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Issue No.01 - Jan.-Feb. (2012 vol.14)
pp: 12-21
Christopher Johnson , The University of Utah
<p>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.</p>
Biomedical computing, visualization, image analysis, simulation
Christopher Johnson, "Biomedical Visual Computing: Case Studies and Challenges", Computing in Science & Engineering, vol.14, no. 1, pp. 12-21, Jan.-Feb. 2012, doi:10.1109/MCSE.2011.92
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