Name
Abstract | ||
|---|---|---|
The present study explores a novel spatiotemporal technique using the fixed effect model for the analysis of functional brain images and propose a novel approach to obtain the least square estimation of the signal subspace of activated voxels.Th e spatial and temporal domain correlations are incorporated using appropriate prior models and the possibility of using the Markov property to incorporate the spatial domain correlations are investigated. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45729-1_19 | IPMI |
Keywords | Field | DocType |
novel approach,fixed effect,functional brain image,spatial domain correlation,markov property,novel spatiotemporal technique,fixed effect model,appropriate prior model,activated voxels,spatiotemporal analysis,temporal domain correlation,th e spatial,fixed effects model,functional imaging | Least squares,Markov property,Pattern recognition,Markov model,Computer science,Fixed effects model,Artificial intelligence,Spatial variability,Automatic processing,Spatiotemporal Analysis,Signal subspace | Conference |
ISBN | Citations | PageRank |
3-540-42245-5 | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayasanka Piyaratna | 1 | 0 | 0.34 |
| Jagath C. Rajapakse | 2 | 747 | 83.00 |