127 search results - page 1 / 26 » Markov Random Field Modelling of fMRI Data Using a Mean Fiel... |
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
TMI
1998
13 years 4 months ago
1998
Abstract—Functional magnetic resonance images (fMRI’s) provide high-resolution datasets which allow researchers to obtain accurate delineation and sensitive detection of activa...
TMI
2008
13 years 4 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
IPMI
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Noise confounds present serious complications to accurate data analysis in functional magnetic resonance imaging (fMRI). Simply relying on contextual image information often resul...