SMI 2022 - Who's Who

This index covers organizers, chairs, instructors, speakers, and authors for the May 25 - 27 daytime sessions. See also the posters page.

 

Roxane Andersen, Environmental Research Institute / University of the Highlands and Islands

• Co-author - Object oriented data analysis of peatlands using satellite imagery

 

Aditi Basu Bal, Florida State University

• Co-author - Statistical analysis of shape networks

 

Veera Baladandayuthapani, University of Michigan

• Co-author - Bayesian functional graphical models

 

Ashraf F. Bastawros, Iowa State University

• Presenting author - Fracture matching: Role of fracture mechanics on setting the comparison scales
• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Karthik Bharath, University of Nottingham

• Co-author - Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data

 

Benjamin G. Bitler, University of Colorado

• Co-author - SPF: A spatial and functional data analytic approach to cell imaging data

 

David Bolin, King Abdullah University of Science and Technology (KAUST)

• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Co-author - Gaining power and reliability through cortical surface-based spatial Bayesian modeling 

 

Andrew Bradley, University of Nottingham

• Co-author - Object oriented data analysis of peatlands using satellite imagery

 

Andrew Brown, Clemson University

• Chair - Modern statistical analysis on neuroimaging

 

Brian S. Caffo, Johns Hopkins University

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Joshua Cape, University of Pittsburgh

• Presenting author - On network modularity statistics in connectomics and schizophrenia

 

Andrew Chen, University of Pennsylvania

• Chair - Recent advances in statistical learning methods for imaging data

 

Tingan Chen, Moffitt Cancer Center

• Co-author - Imaging genetic-based mediation analysis for human cognition

 

Wei-Chen Chen, Food and Drug Administration, Center for Devices and Radiological Health

• Co-author - Model-based segmentation for improved activation detection in single-subject functional magnetic resonance imaging studies

 

Inna Chervoneva, Thomas Jefferson University

• Organizer - New approaches for normalization and cell phenotyping in multiplex immunofluorescence imaging data
• Presenting author - Quantification of spatial heterogeneity and interactions in pathology images of tumor microenvironment

 

Min Ho Cho, Inha University

• Co-author - Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data

 

Adam Ciarleglio, George Washington University

• Author - Examining the association between depression outcomes and EEG characteristics via functional regression with missing data

 

Lauren K. Claytor, Virginia Department of Forensic Science

• Presenting author - Fracture matching: A historical perspective and a path forward in forensic science
• Co-author - Fracture matching: Role of fracture mechanics on setting the comparison scales
• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Martin Cole, University of Rochester Medical Center

• Co-author - Analyzing brain structural connectivity as continuous functions

 

Will Consagra, University of Rochester Medical Center

• Co-author - Analyzing brain structural connectivity as continuous functions

 

Todd Constable, Yale University

• Co-author - Heterogeneity analysis on multi-state brain functional connectivity and adolescent neurocognition

 

Jordan Creed, Moffitt Cancer Center • Epidemiology, University of South Florida

• Instructor - Spatial analysis of immune cells from multiplex immunofluorescence using R package spatialTIME and iTIME Shiny application

 

Samuel Davenport, University of California San Diego

• Chair - New statistical and machine learning methods for complex imaging data

 

Bishoy Dawood, Intel Corporation

• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Ian L. Dryden, Florida International University

• Presenting author - Object oriented data analysis of peatlands using satellite imagery

 

Jordan Dworkin, Columbia University

• Co-author - Data-driven subtyping of multiple sclerosis lesions on quantitative magnetic resonance imaging
• Presenting author - Quantifying and testing differential spatial patterns among MS lesion subtypes
• Chair - Causal inference in imaging genetic studies

 

Chris Fallaize, University of Nottingham

• Co-author - Object oriented data analysis of peatlands using satellite imagery

 

Andreia V. Faria, Johns Hopkins Medicine

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Fabio Ferrarelli, University of Pittsburgh

• Co-author - Comparing populations of high-dimensional time series spectra

 

Julia Fisher, StatLab

• Chair - Collaborative case study: Fostering discoveries in fMRI studies of neurodegeneration through surface-based processing and spatial Bayesian modeling

 

Brooke Fridley, Moffitt Cancer Center

• Instructor - Spatial analysis of immune cells from multiplex immunofluorescence using R package spatialTIME and iTIME Shiny application
• Co-author - Assessment of Bayesian models for zero-inflated and over-dispersed multiplex immunofluorescence data
• Presenting author - Statistical framework for studying the spatial architecture of the tumor immune microenvironment
• Chair - New approaches for normalization and cell phenotyping in multiplex immunofluorescence imaging data

 

Iris Ivy Gauran, KAUST

• Co-author - Hypothesis testing in high-dimensional settings

 

Susan Gauthier, Weill Cornell Medicine

• Co-author - Data-driven subtyping of multiple sclerosis lesions on quantitative magnetic resonance imaging
• Co-author - Quantifying and testing differential spatial patterns among MS lesion subtypes

 

Debashis Ghosh, University of Colorado

• Co-author - SPF: A spatial and functional data analytic approach to cell imaging data

 

John Gore, Vanderbilt University Medical Center

• Keynote speaker - Functional MRI of white matter

 

Sharmistha Guha, Texas A&M University

• Presenting author - Bayesian supervised clustering of undirected networks to model group-specific impacts of the brain network on human creativity
• Organizer and chair - Recent advances in modeling of functional and multi-object data in the context of unimodal and multimodal brain imaging

 

Rajarshi Guhaniyogi, Texas A&M University

• Co-author - Bayesian supervised clustering of undirected networks to model group-specific impacts of the brain network on human creativity
• Presenting author - On novel multi-object regression and efficient computation
• Organizer - Analysis of brain imaging data using shape-restricted modeling, tensor modeling and directional network modeling
• Co-author - A Bayesian covariance–based clustering for high-dimensional tensors
• Chair - Recent advances in multiple sclerosis image analysis

 

Michele Guindani, University of California, Irvine

• Presenting author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Xiaoyang Guo, Florida State University

• Co-author - Statistical analysis of shape networks

 

Ying Guo, Emory University

• Instructor - HINT: A hierarchical covariate-adjusted ICA toolbox for cross-sectional and longitudinal fMRI studies
• Co-author - A blind source separation method for investigating functional and structural networks in brain connectome

 

Rene Gutierrez Marquez, University of California, Santa Cruz

• Co-author - On novel multi-object regression and efficient computation
• Co-author - A Bayesian covariance–based clustering for high-dimensional tensors

 

Coleman Harris, Vanderbilt University Medical Center

• Presenting author - Computational tools and statistical methods to normalize multiplexed immunofluorescence images

 

Xiaoping Hu, University of California, Riverside

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Chao Huang, Florida State University

• Organizer - Causal inference in imaging genetic studies

 

Sana Hussein

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Laura Jelsone-Swain, University of South Carolina at Aiken

• Co-author - Longitudinal surface-based spatial Bayesian modeling reveals complex trajectories of motor neurodegeneration in ALS

 

Kimberly R. Jordan, University of Colorado

• Co-author - Quantifying the quality of cell-type labeling in Vector-Polaris multiplex imaging data
• Co-author - SPF: A spatial and functional data analytic approach to cell imaging data

 

Sanjay Kalra, University of Alberta

• Co-author - Longitudinal surface-based spatial Bayesian modeling reveals complex trajectories of motor neurodegeneration in ALS

 

Jian Kang, University of Michigan

• Co-author - A blind source separation method for investigating functional and structural networks in brain connectome

 

Dehan Kong, University of Toronto

• Presenting author - Mapping the genetic-imaging-clinical pathway with applications to Alzheimer's disease

 

Vincent Koppelmans, University of Utah

• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Co-author - Longitudinal surface-based spatial Bayesian modeling reveals complex trajectories of motor neurodegeneration in ALS

 

Michael Kosorok, University of North Carolina at Chapel Hill

• Co-author - Individualized treatment regimes incorporating imaging features

 

Robert Krafty, Emory University

• Presenting author - Comparing populations of high-dimensional time series spectra

 

Suprateek Kundu, University of Texas MD Anderson Cancer Center and Emory University

• Organizer - Statistical analysis of high-dimensional neuroimaging data
• Presenting author - Regression and classification with high-dimensional noisy images
• Primary mentor - Multi-task learning with high-dimensional noisy images

 

Sebastian Kurtek, The Ohio State University

• Presenting author - Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data

 

Jose Laborde, Moffitt Cancer Center

• Presenting author - Assessment of Bayesian models for zero-inflated and over-dispersed multiplex immunofluorescence data

 

David Large, University of Nottingham

• Co-author - Object oriented data analysis of peatlands using satellite imagery

 

Nicole Lazar, Penn State

• Keynote speaker - Reproducibility in functional neuroimaging studies and brain networks through the lens of multiplicity

 

Jaylen Lee, University of California, Irvine

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Swati Rane Levendovszky, University of Washington

• Co-author -  A functional data approach to identifying Alzheimer's disease from cortical surface data

 

Fan Li, Yale University

• Co-author - Mediation analysis with a survival outcome and brain connectivity mediator

 

Lexin Li, University of California, Berkeley

• Presenting author - Generalized liquid association analysis for multimodal neuroimaging data integration

 

Meng Li, Rice University

• Co-author - Random phase-amplitude Gaussian processes for single-trial analysis of ERP data
• Co-author - Bayesian image-on-scalar regression with a spatial global-local spike-and-slab prior

 

Shuang Li, Harvard University

• Co-author - Imitation learning of spatio-temporal point processes

 

Xinyi Li, Clemson University

• Presenting author - Individualized treatment regimes incorporating imaging features
• Co-author - Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression

 

Zeda Li, Baruch College

• Co-author - Comparing populations of high-dimensional time series spectra

 

Eardi Lila, University of Washington

• Organizer - Advanced statistical methods for the analysis of surface-based neuroimaging data
• Presenting author - A functional data approach to identifying Alzheimer's disease from cortical surface data
• Chair - Novel statistical modeling for human brain network

 

Chin-Fu Liu, Johns Hopkins University

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Rongjie Liu, Florida State University

• Presenting author - Imaging genetic-based mediation analysis for human cognition

 

Rui Liu, University of North Carolina at Chapel Hill

• Co-author - Significance in scale space for Hi-C analysis

 

Carlos Llosa-Vite, Iowa State University

• Presenting author - Reduced-rank tensor-on-tensor regression and tensor-variate analysis of variance
• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning
• Student paper award winner - Tensor-variate elliptically contoured distributions with application to image learning

 

Barbara K. Lograsso, Iowa State University

• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Joshua Lukemire, Emory University

• Instructor - HINT: A hierarchical covariate-adjusted ICA toolbox for cross-sectional and longitudinal fMRI studies
• Organizer and chair - Recent advances in neuroimaging statistics for investigating human brain function and disorders

 

Xi Luo, University of Texas Health Science Center

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Jing Ma, Fred Hutchinson Cancer Research Center

• Co-author - Direct estimation of differential Granger causality with applications to EEG data

 

Xin Ma, Emory University

• Student paper award winner - Multi-task learning with high-dimensional noisy images
• Co-author - Regression and classification with high-dimensional noisy images

 

Ranjan Maitra, Iowa State University

• Presenting author - Model-based segmentation for improved activation detection in single-subject functional magnetic resonance imaging studies
• Co-author - Reduced-rank tensor-on-tensor regression and tensor-variate analysis of variance
• Organizer - Collaborative case study: Engineering and statistical models for error quantifications in comparative 3D microscopy for physical match analysis
• Co-author - Fracture matching: Role of fracture mechanics on setting the comparison scales
• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning
• Primary mentor - Tensor-variate elliptically contoured distributions with application to image learning

 

Abhishek Mandal, Florida State University

• Co-author - Imaging genetic-based mediation analysis for human cognition

 

Melanie Marcille, Weill Cornell Medical College

• Co-author - Data-driven subtyping of multiple sclerosis lesions on quantitative magnetic resonance imaging

 

J. S. (Steve) Marron, University of North Carolina at Chapel Hill

• Presenting author - Significance in scale space for Hi-C analysis

 

Alan B. Mcmillan, University of Wisconsin

• Presenting author - Robustness (or not) of deep learning methods applied to medical images

 

William Q. Meeker, Iowa State University

• Co-author - Fracture matching: Role of fracture mechanics on setting the comparison scales
• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Amanda (Mandy) Mejia, Indiana University

• Instructor - ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
• Organizer - Collaborative case study: Fostering discoveries in fMRI studies of neurodegeneration through surface-based processing and spatial Bayesian modeling
• Presenting author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Co-author - Longitudinal surface-based spatial Bayesian modeling reveals complex trajectories of motor neurodegeneration in ALS
• Co-author - Gaining power and reliability through cortical surface-based spatial Bayesian modeling 

 

Isaac Menchaca, University of California, Irvine

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Michael I. Miller

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Michelle Miranda, University of Victoria

• Co-author - Novel Bayesian method for simultaneous detection of activation signatures and background connectivity for task fMRI data

 

Emily Mitchell, University of Nottingham

• Co-author - Object oriented data analysis of peatlands using satellite imagery

 

Anirban Mitra, Indiana University

• Co-author - On network modularity statistics in connectomics and schizophrenia

 

Jefffrey S. Morris, University of Pennsylvania

• Co-author - Bayesian functional graphical models
• Presenting author - Novel Bayesian method for simultaneous detection of activation signatures and background connectivity for task fMRI data
• Chair - Statistical methods for complex objects

 

Tom Needham, Florida State University

• Co-author - Statistical analysis of shape networks

 

Quinton Neville, University of Minnesota

• Co-author - Bayesian functional graphical models

 

Thanh Nguyen, Weill Cornell Medical College

• Co-author - Data-driven subtyping of multiple sclerosis lesions on quantitative magnetic resonance imaging
• Co-author - Quantifying and testing differential spatial patterns among MS lesion subtypes

 

Lindsay D. Oliver, Centre for Addiction and Mental Health

• Co-author - A structured multivariate approach for removal of batch effects

 

Hernando Ombao, King Abdullah University of Science and Technology (KAUST)

• Organizer - Statistical models and methods for brain electrophysiological signals, part 1 and part 2
• Co-author - Hypothesis testing in high-dimensional settings
• Presenting author - Exploring non-linear spectral dependence in multichannel EEGs

 

Jun Young Park, University of Toronto

• Primary mentor - A structured multivariate approach for removal of batch effects

 

Zhigang Peng, Georgia Institute of Technology

• Co-author - Imitation learning of spatio-temporal point processes

 

Lauren C. Peres, Moffitt Cancer Center

• Co-author - Assessment of Bayesian models for zero-inflated and over-dispersed multiplex immunofluorescence data
• Co-author - Statistical framework for studying the spatial architecture of the tumor immune microenvironment

 

Megan A. K. Peters, University of California, Irvine

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Damon Pham, Indiana University

• Instructor - ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R
• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package

 

Marco Pinto, King Abdullah University of Science and Technology (KAUST) and Oslo Metropolitan University

• Co-author - Exploring non-linear spectral dependence in multichannel EEGs

 

Dustin Pluta, Rice University

• Presenting author - Random phase-amplitude Gaussian processes for single-trial analysis of ERP data

 

Konasale Prasad, University of Pittsburgh

• Co-author - On network modularity statistics in connectomics and schizophrenia

 

Xing Qiu, University of Rochester Medical Center

• Co-author - Analyzing brain structural connectivity as continuous functions

 

Karina Quevedo, University of Minnesota

• Co-author - Bayesian functional graphical models

 

Ben Risk, Emory University

• Chair - Analysis of brain imaging data using shape-restricted modeling, tensor modeling and directional network modeling

 

Daniel B. Rowe, Marquette University

• Founder's talk - The founding of the Section of Imaging and analysis of raw fMRI data

 

Hallgeir Rui, Medical College of Wisconsin

• Co-author - Quantification of spatial heterogeneity and interactions in pathology images of tumor microenvironment

 

Sarah Ryan, University of Pennsylvania

• Co-author - Gaining power and reliability through cortical surface-based spatial Bayesian modeling

 

Aaron Wolfe Scheffler, University of California, San Francisco

• Co-author - On novel multi-object regression and efficient computation
• Presenting author - A Bayesian covariance–based clustering for high-dimensional tensors

 

Erin L. Schenk, University of Colorado

• Co-author - Quantifying the quality of cell-type labeling in Vector-Polaris multiplex imaging data
• Co-author - SPF: A spatial and functional data analytic approach to cell imaging data

 

Joellen M. Schildkraut, Winship Cancer Institute / Emory University

• Co-author - Assessment of Bayesian models for zero-inflated and over-dispersed multiplex immunofluorescence data
• Co-author - Statistical framework for studying the spatial architecture of the tumor immune microenvironment

 

Aaron R. Seitz, University of California Riverside

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Russell (Taki) Shinohara, University of Pennsylvania

• Presenting author - Image analysis approaches to MS diagnostics
• Chair - Reproducibility in functional neuroimaging studies and brain networks through the lens of multiplicity

 

Ali Shojaie, University of Washington

• Presenting author - Direct estimation of differential Granger causality with applications to EEG data

 

Alex Soupir, Moffitt Cancer Center

• Instructor - Spatial analysis of immune cells from multiplex immunofluorescence using R package spatialTIME and iTIME Shiny application
• Co-author - Statistical framework for studying the spatial architecture of the tumor immune microenvironment

 

Daniel Spencer, Indiana University

• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Presenting author - Gaining power and reliability through cortical surface-based spatial Bayesian modeling
• Chair - Collaborative case study: Engineering and statistical models for error quantifications in comparative 3D microscopy for physical match analysis

 

Anuj Srivastava, Florida State University

• Presenting author - Statistical analysis of shape networks

 

Zhe Sun, Yale University

• Presenting author - Thresholded prior for integrating brain regional and network predictors

 

Elizabeth Sweeney, University of Pennsylvania

• Organizer - Recent advances in multiple sclerosis image analysis
• Presenting author - Data-driven subtyping of multiple sclerosis lesions on quantitative magnetic resonance imaging
• Co-author - Quantifying and testing differential spatial patterns among MS lesion subtypes
• Chair - Advanced statistical methods for the analysis of surface-based neuroimaging data

 

Geoffrey Thompson, Indiana University

• Presenting author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Xinyuan Tian, Yale University

• Co-author - Mediation analysis with a survival outcome and brain connectivity mediator

 

Marie Tuft, University of Pittsburgh

• Co-author - Comparing populations of high-dimensional time series spectra

 

Simon Vandekar, Vanderbilt University Medical Center

• Chair - Student paper winners showcase
• Co-author - Computational tools and statistical methods to normalize multiplexed immunofluorescence images
• Chair - Functional MRI of white matter

 

John D. Vanderkolk, Indiana State Police Laboratory (ret.)

• Co-author - Quantitative matching of forensic evidence fragments using fracture mechanics and statistical learning

 

Marina Vannucci, Rice University

• Co-author - Random phase-amplitude Gaussian processes for single-trial analysis of ERP data
• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions
• Presenting author - Scalable Bayesian models for inference of networks and covariate effects
• Primary mentor - Bayesian image-on-scalar regression with a spatial global-local spike-and-slab prior

 

Francesco Versace, University of Texas MD Anderson Cancer Center

• Co-author - Random phase-amplitude Gaussian processes for single-trial analysis of ERP data

 

Aristotle N. Voineskos, Centre for Addiction and Mental Health / University of Toronto

• Co-author - A structured multivariate approach for removal of batch effects

 

Thao Vu, Colorado School of Public Health

• Presenting author - SPF: A spatial and functional data analytic approach to cell imaging data

 

Bingkai Wang, University of Pennsylvania

• Co-author - Hierarchical tree data in regularized regression: A path analysis perspective

 

GuanNan Wang, College of William and Mary

• Co-author - Big imaging data learning: A parallel solution
• Organizer - Recent advances in statistical learning methods for imaging data

 

Huixia Judy Wang, George Washington University

• Co-author - Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression

 

Li Wang, Iowa State University

• Co-author - Functional data fusion of PM2.5 observations and satellite AOD measurements

 

Lily Wang, George Mason University

• Organizer - Modern statistical analysis on neuroimaging
• Co-author - Big imaging data learning: A parallel solution
• Presenting author - Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression

 

Linbo Wang, University of Toronto

• Co-author - Mapping the genetic-imaging-clinical pathway with applications to Alzheimer's disease

 

Shiying Wang, Yale University

• Student paper award winner - Heterogeneity analysis on multi-state brain functional connectivity and adolescent neurocognition

 

Yaotian Wang, University of Pittsburgh

• Co-author - A variational Bayesian approach to identifying whole-brain directed networks with fMRI data

 

Yue Wang, Arizona State University

• Co-author - Direct estimation of differential Granger causality with applications to EEG data

 

Yueying Wang, Herbert Irving Comprehensive Cancer Center, Columbia University

• Presenting author - Functional data fusion of PM2.5 observations and satellite AOD measurements

 

Ryan Warnick, Microsoft

• Co-author - A multi-subject Bayesian model for dynamic functional connectivity with time-varying covariate-dependent transitions

 

Sarah Weinstein, University of Pennsylvania

• Chair - Statistical analysis of high-dimensional neuroimaging data

 

Robert Welsh, University of Utah

• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Presenting author - Longitudinal surface-based spatial Bayesian modeling reveals complex trajectories of motor neurodegeneration in ALS

 

Hyejung Won, University of North Carolina at Chapel Hill

• Co-author - Significance in scale space for Hi-C analysis

 

Julia Wrobel, Colorado School of Public Health

• Presenting author - Statistical analysis of multiplex immunofluorescence and immunohistochemistry imaging data
• Co-author - Computational tools and statistical methods to normalize multiplexed immunofluorescence images
• Co-author - Assessment of Bayesian models for zero-inflated and over-dispersed multiplex immunofluorescence data
• Organizer and chair - Spatial analysis techniques in multiplex single-cell imaging
• Co-author - SPF: A spatial and functional data analytic approach to cell imaging data

 

Ben Wu, Renmin University of China

• Presenting author - A blind source separation method for investigating functional and structural networks in brain connectome

 

Yao Xie, Georgia Institute of Technology

• Presenting author - Imitation learning of spatio-temporal point processes

 

Misung Yi, Thomas Jefferson University

• Co-author - Quantification of spatial heterogeneity and interactions in pathology images of tumor microenvironment

 

Dengdeng Yu, University of Texas at Arlington

• Co-author - Mapping the genetic-imaging-clinical pathway with applications to Alzheimer's disease

 

Shan Yu, University of Virginia

• Presenting author - Big imaging data learning: A parallel solution

 

Zhaoxia Yu, University of California, Irvine

• Presenting author - Hypothesis testing in high-dimensional settings

 

Yu Ryan Yue, Baruch College

• Co-author - Spatial Bayesian modeling for (longitudinal) task fMRI activation studies with the BayesfMRI package
• Co-author - Gaining power and reliability through cortical surface-based spatial Bayesian modeling 

 

Jing Zeng, Florida State University

• Co-author - Generalized liquid association analysis for multimodal neuroimaging data integration

 

Zijian Zeng, Rice University

• Student paper award winner - Bayesian image-on-scalar regression with a spatial global-local spike-and-slab prior

 

Chunming Zhang, University of Wisconsin–Madison

• Organizer - New statistical and machine learning methods for complex imaging data

 

Heping Zhang, Yale University

• Co-author - Heterogeneity analysis on multi-state brain functional connectivity and adolescent neurocognition

 

Lin Zhang, University of Minnesota

• Presenting author - Bayesian functional graphical models

 

Rongqian Zhang, University of Toronto

• Student paper award winner - A structured multivariate approach for removal of batch effects

 

Tingting Zhang, University of Pittsburgh

• Presenting author - A variational Bayesian approach to identifying whole-brain directed networks with fMRI data
• Chair - Statistical models and methods for brain electrophysiological signals, parts 1 and 2

 

Wenbo Zhang, UC Irvine

• Co-author -  A functional data approach to identifying Alzheimer's disease from cortical surface data

 

Xin Zhang, Florida State University

• Co-author - Generalized liquid association analysis for multimodal neuroimaging data integration

 

Yuhao Zhang, George Washington University

• Presenter - Examining the association between depression outcomes and EEG characteristics via functional regression with missing data

 

 

Zhengwu Zhang, University of North Carolina at Chapel Hill

• Organizer - Statistical methods for complex objects
• Co-author - Significance in scale space for Hi-C analysis
• Presenting author - Analyzing brain structural connectivity as continuous functions

 

Yi Zhao, Indiana University

• Presenting author - Hierarchical tree data in regularized regression: A path analysis perspective

 

Yize Zhao, Yale University

• Organizer - Novel statistical modeling for human brain network
• Co-author - Thresholded prior for integrating brain regional and network predictors
• Presenting author - Mediation analysis with a survival outcome and brain connectivity mediator
• Primary mentor - Heterogeneity analysis on multi-state brain functional connectivity and adolescent neurocognition

 

Hongtu Zhu, University of North Carolina at Chapel Hill

• Co-author - Imaging genetic-based mediation analysis for human cognition
• Co-author - Mapping the genetic-imaging-clinical pathway with applications to Alzheimer's disease

 

Shixiang Zhu, Georgia Institute of Technology

• Co-author - Imitation learning of spatio-temporal point processes

 

Zhengyuan Zhu, Iowa State University

• Co-author - Functional data fusion of PM2.5 observations and satellite AOD measurements

 

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