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A Feature-based Developmental Model of the Infant Brain in Structural MRI

In this paper, anatomical development is modeled as a collection of distinctive image patterns localized in space and time. A Bayesian posterior probability is defined over a random variable of subject age, conditioned on data in the form of scale-invariant image features. The model is automatically...

詳細記述

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書誌詳細
主要な著者: Toews, Matthew, Wells, William M., Zöllei, Lilla
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4009075/
https://ncbi.nlm.nih.gov/pubmed/23286050
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