Name
Title | ||
|---|---|---|
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation |
Abstract | ||
|---|---|---|
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as well as spatially adaptive temporal priors enables adaptation to the local characteristics of the estimated responses. We utilize an approximate variational Bayesian framework and obtain a fully automatic fusion algorithm. Simulation results demonstrate that the proposed algorithm outperforms existing EEG/fMRI fusion methods. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495153 | Acoustics Speech and Signal Processing |
Keywords | Field | DocType |
Bayes methods,biomedical MRI,electroencephalography,image fusion,medical image processing,EEG,approximate variational Bayesian framework,common generative model,fMRI,spatially adaptive priors,symmetrical fusion algorithm,variational distribution approximation,EEG,fMRI,total variation (TV),variational Bayesian methods | Approximation algorithm,Image fusion,Pattern recognition,Computer science,Variational Bayesian methods,Artificial intelligence,Prior probability,EEG-fMRI,Electroencephalography,Bayesian probability,Generative model | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-4296-6 | 978-1-4244-4296-6 | 1 |
PageRank | References | Authors |
0.36 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Luessi | 1 | 179 | 10.00 |
| S. Derin Babacan | 2 | 534 | 26.60 |
| Rafael Molina | 3 | 1439 | 103.16 |
| James R Booth | 4 | 131 | 15.77 |
| Aggelos K. Katsaggelos | 5 | 3410 | 340.41 |