Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering
By Yoshinobu Sato, Carl-Fredrik Westin, Abhir H. Bhalerao, S. Nakajima, N. Shiraga, S. Tamura, Ron Kikinis. IEEE Transactions on Visualization and Computer Graphics, 2000
389 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/fd5841827e3528ccfa3b78062ebcad093f014e27
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Gordon L. Kindlmann
- Pascal Fua
- Joe Michael Kniss
- Vincent Lepetit
- Charles D. Hansen
- Amos Sironi
- Torsten Möller
- Georgios Georgiadis
In Computer Graphics and Computer-Aided Design
- Gordon L. Kindlmann
- Joe Michael Kniss
- Vincent Lepetit
- Pascal Fua
- Charles D. Hansen
- Torsten Möller
- Melanie Tory
In Computer Vision and Pattern Recognition
- Pascal Fua
- Vincent Lepetit
- Luc Van Gool
- Andrew Zisserman
- Andrea Vedaldi
- Jitendra Malik
- Xiaogang Wang
- Ming-Hsuan Yang
Citations in the corpus
- Projection onto the Manifold of Elongated Structures for Accurate Extraction (2015, methodology): “In [37, 30, 27] for example, the eigenvalues of the Hessian matrix are combined to obtain a score value that is maximal for voxels lying on a 2D surface.”
- Multidimensional Transfer Functions for Interactive Volume Rendering (2002, background): “Other work involving multidimensional transfer functions uses various types of second derivatives in order to distinguish features in the volume according to their shape and curvature characteristics [15], [38].”
- Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets (2001, background): “Other work involving multi-dimensional transfer functions uses various types of second derivatives in order to distinguish features in the volume according to their shape and curvature characteristics [11, 30].”