Name
Title | ||
|---|---|---|
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analyis. |
Abstract | ||
|---|---|---|
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 networks on graphs, we present a new fast and accurate numerical scheme to solve heat diffusion on surface meshes. This is achieved by approximating the heat kernel convolution using high degree orthogonal polynomials in... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMI.2020.2967451 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Heating systems,Kernel,Jacobian matrices,Chebyshev approximation,Manifolds,Surface waves,Convolution | Journal | 39 |
Issue | ISSN | Citations |
6 | 0278-0062 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Gu Huang | 1 | 43 | 6.44 |
| Ilwoo Lyu | 2 | 42 | 11.53 |
| Anqi Qiu | 3 | 2 | 2.41 |
| Moo K. Chung | 4 | 707 | 60.36 |