Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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221	Tue, 8/4/2020, 10:00 AM - 2:00 PM		Virtual
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging

1:	An Exploration of the Use of Statistical Machine Learning Techniques to Shorten the Duration of Dynamic PET-FDG Imaging Protocols in a Clinical Context Qi Wu, University College Cork; Finbarr O'Sullivan, University College Cork; Mark Muzi, University of Washington ; David Mankoff, University of Pennsylvania
2:	A Bayesian Incorporated Linear Non-Gaussian Acyclic Model (BiLiNGAM) for Multiple Directed Acyclic Graph Estimation with Application to Causal Brain Connectivity Using fMRI Aiying Zhang, Tulane University; Yu-Ping Wang, Tulane University
3:	Modeling Extremal Dependence of Multi-Channel EEG Data Matheus Bartolo B. Guerrero, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Hernando Ombao, King Abdullah Univ. of Science and Technology (KAUST)
4:	Two-stage stratified PCA for simultaneous dimension reduction and nuisance variable mitigation Sarah M. Weinstein, University of Pennsylvania, Department of Biostatistics, Epidemiology, and Informatics; Kristin A. Linn, University of Pennsylvania, Department of Biostatistics, Epidemiology, and Informatics; Russell Shinohara, University of Pennsylvania
5:	Mixed-Effects Non-Stationary Time Series Bartlomiej Mulewicz, KAUST
6:	Quantification of Pixel-Wise Noise in Clinical Positron Emission Tomography (PET) Images Ran Ren, University College Cork; Jian Huang, University College Cork; Finbarr O'Sullivan, University College Cork; Tian Mou, Karolinska Institutet; Kevin O'Regan, Cork University Hospital
7:	Classifying Brain Edema with Low-Resolution MRI Danni Tu, Univ of Pennsylvania; Dylan Small, University of Pennsylvania; Manu S. Goyal, Department of Radiology, Washington University School of Medicine; Theodore Satterthwaite, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania; Kelly Clark, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
8:	Bayesian Inference for Brain Activity from Multi-Resolution Functional Magnetic Resonance Imaging Andrew Whiteman, University of Michigan; Jian Kang, University of Michigan; Timothy D Johnson, University of Michigan
9:	Discovering Alzheimer’s Disease pathology by neuroimaging and genetic data Kristen Knight, University of Georgia, Department of Statistics; Nicole Lazar, University of Georgia; Liang Liu, University of Georgia

JSM 2020 Online Program

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American Statistical Association