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Biomedical Visual Computing: Case Studies and Challenges
1University of Utah.
Computing in Science & Engineering
|May 1, 2012
Abstract
None:
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.