Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
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
