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471 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Contemporary Statistical Methods for Imaging Data Analysis — Contributed Papers
Section on Statistics in Imaging
Chair(s): Dan Rowe, Marquette University
Pill Shape Classification using Imbalanced Data with Human-Machine Hybrid Explainable Model
William Lamberti, George Mason Univeristy
Dynamic Diseased Region Detection for Longitudinal Medical Imaging Data
Chao Huang, Florida State University
Mixtures of Gaussian Random Fields and Its Application in Analyzing fMRI Data
Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
Extracting Dermoscopic Features with Neural Style Transfer for Skin Lesion Classification
Yutong Li, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
Online Parameter Estimation for Time Varying VAR Models with Application to Brain Signals
Anass El Yaagoubi Bourakna, KAUST; Hernando Ombao, King Abdullah Univ. of Science and Technology (KAUST)
Unveil the Intrinsic Connectivity Network with Bayesian Dynamic Latent Factor Model
Meini Tang, King Abdullah University of Science and Technology; Chee-Ming Ting, King Abdullah Univ. of Sci. and Tech (KAUST); Hernando Ombao, King Abdullah Univ. of Science and Technology (KAUST)
Investigating the Temporal Pattern of Neuroimaging Based Brain Age Prediction as a Biomarker for Dementia
Alexei Taylor, Drexel University; Zoe Zhang, Drexel University; Ashley Heywood, Northwestern University; Jane Stocks, Northwestern University; Lei Wang, Northwestern University
Removal of Scanner Effects in Covariance Improves Multivariate Pattern Analysis in Neuroimaging Data
Andrew Chen, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Philip Cook, University of Pennsylvania; Nicholas J Tustison, University of Virginia; Joanne Beer, University of Pennsylvania