SPATIOTEMPORAL MODELING OF DISCRETE-TIME DISTRIBUTION-VALUED DATA APPLIED TO DTI TRACT EVOLUTION IN INFANT NEURODEVELOPMENT

This paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued su...

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Autori principali: Sharma, Anuja, Fletcher, P. Thomas, Gilmore, John H., Escolar, Maria L., Gupta, Aditya, Styner, Martin, Gerig, Guido
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2013
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3892706/
https://ncbi.nlm.nih.gov/pubmed/24443688
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2013.6556567
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