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  3. Computing in Science and Engineering
  4. Biomedical Visual Computing: Case Studies and Challenges
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Category: Computing in Science & Engineering
By MTech Projects
MTech Projects
31.Jan
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Biomedical Visual Computing: Case Studies and Challenges

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.

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Previous article: Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes Next article: Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
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