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    Biomedical Visual Computing: Case Studies and Challenges

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    Type
    Article
    Authors
    Johnson, Christopher
    KAUST Grant Number
    KUS-C7–076-04
    Date
    2012-01
    Permanent link to this record
    http://hdl.handle.net/10754/597676
    
    Metadata
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    Abstract
    Advances in computational geometric modeling, imaging, and simulation let researchers build and test models of increasing complexity, generating unprecedented amounts of data. As recent research in biomedical applications illustrates, visualization will be critical in making this vast amount of data usable; it's also fundamental to understanding models of complex phenomena. © 2012 IEEE.
    Citation
    Johnson C (2012) Biomedical Visual Computing: Case Studies and Challenges. Computing in Science & Engineering 14: 12–21. Available: http://dx.doi.org/10.1109/mcse.2011.92.
    Sponsors
    I'm grateful for the significant help I received from Rob MacLeod, Tolga Tasdizen, Liz jurris, jens Krüger, Tom Fogal, Nathan Galli, and Katharine Coles, and for the data from our biomedical collaborators john Triedman, Matt Jolley, Robert Marc, Bryan Jones, Erik Jorgenson, and Chris Butson. This work was supported in part by grants from the US National Science Foundation, the US Department of Energy, a grant from King Abdullah University of Science and Technology (award no. KUS-C7–076-04), and from the US National Institutes of Health/National Center for Research Resource's Center for Integrative Biomedical Computing, grant no. 2P47 RR0112553–12.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    Computing in Science & Engineering
    DOI
    10.1109/mcse.2011.92
    PubMed ID
    22545005
    ae974a485f413a2113503eed53cd6c53
    10.1109/mcse.2011.92
    Scopus Count
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