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» Data Mining from Functional Brain Images
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IJCNN
2006
IEEE
15 years 5 months ago
P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data
— The joint analysis of genetic and brain imaging data is the key to understand the genetic underpinnings of brain dysfunctions in several psychiatric diseases known to have a st...
Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochrei...
MICCAI
2000
Springer
15 years 3 months ago
BrainSuite: An Automated Cortical Surface Identification Tool
We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool pr...
David W. Shattuck, Richard M. Leahy
COMPIMAGE
2010
Springer
15 years 6 months ago
Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imaging
Functional magnetic resonance imaging (fMRI) has become an exceedingly popular technique for studies of human brain activity. Typically, fMRI is performed with >3-mm sampling, s...
David Ress, Sankari Dhandapani, Sucharit Katyal, C...
EMMCVPR
1999
Springer
15 years 3 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
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 ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
NN
2000
Springer
127views Neural Networks» more  NN 2000»
14 years 11 months ago
Neural modeling and functional brain imaging: an overview
This article gives an overview of the different functional brain imaging methods, the kinds of questions these methods try to address and some of the questions associated with fun...
Barry Horwitz, Karl J. Friston, John G. Taylor