Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
نویسندگان
چکیده
منابع مشابه
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 the subjects do not have fluorodeoxyglucose positron emission tomography (FDG-PET) scans; many la...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2012
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2012.03.059