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481 * ! | Wed, 8/12/2015, 8:30 AM - 10:20 AM | CC-201 | |
Recent Advances in Independent Component Analysis with Applications to Imaging Studies — Topic Contributed Papers | |||
Section on Statistics in Imaging | |||
Organizer(s): Ying Guo, Emory University | |||
Chair(s): Ying Guo, Emory University | |||
8:35 AM | Group Parametric Independent Colored Sources: Detection of Hidden Brain Activities from Groups of High-Dimensional Neuroimaging Data — Dong Wang, The University of North Carolina at Chapel Hill ; Seonjoo Lee, Columbia University ; Haipeng Shen, The University of North Carolina at Chapel Hill ; Young Truong, The University of North Carolina at Chapel Hill | ||
8:55 AM | Independent Component Analysis for Large-Scale Discrete Data — Jian Kang, Emory University ; Ying Guo, Emory University | ||
9:15 AM | Multilevel Independent Component Analysis to Identify Functional Networks During Multiple Cognitive Tasks — Seonjoo Lee, Columbia University | ||
9:35 AM | Likelihood Component Analysis — Benjamin Risk, Cornell University ; David S. Matteson, Cornell University ; David Ruppert, Cornell University | ||
9:55 AM | Implications of Matrix Decomposition Methods in Analyzing Imaging Data — Ani Eloyan, The Johns Hopkins University |
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