Name
Title | ||
|---|---|---|
Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference. |
Abstract | ||
|---|---|---|
A convenient way to analyze blood-oxygen-level-dependent functional magnetic resonance imaging data consists of modeling the whole brain as a stationary, linear system characterized by its transfer function: the hemodynamic response function (HRF). HRF estimation, though of the greatest interest, is still under investigation, for the problem is ill-conditioned. In this paper, we recall the most ge... |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/TMI.2004.831221 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Bayesian methods,Hemodynamics,Intelligent networks,Magnetic resonance imaging,Brain modeling,Data analysis,Image analysis,Magnetic analysis,Linear systems,Transfer functions | Bayesian inference,Linear system,Computer science,Posterior probability,Artificial intelligence,Estimation theory,Mathematical optimization,Inference,Algorithm,Bayesian network,Graphical model,Machine learning,Bayesian probability | Journal |
Volume | Issue | ISSN |
23 | 8 | 0278-0062 |
Citations | PageRank | References |
20 | 2.14 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guillaume Marrelec | 1 | 426 | 29.12 |
| Philippe Ciuciu | 2 | 452 | 50.82 |
| Mélanie Pélégrini-Issac | 3 | 275 | 21.68 |
| Habib Benali | 4 | 837 | 68.94 |