua Vogelstein, Johns Hopkins University; Brian Caffo, Johns Hopkins Bloomberg School of Public Health
10:05 AM Bayesian Spatial Variable Selection Methods for Improved Detection of Neural Activation in fMRI
Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University