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» Vessel Segmentation Using a Shape Driven Flow
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VLSM
2005
Springer
14 years 29 days ago
Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case
Abstract. In this paper we propose a novel variational technique for the knowledge based segmentation of two dimensional objects. One of the elements of our approach is the use of ...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
CVPR
2007
IEEE
14 years 9 months ago
Spatio-temporal Shape and Flow Correlation for Action Recognition
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been autom...
Yan Ke, Rahul Sukthankar, Martial Hebert
ISBI
2011
IEEE
12 years 11 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
WCE
2007
13 years 8 months ago
Numerical Simulation of Cardiovascular Response with VAD Support
—This paper studies the cardiovascular response under heart failure condition supported by two types of ventricular assist devices (VADs): the positive displacement pump and the ...
Theodosios Korakianitis, Yubing Shi
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
14 years 14 days ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis