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Dynamic Bayesian network modeling for longitudinal brain morphometry
Identifying interactions among brain regions from structural magnetic-resonance images presents one of the major challenges in computational neuroanatomy. We propose a Bayesian data-mining approach to the detection of longitudinal morphological changes in the human brain. Our method uses a dynamic B...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3254821/ https://ncbi.nlm.nih.gov/pubmed/21963916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.09.023 |
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