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» MRA data segmentation using level sets
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102
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ISVC
2005
Springer
15 years 6 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»
14 years 11 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...
93
Voted
VISSYM
2003
15 years 2 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...
123
Voted
ISBI
2011
IEEE
14 years 4 months 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...
103
Voted
TSP
2008
114views more  TSP 2008»
15 years 18 days 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