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CHIMERA: Clustering of heterogeneous disease effects via distribution matching of imaging patterns

Many brain disorders and diseases exhibit heterogeneous symptoms and imaging characteristics. This heterogeneity is typically not captured by commonly adopted neuroimaging analyses that seek only a main imaging pattern when two groups need to be differentiated (e.g. patients and controls, or clinica...

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Библиографические подробности
Опубликовано в: :IEEE Trans Med Imaging
Главные авторы: Dong, Aoyan, Honnorat, Nicolas, Gaonkar, Bilwaj, Davatzikos, Christos
Формат: Artigo
Язык:Inglês
Опубликовано: 2015
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4821748/
https://ncbi.nlm.nih.gov/pubmed/26452275
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2487423
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