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» MRA data segmentation using level sets
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ISVC
2005
Springer
14 years 2 months ago
Riemannian Mean Curvature Flow
In this paper we explicitly derive a level set formulation for mean curvature flow in a Riemannian metric space. This extends the traditional geodesic active contour framework whi...
Raúl San José Estépar, Steven...
TVCG
2010
151views more  TVCG 2010»
13 years 7 months ago
Uncertainty-Aware Guided Volume Segmentation
—Although direct volume rendering is established as a powerful tool for the visualization of volumetric data, efficient and reliable feature detection is still an open topic. Us...
Jörg-Stefan Praßni, Timo Ropinski, Klau...
VISSYM
2003
13 years 10 months ago
Improving Topological Segmentation of Three-dimensional Vector Fields
We present three enhancements to accelerate the extraction of separatrices of three-dimensional vector fields, using intelligently selected “sample” streamlines. These enhanc...
Karim Mahrous, Janine Bennett, Bernd Hamann, Kenne...
ISBI
2011
IEEE
13 years 26 days ago
Skull-stripping with deformable organisms
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
Gautam Prasad, Anand A. Joshi, Paul M. Thompson, A...
TSP
2008
114views more  TSP 2008»
13 years 9 months ago
Universal Switching Linear Least Squares Prediction
We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
Suleyman Serdar Kozat, Andrew C. Singer