Second Annual Conference Statistical Methods in Imaging June 1-3, 2016 Co-sponsored by Statistics in Imaging Section, American Statistical Association (ASA) Department of Biostatistics and Informatics, Colorado School of Public Health BERD program of the Colorado Clinical and Translational Sciences Institute (CCTSI) Colorado Center for NeuroScience Wednesday, June 1, 2016 Agenda 12:30-2:30 PM Session 1: Overview Analysis Methods for Brain Imaging Analysis Martin Lindquist, Johns Hopkins University Education 1 Building Room 1400 2:30-3:00 PM Break 3:00-5:00 PM Session 2: Overview Analysis of Computed Tomography (CT) Ciprian Crainiceanu, Johns Hopkins University Education 1 Building Room 1400 Thursday, June 2, 2016 7:30-8:30 AM Continental Breakfast Hensel Phelps Atrium 8:30-10:15 AM Session 3: New Statistical Methods for Challenging Problems in Imaging Studies Organizer: Ying Guo, Emory University
Functional Linear Models for Nonignorable Missing Responses Hongtu Zhu, University of North Carolina A Bayesian Approach for Large Scale Discrete Latent Source Separation Jian Kang, University of Michigan An Integrative Approach for Estimating Multiple Brain Networks Suprateek Kundu, Emory University An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large Scale Brain Networks Using Partial Correlation (15 minutes) Yikai Wang, Emory University 10:15-10:45 AM Break Hensel Phelps Atrium 10:45-12:30 PM Session 4: Functional, Longitudinal, and Temporal Analysis of Neuroimaging Data Organizer: Lexin Li, UC Berkeley Modeling Cortical Connectivity with High-Dimensional Source Signals from EEG Yuxiao Wang on behalf of Hernando Ombao, UC Irvine PET Imaging and Functional Data Todd Ogden, Columbia University Longitudinal Imaging Analysis Lexin Li, UC Berkeley Uncertainty Quantification in Seismic Exploration Tomography (15minutes) Aimé Fournier, MIT Earth Resources Laboratory 12:30-2:00 PM LUNCH on your own Campus/Area Restaurants 2:00-3:00 PM Session 5: Contributed Topics in the Analysis of Imaging Data Organizer: Nichole Carlson, University of Colorado-Anschutz Medical Campus Reproducibility and Bias in Healthy Brain Segmentation: Quantification and Implications for Statistical Analysis Dana Tudorascu, University of Pittsburgh
Bayesian Detection of Image Boundaries Meng Li, Duke University Adolescent Boys vs. Girls Classified based on Brain Activity on a Novel fmri Risk-Taking Decision Task using Support Vector Machine Manish Dalwani, University of Colorado Anschutz Medical Campus Performance of Text Mining and Natural Language Processing in Identifying Lung Nodule Characteristics After Low-dose CT Lung Cancer Screening Debra Ritzwoller and Jeff Holzman, Kaiser Permanente Colorado 3:00-3:15 PM Break Hensel Phelps Atrium 3:15-5:00 PM Session 6: Emerging Data from Imaging Technologies Organizer: Doug Shepherd, University of Colorado C-DSLM: Cleared Tissue Digital Scanned Light Microscopy Doug Shepherd, University of Colorado Denver Single-Cell Dynamics of the Proliferation-Quiescence Decision Sabrina Spencer, University of Colorado Boulder Real-Time Quantification of Single RNA Translation Dynamics in Living Cells Tim Stasevich, Colorado State University Three-Dimensional Quantification of the Vascular and Neuronal Network within Intact Rat Eyes using Simplified Cleared Tissue Light-Sheet Fluorescence Microscopy (15 minutes) Jasmine Singh, University of Colorado Anschutz Medical Campus 6:00-8:00 PM Casual Dinner with Awards and Officer Introductions
Friday, June 3, 2016 7:30-8:30 AM Continental Breakfast Hensel Phelps Atrium 8:30-10:15 AM Session 7: Approaches to Estimate Time-Varying Connectivity from fmri Data Organizer: Vince Calhoun, University of New Mexico Dynamic Brains, Dynamic Minds: What Dynamic Functional Connectivity Can Tell Us About Spontaneous Cognition Jessica Andrews-Hanna, University of Colorado Boulder Dynamic Brain Network Connectivity: Some New Approaches and Continuing Questions Robyn Miller, Cornell University Dynamic Functional Connectivity Networks in fmri Data, a Bayesian Approach Erik Erhardt, University of New Mexico Application of a Global Bayes Factor to Detect a Brain Region Activation (15 minutes) Mozhdeh Forghani, University of Northern Colorado 10:15-10:30 AM Break Hensel Phelps Atrium 10:30-12:00 PM Session 8: Student Paper Award Winners Removing Inter-Subject Technical Variability in Magnetic Resonance Imaging Studies Jean-Philippe Fortin, John Hopkins Bloomberg School of Public Health Scan Length, Shrinkage and Reliability of Resting-State Functional Connectivity in the Human Connectome Project Amanda F. Mejia, Johns Hopkins University Pathway Lasso: Estimate and Select Sparse Mediation Pathways with High Dimensional Mediators Yi Zhao, Brown University
12:00-1:30 PM LUNCH: Student and Faculty Group Lunches Sponsored by the Center for NeuroScience, UCAMC Hensel Phelps Atrium 1:30-3:30 PM Session 9: Analysis of CT Imaging Data Organizer: Nichole Carlson, University of Colorado Anschutz Medical Campus Subtyping Emphysema with Bayesian Nonparametrics and Computed Tomography Phenotypes James Ross, Brigham and Women s Hospital, Harvard Medical School Characterization of Radiologically Based Emphysema Using a Spatial Point Process Framework Brian Vestal, University of Colorado Multilevel Principal Geodesic Analysis for Manifold Representations of Surfaces Derived from CT Images Lucy Robinson, Drexel University