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Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering

Oct 26, 2020
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative


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Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering

Oct 06, 2020
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative


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Introduction to logistic regression

Aug 28, 2020
Moo K. Chung


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Gaussian kernel smoothing

Jul 19, 2020
Moo K. Chung


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Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis

Nov 07, 2019
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung


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Automatic Identification of Twin Zygosity in Resting-State Functional MRI

Oct 26, 2018
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung


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Heat Kernel Smoothing in Irregular Image Domains

Oct 21, 2017
Moo K. Chung, Yanli Wang, Gurong Wu


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Mapping Heritability of Large-Scale Brain Networks with a Billion Connections {\em via} Persistent Homology

Jun 29, 2016
Moo K. Chung, Victoria Vilalta-Gil, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald


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Persistent Homology in Sparse Regression and Its Application to Brain Morphometry

Mar 09, 2015
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak

* IEEE Transactions on Medical Imaging 2015 34:1928-1939 
* submitted to IEEE Transactions on Medical Imaging 

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Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images

Feb 17, 2015
Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian

* Medical Image Analysis 2015 22:63-76 
* Accepted in Medical Image Analysis 

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Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis

Sep 25, 2013
Jia Du, A. Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu


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