144 citations · 224 across the 9 of their papers we have counts for
12 papers
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang, Moo K. Chung, Anqi Qiu +1
This paper revisits spectral graph convolutional neural networks (graph-CNNs) given in Defferrard (2016) and develops the Laplace-Beltrami CNN (LB-CNN) by replacing the graph Lapla…
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
Shih-Gu Huang, Moo K. Chung, Anqi Qiu +1
Deep neural networks have recently been recognized as one of the powerful learning techniques in computer vision and medical image analysis. Trained deep neural networks need to be…
Statistical Analysis of Dynamic Functional Brain Networks in Twins
Moo K. Chung, Shih-Gu Huang, Tananun Songdechakraiwut +2
Recent studies have shown that functional brain brainwork is dynamic even during rest. A common approach to modeling the brain network in whole brain resting-state fMRI is to compu…
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu +1
Heat diffusion has been widely used in brain imaging for surface fairing, mesh regularization and cortical data smoothing. Motivated by diffusion wavelets and convolutional neural…
Statistical Model for Dynamically-Changing Correlation Matrices with Application to Brain Connectivity
Shih-Gu Huang, S. Balqis Samdin, Chee-Ming Ting +2
Background: Recent studies have indicated that functional connectivity is dynamic even during rest. A common approach to modeling the dynamic functional connectivity in whole-brain…
Rapid Acceleration of the Permutation Test via Slow Random Walks in the Permutation Group
Moo K. Chung, Yixian Wang, Shih-Gu Huang +1
The permutation test is an often used test procedure in brain imaging. Unfortunately, generating every possible permutation for large-scale brain image datasets such as HCP and ADN…