Founders talk
Timothy Johnson
University of Michigan
Title: A Bayesian semi-parametric model for functional near-infrared spectroscopy data
Keynote Speakers
Tom Nichols
Professor of Neuroimaging Statistics, Nuffield Department of Population Health, University of Oxford
Title: Neuroimaging Statistics for Population Scale Data
Vince Calhoun
Director, Tri-institutional Center for Translational Research in Neuroimaging and Data Science
Title: Swimming in a sea of under-explored dynamics: A survey of approaches for capturing time-varying connectivity
Short Course
Hui Lin
Quant Reseacher at Google
Title: Introduction to Deep Learning
Statistical Software for Imaging Analysis
John Muschelli, Johns Hopkins University
Neuroconductor: An R Platform for Medical Imaging Analysis
Stathis D. Gennatas, University of California, San Francisco
Efficient and accessible Machine Learning with rtemis
Joshua Lukemire, Emory University
HINT – A Matlab toolbox for hierarchical covariate-adjusted independent component analysis of fMRI data
Hernando Ombao, KAUST
Toolbox for Exploring Interactions in Multivariate Time Series
Marina Vannucci, Rice University
User-friendly MATLAB GUIs for Bayesian Multi-Subject Modeling of fMRI Data
Speakers in Invited Oral Sessions and Collaborative Case-Studies
Jesus Arroyo, University of Maryland, College Park
Title: Inference for multiple heterogeneous networks with a common invariant subspace
Joanne Beer, University of Pennsylvania
Title: Extensions of ComBat for harmonization of multi-scanner neuroimaging data in an Alzheimer’s Disease Neuroimaging Initiative dataset
Brian Caffo, Johns Hopkins University
Title: Covariance regression for connectome outcomes
Guanqun Cao, Auburn University
Title: Estimation of the Mean Function of Functional Data via Deep Neural Networks
Gang Chen, NIMH
Title: Improving reproducibility in network modeling
Shuo Chen, University of Maryland
Title: l_0 shrinkage in graph space for brain network inference
Adam Ciarleglio, George Washington University
Title: Multiple imputation in functional regression with applications to EEG data in a depression study
Ciprian Crainiceanu, Johns Hopkins University
Title: Longitudinal Image Analysis and Inference
Leo Duan, University of Florida
Title: Bayesian Vector Autoregression using the Tree Rank Prior with an Application to fMRI Data Analysis
Ani Eloyan, Brown University
Title: Analysis of structural imaging data in cancer
Candace Fleischer, Emory University and Georgia Tech
Title: In vivo metabolic imaging with magnetic resonance spectroscopy
Susan Gauthier, Weill Cornell Medicine
Title: The clinical translation of QSM as a new imaging biomarker for disease progression and treatment response in Multiple Sclerosis
Sharmistha Guha, Duke University
Title: Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Michele Guindani, University of California, Irvine
Title: A Bayesian Nonparametric approach for the analysis of functional data in neuroimaging
Jaroslaw Harezlak, Indiana University, Bloomington
Title: Regularized regression for multi-modal brain imaging
Emily Hector, North Carolina State University
Title: Integrative fused mean structure learning with application to image-on-scalar regression
Chao Huang, Florida State University
Title: Shape-on-Vector Geodesic Regression Model and Its Applications in Image Data Analysis
Jian Kang, University of Michigan
Title: Bayesian Inferences in EEG-Based Brain-Computer Interface via the Split-and-Merge Gaussian Process
John Kornak, University of California, San Francisco
Title: Bayesian image analysis in transformed spaces (BITS) and the BIFS/BIWS packages
Robert T. Krafty, Emory University
Title: Adaptive Spectral Analysis of High-Dimensional EEG with Application to Monitoring Transcranial Magnetic Stimulation during Psychosis
Sebastian Kurtek, Ohio State University
Title: Visualization and Outlier Detection for Shape Data
Nicole Lazar, Penn State University
Title: Topological Data Analysis for the Study of Brain Networks
Lexin Li, University of California, Berkeley
Title: Testing Mediation Effects Using Logic of Boolean Matrices with Applications in Neuroimaging Mediation Analysis
Kristin Linn, University of Pennsylvania
Title: Inter-modal Coupling for Multi-modal Image Analysis
Carolyn Lou, University of Pennsylvania
Title: Towards an Automatic Detection Method of Chronic Active Lesions in Multiple Sclerosis
Xi Luo, The University of Texas
Title: Covariate Assisted Principal Regression for Covariance Matrix Outcomes with an Application to fMRI
Amanda Mejia, Indiana University
Title: Leveraging shared population and spatial information for accurate estimation of subject-level brain networks
Michelle F. Miranda, University of Victoria
Title: Composite-hybrid basis approach incorporating residual connectivity in task fMRI data
Shariq Mohammed, University of Michigan
Title: RADIOHEAD: Radiogenomic Analysis incorporating tumor heterogeneity in imaging through densities
Jeff Morris, University of Pennsylvania
Title: Connectivity Regression
Todd Ogden, Columbia University
Title: Constrained functional additive models for interaction effects between a treatment and functional covariates
Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
Title: Exploring Non-Linear Spectral Interactions in Multivariate Time Series
Deqiang Qiu, Emory University and Georgia Tech
Title: Inverse Problems in Magnetic Resonance Quantitative Susceptibility Mapping
Annie Qu, University of California, Irvine
Title: Correlation Tensor Decomposition and Its Application in Spatial Imaging Data
David Reiter, Emory University
Title: Advances in Quantitative MRI Signal Modeling in Musculoskeletal Research
Sandra Hurtado Rúa, Cleveland State University
Title: Statistical challenges in the analysis of QSM maps
Russell Shinohara, University of Pennsylvania
Title: A statistical revisiting of multiple sclerosis lesions based on MRI
Haochang Shou, University of Pennsylvania
Title: Correcting Site Differences in the Covariance Structures of Neuroimaging Data
Sean L. Simpson, Wake Forest School of Medicine
Title: Mixed modeling frameworks for analyzing whole-brain network data
Elizabeth Sweeney, Weill Cornell Medicine
Title: QSM Image Analysis: Automated Lesion Type Identification and Lesion Age Estimation
Dana Tudorascu, University of Pittsburgh
Title: Methods for MRI and PET neuroimaging data harmonization across different scanners in Alzheimer Disease.
Marina Vannucci, Rice University
Title: Bayesian Inference for Stationary Points in Gaussian Process Regression Models with Applications to ERP Analysis
Julia Wrobel, University of Colorado, Denver
Title: Intensity warping for multisite MRI harmonization
Zhengwu Zhang, UNC
Title: Surface-Based Connectivity Integration
Xin “Henry” Zhang, Florida State University
Title: Generalizing liquid association for multimodal neuroimaging
Fengqing (Zoe) Zhang, Drexel University
Title: Penalized multi-state models for examining multimodal imaging signatures of Alzheimer’s disease.
Yize Zhao, Yale University
Title: Imaging Genetics Analysis under Brain Connectivity with Application on Human Connectome Project
Yi Zhao, Indiana University-Purdue University
Title: Multimodal Neuroimaging Data Integration and Pathway Analysis.
Jingyi Zheng, Auburn University
Title: Time-frequency Spectral Analysis of Scalp EEG signals using Empirical Mode Decomposition