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» Data Mining from Functional Brain Images
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ISBI
2004
IEEE
16 years 13 days ago
A Likelihood-Based Framework for Quantification of Brain Receptor PET Studies in The Pixel Domain
Quantification of receptor binding studies obtained with PET is complicated by tissue heterogeneity in the sampling image elements pixels and voxels. This effect is caused by a li...
József Varga, K. J. Ray Liu, Z. Jane Wang, ...
EMMCVPR
2005
Springer
15 years 5 months ago
Brain Image Analysis Using Spherical Splines
We propose a novel technique based on spherical splines for brain surface representation and analysis. This research is strongly inspired by the fact that, for brain surfaces, it i...
Ying He 0001, Xin Li, Xianfeng Gu, Hong Qin
ICIP
2008
IEEE
16 years 1 months ago
Voting-based active contour segmentation of fMRI images of the brain
We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral co...
Gowri Srinivasa, Vivek S. Oak, Siddharth J. Garg, ...
110
Voted
ISBI
2006
IEEE
16 years 13 days ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
FLAIRS
2009
14 years 9 months ago
Mining Default Rules from Statistical Data
In this paper, we are interested in the qualitative knowledge that underlies some given probabilistic information. To represent such qualitative structures, we use ordinal conditi...
Gabriele Kern-Isberner, Matthias Thimm, Marc Finth...