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Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy

In this paper, we propose a new method for longitudinal shape analysis that fits a linear mixed-effects model, while simultaneously optimizing correspondences on a set of anatomical shapes. Shape changes are modeled in a hierarchical fashion, with the global population trend as a fixed effect and in...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Spatiotemporal Image Anal Longitud Time Ser Image Data (2012)
Päätekijät: Datar, Manasi, Muralidharan, Prasanna, Kumar, Abhishek, Gouttard, Sylvain, Piven, Joseph, Gerig, Guido, Whitaker, Ross, Fletcher, P. Thomas
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4262964/
https://ncbi.nlm.nih.gov/pubmed/25506622
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-642-33555-6_7
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