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Lynn Trease

Expertise

Lynn Trease
Lynn Trease

Research interests are in the areas of information visualization, human-information interaction, image processing, image extraction, image reconstruction, and mesh generation.

Education

  • B.S., Computer Science, University of New Mexico, 1990
  • B.S., Design, University of Illinois, 1980

Selected Publications

Trease L, Trease H, Fowler J, Minard K, Corely R, Timchalk C, and Einstein D. 2005. "Building Geometry and Meshes for Simulating the Respiratory System of Mammals." Proceedings of the 9th International Conference on Numerical Grid Generation in Computational Field Simulation 2005, pg. 251-259, San Jose, California, Edit by P Papadopoulos, J Hauser, P Eiseman, J Thompson, B Soni, and R Spitaleri, June 2005.

Trease L, Trease H, Fowler J, Minard K, Einstein D, and Corley R. 2005. "Building the Geometry and Meshes for Modeling and Simulating the Respiratory System of Mammals." 8th US National Congress on Computational Mechanics, Austin Texas, July 25, 2005.

Trease H, L Trease, J Fowler, R Corley, C Timchalk, K Minard, and DA Rommeriem. 2002. "Case Study: Extraction, Image Reconstruction, and Mesh Generation from NMR Volume Image Data from F344 Rats for Computational Biology Applications." 8th International Conference on Numerical Grid Generation in Computational Field Simulations, Honolulu, Hawaii, June 2-6, 2002.

Trease HE, J Fowler, and LL Trease. 2001. "Unstructured, Hybrid Grid Generation Applied to Computational Physiology and Computational Biology." 3rd Symposium on Trends in Unstructured Mesh Generation, 6th U. S. National Congress on Computational Mechanics, Dearborn, MI, August 1-4, 2001.

Jones-Oliveira JB, JS Oliveira, HE Trease, and LL Trease. 2000. "Hybrid Grid Generation Using NWGrid." In Proceedings of the 7th International Conference on Numerical Grid Generation in Computational Field Simulations 2000, Whistler, B.C., Canada, Edit by B Soni, J Hauser, J Thompson, and P Eiesman, ERC-MSU Press, ISBN 0-9651627-3-7, pp. 479-486.

Contact Information

Systems Biology at PNNL

Research & Capabilities

Resources