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MULTI-SOURCE FEATURE LEARNING FOR JOINT ANALYSIS OF INCOMPLETE MULTIPLE HETEROGENEOUS NEUROIMAGING DATA

Analysis of incomplete data is a big challenge when integrating large-scale brain imaging datasets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiative (ADNI), for example, over half of the subjects lack cerebrospinal fluid (CSF) measurements; an independent half of...

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Autors principals: Yuan, Lei, Wang, Yalin, Thompson, Paul M., Narayan, Vaibhav A., Ye, Jieping
Format: Artigo
Idioma:Inglês
Publicat: 2012
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3358419/
https://ncbi.nlm.nih.gov/pubmed/22498655
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2012.03.059
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