Name
Title | ||
|---|---|---|
Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator. |
Abstract | ||
|---|---|---|
Functional and structural maps, such as a curvature, cortical thickness, and functional magnetic resonance imaging (MRI) maps, indexed over the local coordinates of the cortical manifold play an important role in neuropsychiatric studies. Due to the highly convoluted nature of the cerebral cortex and image quality, these functions are generally uninterpretable without proper methods of association... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TMI.2006.882143 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Smoothing methods,Magnetic resonance imaging,Spline,Kernel,Cerebral cortex,Image quality,Two dimensional displays,Boundary conditions,Hilbert space,Finite element methods | Functional principal component analysis,Coordinate system,Laplace–Beltrami operator,Mathematical analysis,Spherical harmonics,Orthonormal basis,Smoothing,Basis function,Reproducing kernel Hilbert space,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 10 | 0278-0062 |
Citations | PageRank | References |
56 | 2.74 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anqi Qiu | 1 | 571 | 38.34 |
| Dmitri Bitouk | 2 | 238 | 9.65 |
| Michael I Miller | 3 | 3123 | 422.82 |