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02/18/2023
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data
This study proposes a novel heterogeneous graph convolutional neural net...
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10/26/2020
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
This paper revisits spectral graph convolutional neural networks (graph-...
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10/06/2020
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering
Deep neural networks have recently been recognized as one of the powerfu...
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11/07/2019
Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
Heat diffusion has been widely used in brain imaging for surface fairing...
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03/21/2019
Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
We developed a convolution neural network (CNN) on semi-regular triangul...
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09/23/2014
Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images
We present a novel kernel regression framework for smoothing scalar surf...
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10/10/2013
Bayesian Estimation of White Matter Atlas from High Angular Resolution Diffusion Imaging
We present a Bayesian probabilistic model to estimate the brain white ma...
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09/25/2013
Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis
We propose a large deformation diffeomorphic metric mapping algorithm to...
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07/24/2011
