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Bayesian Covariate Selection in Mixed-Effects Models For Longitudinal Shape Analysis
The goal of longitudinal shape analysis is to understand how anatomical shape changes over time, in response to biological processes, including growth, aging, or disease. In many imaging studies, it is also critical to understand how these shape changes are affected by other factors, such as sex, di...
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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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/PMC5225990/ https://ncbi.nlm.nih.gov/pubmed/28090246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2016.7493352 |
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