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Fast and Sequence-Adaptive Whole-Brain Segmentation Using Parametric Bayesian Modeling
Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires accurate automated segmentation of anatomical structures. A desirable feature for such segmentation methods is to be robust against changes in acquisition platform and imaging protocol. In this paper we validate th...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8117726/ https://ncbi.nlm.nih.gov/pubmed/27612647 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.09.011 |
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