Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

37 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-702
Object-Oriented Analysis of Imaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Daniel Rowe, Marquette University
2:05 PM	Nonparametric Model for a Tensor Field Based on HARDI Presentation Lyudmila Sakhanenko, Michigan State University; Michael DeLaura, Michigan State University; David Zhu, Michigan State University
2:20 PM	Radiologic Image-Based Statistical Shape Analysis of Brain Tumors Presentation 1 Presentation 2 Sebastian Kurtek, Ohio State University; Karthik Bharath, University of Nottingham; Arvind Rao, University of Michigan; Veera Baladandayuthapani, University of Michigan
2:35 PM	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
2:50 PM	Investigations on Shape Proportions and Encircled Image-Histograms Presentation William Lamberti, George Mason University; Jason M Kinser, George Mason Univeristy
3:05 PM	Semiparametric Elastic Shape Bootstrap Regions Presentation Justin Strait, University of Georgia
3:20 PM	Analyzing Spatial Variation Using Bayesian Functional Alignment Guoqing Wang, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Martin Lindquist, Johns Hopkins University
3:35 PM	Scalable, Powerful and Robust Basis Space Testing for High-Dimensional Data Ruijin Lu, Virginia Tech; Hongxiao Zhu, Virginia Tech

60 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-105
Statistical Analysis of Massive Neuronal Data Sets — Topic Contributed Papers
ENAR, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Giuseppe Vinci, Rice University
Chair(s): Raquel Prado, UC Santa Cruz-Baskin School of Engineering
4:05 PM	Torus Graphs for Multivariate Phase Coupling Analysis Robert E. Kass, Carnegie Mellon University; Josue Orellana, Carnegie Mellon University; Natalie Klein, Carnegie Mellon University
4:25 PM	Hierarchical Recurrent Models of Neural Activity and Natural Behavior Presentation Scott W. Linderman, Stanford University
4:45 PM	Neuronal Functional Connectivity Graph Estimation from Nonsimultaneous Recordings Giuseppe Vinci, Rice University; Gautam Dasarathy, Arizona State University; Genevera Allen, Rice University
5:05 PM	Probabilistic Models of Neural Responses Measured in Calcium Imaging Presentation Ding Zhou, Columbia University
5:25 PM	Floor Discussion

101 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-706
Making an Impact in Neuroscience: Advances in Statistical Methods for Brain Imaging — Invited Papers
SSC, Section on Statistics in Imaging, Canadian Statistical Sciences Institute
Organizer(s): Farouk Nathoo, University of Victoria
Chair(s): Bei Jiang, University of Alberta
8:35 AM	Nonparametric Matrix Response Regression with Application to Calcium Imaging Dehan Kong, University of Toronto
9:00 AM	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
9:25 AM	Optimal Estimation in Quantile Functional Regression with Application in Imaging Genetics Linglong Kong, University of Alberta
9:50 AM	Discussant: Farouk Nathoo, University of Victoria
10:10 AM	Floor Discussion

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 Presentation Daniel Rowe, Marquette University
8:50 AM	On Predictability and Reproducibility of Individual Functional Connectivity Networks from Clinical Characteristics Presentation 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 Presentation 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 Presentation 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 Presentation Aixin Zhang, University of Colorado Denver; Erin Austin, University of Colorado Denver
9:50 AM	Statistical Analysis of Data Reproducibility Measures Presentation 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

212 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-505
Scientifically and Clinically Motivated Statistical Methods for Human Brain Data Analysis — Invited Papers
Section on Statistics in Imaging, Mental Health Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Tingting Zhang, University of Virginia
Chair(s): Dehan Kong, University of Toronto
2:05 PM	A Bayesian Stochastic-Blockmodel-Based Approach for Mapping Epileptic Brain Networks Tingting Zhang, University of Virginia
2:25 PM	Covariate-Adjusted Region-Referenced Generalized Functional Linear Model for EEG Data Damla Senturk, UCLA; Aaron Scheffler, UCLA; Donatello Telesca, UCLA; Catherine Sugar, UCLA; Shafali Jeste, UCLA; Abigail Dickinson, UCLA; Charlotte DiStefano, UCLA
2:45 PM	Characterizing the Longitudinal Behavior of Multiple Sclerosis Lesions on Structural Magnetic Resonance Images Presentation Elizabeth Sweeney, Weill Cornell
3:05 PM	Using Neuroimaging to Study Pain Presentation Martin Lindquist, Johns Hopkins University
3:25 PM	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
3:45 PM	Floor Discussion

271 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-707
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging, Mental Health Statistics Section, WNAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Tingting Zhang, University of Virginia
8:35 AM	Fréchet Regression for Time-Varying Covariance Matrices of Myelination and Regional Co-Evolution Networks in the Developing Brain Hans Mueller, UC Davis; Alexander Petersen, University of California, Santa Barbara; Sean Deoni , Brown University ; Xiongtao Dai, Iowa State University ; Jane-Ling Wang, University of California, Davis
9:00 AM	Tensor Approximation for Partial Quantile Regression in Functional Linear Models Presentation Dengdeng Yu, University of Toronto
9:25 AM	Semiparametric Estimation Under Shape Invariance for fMRI Data Presentation Nicole Lazar, University of Georgia
9:50 AM	Defining the Resolution of Optogenetic Circuit Mapping Shizhe Chen, University of California, Davis; Liam Paninski, Columbia University; Ben Shababo, University of California, Berkeley; Hillel Adesnik, University of California, Berkeley
10:15 AM	Floor Discussion

297	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-501
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, International Chinese Statistical Association, Quality and Productivity Section, Section on Statistical Graphics, Section on Physical and Engineering Sciences, ASA LGBT Concerns Committee, Section on Statistics in Imaging
Chair(s): Rajarshi Guhaniyogi, University of California, SC
Poster Presentations for this session.
8:35 AM	Subfield Yield Analysis for Precision Agriculture Presentation Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
8:40 AM	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Presentation Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
8:45 AM	A Bayesian Approach for Estimating Earth’s "missing" Minerals Presentation Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
8:50 AM	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
8:55 AM	Air Pollutant Prediction from Precipitation Presentation 1 Presentation 2 Presentation 3 Patrick Chang, JLS Middle School
9:00 AM	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Presentation 1 Presentation 2 Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
9:05 AM	Exploratory Data Analysis of US Air Quality Presentation Xuemao Zhang, East Stroudsburg University
9:10 AM	Visualizing a Cyber Physical System in Drill Down Perspective Presentation Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:15 AM	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
9:20 AM	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Presentation 1 Presentation 2 Maoran Xu, University of Florida; Li Duan, University of Florida
9:30 AM	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Presentation 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
9:35 AM	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
9:40 AM	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:45 AM	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
9:50 AM	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
9:55 AM	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
10:00 AM	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
10:05 AM	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
10:10 AM	Clustering and Classification of Exocytic Events Presentation Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:15 AM	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Presentation Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA

219183	Tue, 7/30/2019, 10:30 AM - 12:30 PM	H-Granite C
Section on Statistics in Imaging Executive Committee Meeting (Closed) — Other Cmte/Business
Section on Statistics in Imaging
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)

352 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-507
Recent Development in Imaging Data Analysis — Contributed Papers
Section on Statistics in Imaging
Chair(s): Ciprian Crainiceanu, Johns Hopkins University
10:35 AM	Distributional Properties and Estimation in Image Clustering in Spatial Random Fields with Applications Zijuan Chen, Texas A&M University; Suojin Wang, Texas A&M University
10:50 AM	Latent Complex-Valued Autoregressive Model for fMRI Magnitude Time Series Presentation Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel Rowe, Marquette University
11:05 AM	ISREA:A Novel Approach for Raman Spectrum Baseline Correction and Its Application on Real Data Yunnan Xu, Virginia Tech; Pang Du, Virginia Tech
11:20 AM	Adaptive Bayesian Factor Spectral Analysis of High--Dimensional Nonstationary Time Series Presentation Zeda Li, Baruch College CUNY; Rob Krafty, University of Pittsburgh; Ori Rosen, University of Texas at El Paso
11:35 AM	Estimating the Amount of Training Data for a Deep Learning Algorithm to Detect Severe Burns Presentation Amy Nussbaum, SpectralMD; Jeffrey Thatcher, SpectralMD; Faliu Yi, SpectralMD; Ron Baxter, SpectralMD; Aadeesh Shringarpure, SpectralMD; Humberto Talavera, SpectralMD; Kevin Plant, SpectralMD
11:50 AM	A New Adaptive Signal Detection Method for Neuroimage Analysis Presentation M Inlow, Indiana State University; S Cong, ECE Department, Purdue University; Shen Li, University of Pennsylvania
12:05 PM	Floor Discussion

362	Tue, 7/30/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Graphics, International Chinese Statistical Association, Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistics in Imaging, ASA LGBT Concerns Committee
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Subfield Yield Analysis for Precision Agriculture Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
22:	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
23:	A Bayesian Approach for Estimating Earth’s "missing" Minerals Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
24:	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
25:	Air Pollutant Prediction Using Precipitation Patrick Chang, JLS Middle School
26:	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
27:	Exploratory Data Analysis of US Air Quality Xuemao Zhang, East Stroudsburg University
28:	Visualizing a Cyber Physical System in Drill Down Perspective Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
29:	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
30:	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Maoran Xu, University of Florida; Li Duan, University of Florida
31:	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
32:	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
33:	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
34:	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
35:	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
36:	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
37:	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
38:	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
39:	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
40:	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
Oral Presentations for this session.

371	Tue, 7/30/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics in Imaging P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Imaging
Organizer(s): Linglong Kong, University of Alberta
TL15:	Deep Learning and Reinforcement Learning for Statistical Neuroimaging Data Analysis Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill

219184	Tue, 7/30/2019, 6:00 PM - 8:00 PM	CC-608
Section on Statistics in Imaging Business Meeting — Other Cmte/Business
Section on Statistics in Imaging
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)

452 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-710
Geometric Statistical and Computational Methods in Imaging — Topic Contributed Papers
Section on Statistics in Imaging, International Indian Statistical Association, Section on Statistical Computing
Organizer(s): Sebastian Kurtek, The Ohio State University
Chair(s): Sebastian Kurtek, The Ohio State University
8:35 AM	Density Estimation Under Multimodal Shape Constraints Anuj Srivastava, Florida State University
8:55 AM	Catalyst Acceleration for Non-Convex Optimization on Manifolds Presentation Lizhen Lin, University of Notre Dame; Bayan Saparbayeva, University of Notre Dame; Michael Minyi Zhang, Princeton University; David Dunson, Duke University
9:15 AM	Geometric Aspects of Warped Functional Data, and Local Regression Presentation Karthik Bharath, University of Nottingham
9:35 AM	Signal Subgraph Learning for Longitudinal Structural Brain Networks Presentation Lu Wang, Central South University
9:55 AM	Object Data Driven Discovery Presentation 1 Presentation 2 Ian L Dryden, University of Nottingham
10:15 AM	Floor Discussion

457 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-503
Novel Statistical Approaches to Time Series of Networks — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistics in Imaging
Organizer(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
8:35 AM	Network Granger Causality: Visualization and Extensions Ali Shojaie, University of Washington
8:55 AM	New Developments for Network Time Series Guy Nason, University of Bristol
9:15 AM	Quantile-Frequency Analysis and Functional Principal Components for Discriminant Analysis of Time Series Ta-Hsin Li, IBM T. J. Watson Research Center
9:35 AM	Modeling Evolution of Spectral Properties in Stationary Processes of Varying Dimensions Raanju Sundararajan, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
9:55 AM	Floor Discussion

516 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-107
Case Studies of Scalar-On-Image Regression — Contributed Papers
Section on Statistics in Imaging
Chair(s): Wei Chen, University of Pittsburgh
10:35 AM	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
10:50 AM	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
11:05 AM	The Statistical Performance of Hierarchical Shrinkage Priors in Modeling Outcomes with Imaging Data Presentation Justin Leach, University of Alabama at Birmingham; Inmaculada Aban, University of Alabama at Birmingham
11:20 AM	Reproducible Image Processing by Journaling Presentation Paul Thompson, Thompson Biostatistical Solutions; Norman Matloff, University of California at Davis
11:35 AM	Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging Presentation Andrew Brown, Clemson University; Christopher McMahan, Clemson University; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
11:50 AM	A Statistical Model for Longitudinal Analysis of Radiographic Lung Change Following Radiotherapy of Lung Cancer Presentation Viviana Alejandra Rodriguez, Virginia Commonwealth University; Nitai Mukhopadhyay, Virginia Commonwealth University; Elisabeth Weiss, Virginia Commonwealth University
12:05 PM	Long-Term Prognostic Value of Coronary Computed Tomography angiography Presentation Alomgir Hossain, University of Ottawa Heart Institute; Benjamin Chow, University of Ottawa Heart Institute

528	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging
Chair(s): Wendy Meiring, University of California At Santa Barbara
76:	Repeatability and Reproducibility of Automated Bullet Comparisons Using High-Resolution 3D Scans Kiegan Rice, Iowa State University; Heike Hofmann, Iowa State University; Ulrike Genschel, Iowa State University
77:	Bayesian Nonparametric Inference on the Dynamic Connectivity States Meini Tang, King Abdullah University of Science and Technology; Chee-Ming Ting, KAUST; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Siti Balqis Samdin, King Abdullah University of Science and Technology
78:	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
79:	Approaches for Modeling Spatially Varying Associations Between Multi-Modal Images Alessandra Valcarcel, University of Pennsylvania; Simon N. Vandekar, University of Pennsylvania; Tinashe Tapera, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; David Roalf, University of Pennsylvania; Armin Raznahan, Child Psychiatry Branch, National Institute of Mental Health, NIH; Theodore Satterthwaite, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
80:	Low Dimensional Stationary Subspace Representation of High-Dimensional Time Series with Applications to Brain Signals Anass El Yaagoubi Bourakna; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Raanju Sundararajan, King Abdullah University of Science and Technology
81:	A Reduced Rank Regression Framework for Interpretable Image-On-Scalar Regression with Application to Alzheimer's Disease Tianyu Ding, University of Pittsburgh; Rob Krafty, University of Pittsburgh; Dana Tudorascu, University of Pittsburgh; Annie Cohen, University of Pittsburgh
82:	A Bayesian Method for Clustering Diffusion Tensors Using Mixture of Von Mises Fisher Distribution Siddhesh Kulkarni, University of Louisville; Subhadip Pal, University of Louisville
83:	Analysis of Manganese Accumulation in the Pituitary Gland, Olfactory Bulb, and Hippocampus of Smelter Workers Using High Resolution 3D T1-Weighted MRI Alison Jeffries, Purdue University; Molly Cromer, Purdue University; Zeinab Aly, Purdue University; Ulrike Dydak, Purdue University; Eric Cameron, Purdue University
84:	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
85:	Data Visualization and Exploratory Analysis of Spectral Features in Non-Stationary Time Series Abdulrahman Althobaiti, KAUST; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Ron Frostig, U.C. Irvine
86:	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
87:	Bayesian Homogeneity Pursuit with Thresholded Dirichlet Process Priors Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan
88:	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

576 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-706
Brain Connectivity Studies — Contributed Papers
Section on Statistics in Imaging
Chair(s): Andrew Brown, Clemson University
2:05 PM	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)
2:20 PM	Bayesian Joint Modeling of Multiple Brain Functional Networks Presentation 1 Presentation 2 Joshua D. Lukemire, Emory University; Suprateek Kundu, Emory University; Giuseppe Pagnoni, University of Modena and Reggio Emilia; Ying Guo, Emory University
2:35 PM	A Spatial-Temporal Model for Detecting the Effect of Cocaine Dependence on Brain Connectivity Jifang Zhao, Virginia Commonwealth University; Montserrat Fuentes, Virginia Commonwealth University; Liangsuo Ma, Virginia Commonwealth University; Frederick Moeller, Virginia Commonwealth University; Qiong Zhang, Clemson University
2:50 PM	A Simulation-Based Comparison of Dynamic Connectivity Methods in fMRI Presentation Heather Shappell, Johns Hopkins University; Brian Caffo, Johns Hopkins Bloomberg School of Public Health; James Pekar, F.M. Kirby Research Center for Functional Brain Imaging; Martin Lindquist, Johns Hopkins University
3:05 PM	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
3:20 PM	Joint Analysis of Neuroimaging and Psychosocial Factors Raphiel Murden, Emory Univ, Rollins School of SPH; Benjamin Risk, Emory University; Ying Guo, Emory University
3:35 PM	Spatial and Temporal Correlation Analysis with an Application to fMRI Data Jun Ke; Xuefei Cao, Brown Univeristy; Xi Luo, Brown University

591 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-502
Recent Advances in the Bayesian Modeling of Large Scale Neuroimaging Data for Brain Activation and Connectivity — Invited Papers
Section on Bayesian Statistical Science, Section on Statistics in Imaging, Section on Statistical Learning and Data Science
Organizer(s): Rajarshi Guhaniyogi, University of California, SC
Chair(s): Donatello Telesca, UCLA
8:35 AM	Multi-Scale Factor Analysis of High-Dimensional Connectivity in Brain Networks Presentation 1 Presentation 2 Presentation 3 Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Chee-Ming Ting, KAUST
9:00 AM	Bayesian Approaches for Dynamic Brain Connectivity Michele Guindani, University of California, Irvine; Marina Vannucci, Rice University; Erik Erhardt, University of New Mexico
9:25 AM	Bayesian Supervised Tensor Modeling for Large Scale Imaging Data Rajarshi Guhaniyogi, University of California, SC
9:50 AM	On the Bayesian Spatial Analysis of Brain Activation in fMRI John Kornak, University of California, San Francisco
10:15 AM	Floor Discussion

603 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-210/212
New Development on Statistics in Imaging — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Mihye Ahn, University of Nevada, Reno
8:35 AM	High-Dimensional Robust Scalar-On-Image Regression via Thresholding Function and Nonconvex Learning Bingyuan Liu, Pennsylvania State University; Qi Zhang, Nankai University; Lingzhou Xue, Pennsylvania State University; Jian Kang, University of Michigan; Peter X.K. Song , School of Public Health, University of Michigan
8:55 AM	Semiparametric Modeling of Time-Varying Activation and Connectivity in Task-Based fMRI Data Jun Young Park, University of Minnesota; Joerg Polzehl, Weierstrass Institute for Applied Analysis and Stochastics; Snigdhansu Chatterjee, University of Minnesota; André Brechmann, Leibniz-Institute for Neurobiology; Mark Fiecas, Univ Minnesota
9:15 AM	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
9:35 AM	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
9:55 AM	Discussant: Yize Zhao, Weill Cornell Medical College
10:15 AM	Floor Discussion

627 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-605
Advancing the Statistical Analysis of Neuroimaging Data — Invited Papers
Section on Statistics in Imaging, Biometrics Section, WNAR
Organizer(s): Xin Zhang, Florida State University
Chair(s): Xin Zhang, Florida State University
10:35 AM	Deep Learning in Neuroimaging Genetics Wei Pan, University of Minnesota
11:00 AM	Statistical Approaches for Disentangling the Nature of Brain Lesions Russell Shinohara, University of Pennsylvania
11:25 AM	Statistical Methods for Reliable and Reproducible Brain Network Analysis Presentation Ying Guo, Emory University; Suprateek Kundu, Emory University; Ixavier A. Higgins, Emory University; Joshua D. Lukemire, Emory University
11:50 AM	A Consolidated Nonparametric Analytical Approach for Neuroreceptor Mapping with PET Imaging Data Presentation Todd Ogden, Columbia University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association