Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: imaging returned 65 record(s)
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Sunday, 07/31/2016
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Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University
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Assessing Genomic Risk for Learning Problems with Neuroimaging Data
Heping Zhang, Yale School of Public Health; Chintan Mehta, Yale University
2:05 PM
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Nonparametric Spatio-Temporal Analysis of Neuroimaging Data
Nathaniel Helwig, University of Minnesota - Twin Cities
2:30 PM
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Bayesian Feature Screening for Big Neuroimaging Data via Massively Parallel Computing
Jian Kang, University of Michigan
2:55 PM
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Joint Analysis of Brain Imaging Data and Genetics Data
Wenxuan Zhong, University of Georgia
3:20 PM
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Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X. K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM
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Exploiting Biology's Structure: Function Relationship to Improve Network Modeling in Neuroimaging
Barbara Wendelberger, University of Wisconsin - Madison; M. Elizabeth Meyerand, University of Wisconsin - Madison
4:35 PM
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A Joint Model for Assessing the Link Between Functional and Structural Brain Connectivity
Phebe Kemmer, Emory University; Ying Guo, Emory University
5:05 PM
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Functional Connectivity for Prediction and Classification: Characterization and Estimation
DuBois Bowman, Columbia University
5:20 PM
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A Low-Rank Covariance Estimation Methodology for Understanding Brain Connectivity
Siddhartha Nandy, Michigan State University; Chae Young Lim, Seoul National University; Tapabrata Maiti, Michigan State University
5:25 PM
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Monday, 08/01/2016
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Large-Scale MCMC Using GPU with Application in Brain Imaging
Yang Yang, University of Minnesota; Galin Jones, University of Minnesota - Twin Cities
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Tensor Regression with Functionally Linked Parameters
Su Chen, University of Memphis; Ebenezer Olusegun George, University of Memphis
9:50 AM
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Large-Scale MCMC Using GPU with Application in Brain Imaging
Yang Yang, University of Minnesota; Galin Jones, University of Minnesota - Twin Cities
11:45 AM
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Accounting for Nonignorable Missingness in Longitudinal Brain Imaging Studies
Anders Lundquist, Umea University; Michael Daniels, The University of Texas at Austin; Xavier de Luna, Umea University; Lars Nyberg, Umea University
11:50 AM
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Flexible Functional Regression Methods for Estimating Individualized Treatment Regimes
Adam Ciarleglio, Columbia University; Eva Petkova, New York University; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University
12:05 PM
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FVGWAS: Fast Voxelwise Genome-Wide Association Analysis of Large-Scale Imaging Genetic Data
Hongtu Zhu, The University of North Carolina at Chapel Hill
2:05 PM
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Topological Methods for fMRI Data
Adam Jaeger, Duke University; Ezra Miller, Duke University
2:05 PM
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Sparse Mediation Analysis for High-Dimensional Mediators with Application of Neuroimaging and Methylation Data
Seonjoo Lee, Columbia University
2:05 PM
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Multivariate Pattern Analysis and Confounding in Neuroimaging
Kristin Linn, University of Pennsylvania; Bilwaj Gaonkar, University of California at Los Angeles; Jimit Doshi, University of Pennsylvania; Christos Davatzikos, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
2:50 PM
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Linking Image-Derived Radiophenotypes with Genomic Expression in Glioblastoma
Arvind Rao, MD Anderson Cancer Center
3:05 PM
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Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California at Berkeley; Lexin Li, University of California at Berkeley
3:05 PM
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Nonparametric Estimation and Classification for Functional Data with Spatial Correlation
Yuan Wang, Washington State University; Brian Hobbs, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center
3:20 PM
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Bayesian Feature Selection for Ultra-High-Dimensional Imaging Genetics Data
Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Hongtu Zhu, The University of North Carolina at Chapel Hill; Fei Zou, University of Florida
3:25 PM
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Tuesday, 08/02/2016
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Statistical Tools for Clinical Neuroimaging
Ciprian Crainiceanu, The Johns Hopkins University
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A Two-Step Approach to Analyze Longitudinal Structural Neuroimaging Data
Li Xing, Indiana University; Shanshan Li, Indiana University Fairbanks School of Public Health; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health
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Topological Tools for the Classification of Breast Cancer from Histology Images
Patrick Medina, Purdue University; Rebecca W. Doerge, Purdue University
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Identification of Solids in Hyperspectral Images Using Spectral Features from Gaussian Basis Functions
Cory Lanker, Lawrence Livermore National Laboratory; Milton O. Smith, Lawrence Livermore National Laboratory
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Prediction of Lung Cancer Risk in the CT Arm of the National Lung Screening Trial
Menghan Hu, Brown University; Fenghai Duan, Brown University
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Prediction of Lung Cancer Risk in the CT Arm of the National Lung Screening Trial
Menghan Hu, Brown University; Fenghai Duan, Brown University
8:40 AM
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New Tools and Methods for Power Analyses in Neuroimaging
Joke Durnez, Stanford University
8:55 AM
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Using Meta-Analysis to Enhance Power and Replicability in Neuroimaging Research: Current Practices and Open Opportunities
Tor D. Wager, University of Colorado Boulder
9:15 AM
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Measurement Error Correction Through Shrinkage Estimation in Imaging Analysis
Haochang Shou, University of Pennsylvania; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Ciprian Crainiceanu, The Johns Hopkins University; James Pekar, Kennedy Krieger Institute; Stewart Mostofsky, Kennedy Krieger Institute
9:20 AM
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Computerintensive Validation of Meta-Analysis in Neuroimaging
Ruth Seurinck, Ghent University; Han Bossier, Ghent University; Freya Acar, Ghent University; Simone Kuehn, MPI for Human Development; Beatrijs Moerkerke, Ghent University
9:35 AM
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Applying Kernel Density Estimation of Directional Data to Analyze Head Flatness and Asymmetry
Lasse Holmstrom, University of Oulu; Ville Vuollo, University of Oulu; Henri Aarnivala, University of Oulu; Virpi Harila, University of Oulu; Tuomo Heikkinen, University of Oulu; Pertti Pirttiniemi, University of Oulu; Arja Marita Valkama, University of Oulu
9:35 AM
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Evaluation of Magnetic Resonance Imaging (MRI) Parameters as Biomarkers in Alzheimer's Disease
Leacky Muchene, Hasselt University; Ziv Shkedy, Hasselt University; Luc Kamau Bijnens, Janssen; Nikolay Manyakov, Janssen; Tom Van De Kasteel, Janssen; Tom Jacobs, Janssen; Marleen Kamau Verhoye, Antwerp University; Jelle Praet, Antwerp University; Annemie Van der Linden, Antwerp University; Astrid Bottelbergs, Janssen; Mark Schmidt, Janssen; Darrel Pemberton, Janssen
10:50 AM
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Scaling-Rotation Framework of Symmetric Positive-Definite Matrices and Applications to Diffusion Tensor Imaging
Sungkyu Jung, University of Pittsburgh; Armin Schwartzman, University of California at San Diego; David Groisser, University of Florida
11:00 AM
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Spatial Large-Margin Angle-Based Classifier for Multi-Category Neuroimaging Data
Leo Yu-Feng Liu, The University of North Carolina at Chapel Hill; Yufeng Liu, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
2:05 PM
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Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM
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Optimal Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging
Shulei Wang, University of Wisconsin - Madison; Jianqing Fan, Princeton; Ming Yuan, University of Wisconsin
2:25 PM
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Spatiotemporal Mixed Modeling of Multi-Subject fMRI via Method of Moments
Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; David Matteson, Cornell University; R. Nathan Spreng, Cornell University; David Ruppert, Cornell University
2:45 PM
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Papayar: A Better Interactive Neuroimage Plotter in R
John Muschelli, The Johns Hopkins University
2:50 PM
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Wednesday, 08/03/2016
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The Key Role of Statistics in Neuroimaging: Challenges and Opportunities
DuBois Bowman, Columbia University
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Quantifying Functional Connectivity with Data-Adaptive Covariance Matrices for Multivariate Functional Data
Alexander Petersen, University of California at Davis; Hans-Georg Mueller, University of California at Davis
8:55 AM
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Tensor Canonical Correlation Analysis
Hua Zhou, University of California at Los Angeles
9:15 AM
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Historical Functional Cox Regression, with an Application to Prediction of Multiple Sclerosis Lesions
Philip Reiss, New York University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Jonathan Gellar, Mathematica Policy Research
9:15 AM
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A Joint Modeling Approach for Treatment Response and Baseline Imaging Data
Bei Jiang; Eva Petkova, New York University; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University
9:15 AM
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HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics
Jingwen Zhang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
9:35 AM
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Statistical Analysis of Magnetic Resonance Imaging--Based Tumor Heterogeneity Density Profiles in Glioblastoma
Abhijoy Saha, The Ohio State University; Sayantan Banerjee, MD Anderson Cancer Center; Sebastian A. Kurtek, The Ohio State University; Shivali Narang, MD Anderson Cancer Center; Ganesh Rao, MD Anderson Cancer Center; Juan Martinez, BrainLAB; Karthik Bharath, University of Nottingham; Arvind Rao, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
10:35 AM
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The Interplay Between Sample Size and Reproducibility of Results in fMRI Studies
Han Bossier, Ghent University; Ruth Seurinck, Ghent University; Sanne Roels, Ghent University; Simone Kuehn, MPI for Human Development; Jean-Baptiste Poline, University of California at Berkeley; Beatrijs Moerkerke, Ghent University
11:20 AM
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Removing Inter-Subject Technical Variability in Magnetic Resonance Imaging Studies
Jean-Philippe Fortin, The Johns Hopkins University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; John Muschelli, The Johns Hopkins University; Ciprian Crainiceanu, The Johns Hopkins University; Russell Shinohara, University of Pennsylvania
11:50 AM
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Classifying Dementia Based on Volumetric MRI
John Kornak, University of California at San Francisco
12:05 PM
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Thursday, 08/04/2016
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Statistical Segmentation of Multiple Sclerosis Lesions on Structural Magnetic Resonance Images
Ciprian Crainiceanu, The Johns Hopkins University
8:35 AM
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Statistical Considerations in Evaluating Radiological Imaging Devices in FDA/CDRH
Qin Li, FDA/CDRH
8:55 AM
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Longitudinal Functional Data Analysis
So-Young Park, North Carolina State University; Ana-Maria Staicu, North Carolina State University
9:05 AM
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Interpretable High-Dimensional Inference via Score Maximization with an Application in Neuroimaging
Simon Vandekar, University of Pennsylvania; Philip Reiss, New York University; Russell Shinohara, University of Pennsylvania
9:20 AM
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Imaging Information Chaos: The Consequences of More Complete Imaging and Less Complete Understanding
David Raunig, ICON Medical Imaging
9:20 AM
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Development of a Neuroimaging Biomarker for Lesion Recovery in Multiple Sclerosis
Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Michelle Ross , University of Pennsylvania; John Muschelli, The Johns Hopkins University; Benjamin Risk , Statistical and Applied Mathematical Sciences Institute; Daniel Reich , National Institute of Neurological Disorders and Stroke; Ani Eloyan , Brown University; Ciprian Crainiceanu, The Johns Hopkins University; Russell Shinohara, University of Pennsylvania
9:25 AM
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Imputing Missing Values for Neuroimaging Data Based on Principal Component Analysis
Lan Kong, Penn State University College of Medicine; Menghan Li, Penn State University College of Medicine
9:35 AM
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Statistical Methods for Global and Subnetwork Connectomic Analyses
Russell Shinohara, University of Pennsylvania; Simon Vandekar, University of Pennsylvania
9:50 AM
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Multiple Endpoint Evaluation in Diagnostic Medical Imaging: Analyses, Labeling, and Claims
Camille Vidal, GE Healthcare
9:55 AM
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Estimation for Bivariate Quantile Varying Coefficient Model
Linglong Kong, University of Alberta; Haoxu Shu, University of Alberta; Chad He, Fred Hutchinson Cancer Research Center; Giseon Heo, University of Alberta; Martin Styner, The University of North Carolina at Chapel Hill; John Gilmore, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
9:55 AM
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Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities
Ivo Dinov, Statistics Online Computational Resource
10:05 AM
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Statistical Considerations Regarding Evaluation of Test-Retest Reliability in Positron Emission Tomography (PET) Imaging
Richard Baumgartner, Merck; Dai Feng, Merck; Aniket Joshi, Novartis
10:35 AM
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Statistical Methods for Computer Algorithm Comparisons in Quantitative Imaging Biomarkers
Huiman Barnhart, Duke University
11:15 AM
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Statistical Methods for Assessing Reproducibility in Multicenter Neuroimaging Studies
Ying Guo, Emory University; Tian Dai, Emory University; Limin Peng, Emory University; Amita Manatunga, Emory University
11:35 AM
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