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243 Mon, 8/4/2014, 2:00 PM - 3:50 PM CC-207
Novel Statistical Methods in Brain Imaging — Contributed Papers
Section on Statistics in Imaging , Section on Physical and Engineering Sciences
Chair(s): Daniel Rowe, Marquette University   
2:05 PM Signal Discrimination Without Denoising Ferebee Tunno, Arkansas State University ; Ashton Erwin, Arkansas State University
2:20 PM Adaptive Tensor Regression in Neuroimaging Data Analysis Yan Zhang, North Carolina State University
2:35 PM A Quantitative Approach to the Diagnosis of Head Injuries Through a Spatio-Temporal Model of the Electrophysiological Assessment of Working Memory Pavel Chernyavskiy, University of Nebraska-Lincoln ; Caitlin M. Hudac, University of Nebraska-Lincoln ; Dennis L. Molfese, University of Nebraska-Lincoln ; David B. Marx, University of Nebraska
2:50 PM Analysis of Multi-Modality Neuroimaging Data Zhou Li
3:05 PM A Bayesian Cox Proportional-Hazards Regression with Functional Covariates Eunjee Lee ; Joseph Ibrahim, University of North Carolina ; Hongtu Zhu, University of North Carolina at Chapel Hill
3:20 PM Fast Joint Estimation and Selection of Mixture Models via Model Averaging: Application to Diffusion Compartment Imaging of the White Matter Microstructure Aymeric Stamm, Harvard Medical School/Boston Children's Hospital ; Olivier Commowick, Visages INSERM/INRIA U746, IRISA - UMR CNRS 6074, Rennes, France ; Patrick PĂ©rez, Technicolor ; Christian Barillot, Visages INSERM/INRIA U746, IRISA - UMR CNRS 6074, Rennes, France ; Simon K. Warfield, Harvard Medical School/Boston Children's Hospital
3:35 PM Regression Models for Manifold-Valued Data from Longitudinal Studies Emil Cornea, University of North Carolina at Chapel Hill ; Hongtu Zhu, University of North Carolina at Chapel Hill ; Joseph Ibrahim, University of North Carolina



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