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Functional Nonlinear Mixed Effects Models For Longitudinal Image Data
Motivated by studying large-scale longitudinal image data, we propose a novel functional nonlinear mixed effects modeling (FN-MEM) framework to model the nonlinear spatial-temporal growth patterns of brain structure and function and their association with covariates of interest (e.g., time or diagno...
Tallennettuna:
| Julkaisussa: | Inf Process Med Imaging |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4511397/ https://ncbi.nlm.nih.gov/pubmed/26213453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-19992-4_63 |
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