Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Imaging returned 67 record(s)
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Sunday, 07/28/2019
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Radiomic Analysis of Computed Tomography (CT) of the Lung -- Useful Biomarker for Lung Diseases?
Nichole E Carlson, University of Colorado Anschutz; Sarah Ryan; Tasha Fingerlin, National Jewish Health; Lisa Maier, National Jewish Health
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Neuroconductor: An R Platform for Medical Imaging Analysis
Ciprian Crainiceanu, Johns Hopkins University
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An Overview of Functional Magnetic Resonance Imaging: Big Data Meets the Brain
Nicole Lazar, University of Georgia
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A Simple and Consistent Estimator of Variance Explained for Vertex-Wide Structural Brain Imaging
Wesley Kurt Thompson, University of California, San Diego
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Nonparametric Model for a Tensor Field Based on HARDI
Lyudmila Sakhanenko, Michigan State University; Michael DeLaura, Michigan State University; David Zhu, Michigan State University
2:05 PM
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Radiologic Image-Based Statistical Shape Analysis of Brain Tumors
Sebastian Kurtek, Ohio State University; Karthik Bharath, University of Nottingham; Arvind Rao, University of Michigan; Veera Baladandayuthapani, University of Michigan
2:20 PM
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Simultaneous Confidence Corridors for Mean Functions in Functional Data Analysis of Imaging Data
Yueying Wang, Iowa State University; Guannan Wang, College of William and Mary; Li Wang, Iowa State University; Todd Ogden, Columbia University
2:35 PM
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Lower Bounds for Accuracy of Estimation in High Angular Resolution Diffusion Imaging Data
Chitrak Banerjee, Michigan State University; Lyudmila Sakhanenko, Michigan State University
3:35 PM
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Neuronal Functional Connectivity Graph Estimation from Nonsimultaneous Recordings
Giuseppe Vinci, Rice University; Gautam Dasarathy, Arizona State University; Genevera Allen, Rice University
4:45 PM
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Monday, 07/29/2019
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Extension of Integral Curves Estimation to a Time-Dependent Tensor Field Model
Juna Goo, Michigan State University, Department of Statistics and Probability; Lyudmila Sakhanenko, Michigan State University
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Data Monitoring and Quality Control for Disease Growth in Longitudinal Medical Imaging Data
Kari Sorge, UCLA; Grace Kim, UCLA; Jihey Lee, UCLA
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Nonparametric Matrix Response Regression with Application to Calcium Imaging
Dehan Kong, University of Toronto
8:35 AM
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Master Protocol and Designs for Setting Where Randomized Controlled Trials Are Not Feasible*
Sue-Jane Wang, Center for Drug Evaluation and Research U.S. Food and Drug Administration
8:55 AM
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Geostatistical Modeling of Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Dipankar Bandyopadhyay, Virginia Commonwealth University; Brian Reich, North Carolina State University; Zhou Lan, North Carolina State University; Joseph Guinness, Cornell University
9:00 AM
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Sparse Learning and Structure Identification for Ultra-High-Dimensional Image-On-Scalar Regression
Xinyi Li, SAMSI; Li Wang, Iowa State University; Huixia Judy Wang, The George Washington University
9:15 AM
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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
9:20 AM
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Optimal Estimation in Quantile Functional Regression with Application in Imaging Genetics
Linglong Kong, University of Alberta
9:25 AM
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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
9:50 AM
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Bayesian Hierarchical Latent Variable Model for Time-Varying Connectivity Analysis of Local Field Potentials
Dustin Pluta, University of California Irvine; Lingge Li, University of California, Irvine; Klaus Telkmann, University of California Irvine; Gabriel Elias, University of California, Irvine; Norbert Fortin, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Babak Shahbaba, University of California Irvine
11:20 AM
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Relationship Between Obuchowski-Rockette and Gallas U-Statistic Methods for Analyzing Multi-Reader Diagnostic Imaging Data
Stephen Hillis, University of Iowa
2:05 PM
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Assigning Readers to Cases in Multi-Reader Multi-Case Imaging Studies Using Balanced Incomplete Block Designs
Erich Huang, National Cancer Institute
2:25 PM
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Using Neuroimaging to Study Pain
Martin Lindquist, Johns Hopkins University
3:05 PM
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Adaptive Design and Analysis of Multi-Reader Multi-Case Studies
Weijie Chen, Food and Drug Administration; Zhipeng Huang, FDA/CDER; Frank Samuelson, FDA/CDRH; Lucas Tcheuko, FDA/CTP
3:05 PM
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Dynamic Tensor Response Regression for Early Diagnosis of Alzheimer’s Disease
Jie Zhou; Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
3:20 PM
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Brain Connectivity-Informed Adaptive Regularization for Generalized Outcomes
Jaroslaw Harezlak, Indiana University School of Public Health; Damian Brzyski, Wroclaw Technological University; Marta Karas, Johns Hopkins School of Public Health; Beau Ances, Washington University School of Medicine; Joaquin Goni, Purdue University; Mario Dzemidzic, Indiana University School of Medicine; Timothy Randolph, Fred Hutchinson Cancer Research Center
3:25 PM
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Tuesday, 07/30/2019
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Prediction of Pediatric Emergency Department X-Ray and CT Utilization in the United States
Xingyu Zhang, University of Michigan; Sheng Yang, University of Michigan; Pau Medrano-Gracia, University of Auckland; Konrad Werys, University of Oxford; Prashant Mahajan, University of Michigan
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Survival Analysis for Medical Imaging Data
Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
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Clustering and Classification of Exocytic Events
Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
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Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
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Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data
Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
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Semiparametric Estimation Under Shape Invariance for fMRI Data
Nicole Lazar, University of Georgia
9:25 AM
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Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
9:30 AM
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A Spatial Bayesian Modeling Approach for Cortical Surface fMRI Data Analysis
Amanda Mejia, IU; Yu Yue, The City University of New York; David Bolin, University of Gothenburg; Finn Lindgren, University of Edinburgh; Martin Lindquist, Johns Hopkins University
9:35 AM
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Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data
Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:40 AM
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Survival Analysis for Medical Imaging Data
Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
9:55 AM
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Clustering and Classification of Exocytic Events
Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:10 AM
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A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
10:50 AM
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Data Integration Using Joint and Individual Non-Gaussian Component Analysis
Benjamin Risk, Emory University; Irina Gaynanova, Texas A&M Univeristy
10:55 AM
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Prediction from Networks with Node Features with Application to Neuroimaging
Daniel Kessler, University of Michigan; Elizaveta Levina, University of Michigan; Keith Levin, University of Michigan
3:20 PM
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Wednesday, 07/31/2019
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Using R to Conduct Retrospective Analyzes of EHR and Imaging Data: a Case Study in MS
Melissa Martin, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
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A Bayesian Method for Clustering Diffusion Tensors Using Mixture of Von Mises Fisher Distribution
Siddhesh Kulkarni, University of Louisville; Subhadip Pal, University of Louisville
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Bivariate Hierarchical Bayesian Model for Combining Estimates from Multiple Sources and Domains
Yujing Yao, Columbia University; Todd Ogden, Columbia University; Qixuan Chen, Columbia University
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A Local Group Differences Test for Subject-Level Multivariate Density Neuroimaging Outcomes
Jordan Dworkin; Kristin Linn, University of Pennsylvania; Theodore Satterthwaite, University of Pennsylvania; Armin Raznahan, Child Psychiatry Branch, National Institute of Mental Health, NIH; Rohit Bakshi, Harvard Medical School; Russell Shinohara, University of Pennsylvania
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Identification of Differences in Cortical Thickness in Multiple Sclerosis Patients Based on Race
Jiajing Niu, Clemson University; Andrew Brown, Clemson University; Jagannadha R Avasarala, Greenville Health Syatem
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Bayesian Homogeneity Pursuit with Thresholded Dirichlet Process Priors
Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan
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Population-Level Representational Mapping Based on Intracranial EEG Subjects with Varying Spatial Sampling
Peter W. Elliott, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University
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Bayesian Tensor Regression for Neuroimaging Data
Montserrat Fuentes, Virginia Commonwealth University; Hossein Moradi, South Dakota State University
8:35 AM
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Tensor Regression and Imaging-Based Inference
Heping Zhang, Yale University; Long Feng, Yale University; Xuan Bi, University of Minnesota
10:35 AM
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Sparse Groupwise Envelope Model for Response Variable Selection in Imaging Genetic Analysis
Yeonhee Park, Medical University of South Carolina; Zhihua Su, University of Florida; Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill
10:35 AM
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Sparse Tensor Co-Inertia Analysis with Application to Integrative Analysis of Genomic Data and Imaging Data
Eun Jeong Min, University of Pennsylvania; Shen Li, University of Pennsylvania; Qi Long, University of Pennsylvania
10:50 AM
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Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
Xiwei Tang, University of Virginia; Xuan Bi, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
11:00 AM
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The Statistical Performance of Hierarchical Shrinkage Priors in Modeling Outcomes with Imaging Data
Justin Leach, University of Alabama at Birmingham; Inmaculada Aban, University of Alabama at Birmingham
11:05 AM
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Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
Andrew Brown, Clemson University; Christopher McMahan, Clemson University; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
11:35 AM
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Prediction for Error-Contaminated Image Data with an Application of the Prostate Cancer Imaging Study
Wenqing He, University of Western Ontario; Grace Yi, University of Waterloo; Junhan Fang, University of Waterloo
2:05 PM
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A Dynamic Stochastic Block Model for Change Detection in Community Structure of Brain Networks
Chee-Ming Ting, KAUST; Siti Balqis Samdin, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
2:05 PM
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The Association Between White Matter Tracts and Executive Function in Six Year Old Children Using Robust Scale-Invariant Canonical Correlation Analysis
Benjamin Langworthy, University of North Carolina - Chapel Hill; Jason Fine, University of North Carolina - Chapel Hill; John Gilmore, University of North Carolina - Chapel Hill; Rebecca Stephens, University of North Carolina - Chapel Hill
3:05 PM
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Joint Analysis of Neuroimaging and Psychosocial Factors
Raphiel Murden, Emory Univ, Rollins School of SPH; Benjamin Risk, Emory University; Ying Guo, Emory University
3:20 PM
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Thursday, 08/01/2019
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Multi-Scale Factor Analysis of High-Dimensional Connectivity in Brain Networks
Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Chee-Ming Ting, KAUST
8:35 AM
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Bayesian Approaches for Dynamic Brain Connectivity
Michele Guindani, University of California, Irvine; Marina Vannucci, Rice University; Erik Erhardt, University of New Mexico
9:00 AM
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Multivariate Spline Estimation and Inference for Varying Coefficient Models with Imaging Data
Shan Yu, Iowa State University; Guannan Wang, College of William and Mary; Li Wang, Iowa State University; Lijian Yang, Tsinghua University
9:15 AM
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Bayesian Supervised Tensor Modeling for Large Scale Imaging Data
Rajarshi Guhaniyogi, University of California, SC
9:25 AM
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Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
Yujia Deng, University of Illinois Urbana and Champaign; Xiwei Tang, University of Virginia; Annie Qu, University of Illinois at Urbana-Champaign
9:35 AM
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On the Bayesian Spatial Analysis of Brain Activation in fMRI
John Kornak, University of California, San Francisco
9:50 AM
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Deep Learning in Neuroimaging Genetics
Wei Pan, University of Minnesota
10:35 AM
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Statistical Approaches for Disentangling the Nature of Brain Lesions
Russell Shinohara, University of Pennsylvania
11:00 AM
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Multivariate Spatial Point Process Models for the Analysis of Spectral Imaging Data
Kyu Ha Lee, Harvard T.H. Chan School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health; Jacqueline R Starr, The Forsyth Institute
11:05 AM
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Statistical Methods for Reliable and Reproducible Brain Network Analysis
Ying Guo, Emory University; Suprateek Kundu, Emory University; Ixavier A. Higgins, Emory University; Joshua D. Lukemire, Emory University
11:25 AM
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