1004 search results - page 25 / 201 » Subspace Models for Functional MRI Data Analysis |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
88
Voted
ISBI
2006
IEEE
15 years 10 months ago
2006
IEEE
Different approaches have been considered so far to cope with the temporal correlation of fMRI data for brain activity detection. However, it has been reported that modeling this ...
103
Voted
MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
ISBI
2008
IEEE
15 years 10 months ago
2008
IEEE
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
168
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ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
Given a set of multi-dimensional points, the skyline contains the best points according to any preference function that is monotone on all axes. In practice, applications that req...