1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
Caoqiang Liu, Hui Ji, Anqi Qiu
We developed a convolution neural network (CNN) on semi-regular triangulated meshes whose vertices have 6 neighbours. The key blocks of the proposed CNN, including convolution and…
Diffeomorphic Metric Mapping of High Angular Resolution Diffusion Imaging based on Riemannian Structure of Orientation Distribution Functions
Jia Du, Alvina Goh, Anqi Qiu
In this paper, we propose a novel large deformation diffeomorphic registration algorithm to align high angular resolution diffusion images (HARDI) characterized by orientation dist…