Name
Abstract | ||
|---|---|---|
•Novel fiber clustering approaches based on kernel dictionary learning and sparsity priors.•Priors include: L-0 norm, global sparsity, group sparsity, & manifold regularization.•Clustering analysis and validation on expert labeled set as well as subjects from Human Connectome Project.•Results show proposed approaches group streamlines into plausible bundles, and illustrate the benefits of employing sparsity priors. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2019.06.002 | Pattern Recognition |
Keywords | Field | DocType |
Diffusion MRI,White matter fibers,Clustering,Sparsity priors,Kernel dictionary learning,Human Connectome project | Kernel (linear algebra),Dictionary learning,Human Connectome Project,Pattern recognition,Computer science,Manifold regularization,Artificial intelligence,Streamlines, streaklines, and pathlines,Prior probability,Tractography,Bundle | Journal |
Volume | Issue | ISSN |
95 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| kumar kuldeep | 1 | 1261 | 141.85 |
| Kaleem Siddiqi | 2 | 3259 | 242.07 |
| Christian Desrosiers | 3 | 100 | 23.90 |