Nathan Mays

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We present the design of a novel framework for the visual integration, comparison, and exploration of correlations in spatial and non-spatial geriatric research data. These data are in general high-dimensional and span both the spatial, volumetric domain--through magnetic resonance imaging volumes--and the non-spatial domain, through variables such as age,(More)
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