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471
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Thu, 8/6/2020,
10:00 AM -
2:00 PM
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Virtual
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Contemporary Statistical Methods for Imaging Data Analysis — Contributed Papers
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Section on Statistics in Imaging
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Chair(s): Dan Rowe, Marquette University
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Pill Shape Classification using Imbalanced Data with Human-Machine Hybrid Explainable Model
William Lamberti, George Mason Univeristy
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Dynamic Diseased Region Detection for Longitudinal Medical Imaging Data
Chao Huang, Florida State University
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Mixtures of Gaussian Random Fields and Its Application in Analyzing fMRI Data
Mozhdeh Forghani, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
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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
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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)
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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)
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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
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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
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