Variational Bayes inference of spatial mixture models for segmentation.
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Brain anatomical structure segmentation by hybrid discriminative/generative models.Fast joint detection-estimation of evoked brain activity in event-related FMRI using a variational approachThree-dimensional coupled-object segmentation using symmetry and tissue type informationRobust reproducible resting state networks in the awake rodent brainObjective Bayesian fMRI analysis-a pilot study in different clinical environmentsLoAd: a locally adaptive cortical segmentation algorithm.Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes.Dynamic state allocation for MEG source reconstruction.Two-stage multishape segmentation of brain structures using image intensity, tissue type, and location information.Graph-partitioned spatial priors for functional magnetic resonance images.Deformable templates guided discriminative models for robust 3D brain MRI segmentation.
P2860
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P2860
Variational Bayes inference of spatial mixture models for segmentation.
description
2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年學術文章
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2006年學術文章
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name
Variational Bayes inference of spatial mixture models for segmentation.
@en
Variational Bayes inference of spatial mixture models for segmentation.
@nl
type
label
Variational Bayes inference of spatial mixture models for segmentation.
@en
Variational Bayes inference of spatial mixture models for segmentation.
@nl
prefLabel
Variational Bayes inference of spatial mixture models for segmentation.
@en
Variational Bayes inference of spatial mixture models for segmentation.
@nl
P356
P1476
Variational Bayes inference of spatial mixture models for segmentation.
@en
P2093
Mark W Woolrich
Timothy E Behrens
P304
P356
10.1109/TMI.2006.880682
P577
2006-10-01T00:00:00Z