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TMI
1998
128views more  TMI 1998»
13 years 7 months ago
Fully Automatic Segmentation of the Brain in MRI
— A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) i...
M. Stella Atkins, Blair T. Mackiewich
PR
2006
122views more  PR 2006»
13 years 7 months ago
Integration of fuzzy spatial relations in deformable models - Application to brain MRI segmentation
This paper presents a general framework to integrate a new type of constraints, based on spatial relations, in deformable models. In the proposed approach, spatial relations are r...
Olivier Colliot, Oscar Camara, Isabelle Bloch
MICCAI
2010
Springer
13 years 6 months ago
Detecting Brain Activation in fMRI Using Group Random Walker
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Bernard Ng, Ghassan Hamarneh, Rafeef Abugharbieh
CEC
2007
IEEE
14 years 2 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
EMMCVPR
1999
Springer
13 years 12 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...