Jeong, Won-Ki - Center for Brain Science, Harvard University

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Jeong, Won-Ki - Center for Brain Science, Harvard University

Direct reconstruction of displaced subdivision surface from unorganized points Won Ki Jeong
Subdivision Surface Simplification Won-Ki Jeong, Kolja Kahler, and Hans-Peter Seidel
Volume Graphics (2006) T. Mller, R. Machiraju, T. Ertl, M. Chen (Editors)
A FAST EIKONAL EQUATION SOLVER FOR PARALLEL SYSTEMS WON-KI JEONG AND ROSS T. WHITAKER
Automatic Generation of Subdivision Surface Head Models from Point Won-Ki Jeong Kolja Kahler Jorg Haber Hans-Peter Seidel
Copyright by SIAM. Unauthorized reproduction of this article is prohibited. SIAM J. SCI. COMPUT. c 2008 Society for Industrial and Applied Mathematics
Markov Surfaces: A Probabilistic Framework for User-Assisted Three-Dimensional Image
Using Growing Cell Structures for Surface Reconstruction I.P. Ivrissimtzis W-K. Jeong H-P. Seidel
University of Utah Technical Report UUCS-07-010 A Fast Iterative Method for a Class of
I N F O R M A T I K Neural Meshes: Statistical Learning
A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in
Neural Meshes: Statistical Learning based on Normals W.-K. Jeong, I.P. Ivrissimtzis, and H.P.-Seidel
To appear: IEEE Conference on Visualization, October 2007 Interactive Visualization of Volumetric White Matter Connectivity in
Direct reconstruction of a displaced subdivision surface from unorganized points
Neural Mesh Ensembles Ioannis Ivrissimtzis