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DAGM
2006
Springer
15 years 1 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
ISBI
2009
IEEE
15 years 4 months ago
A New Interactive Method for Coronary Arteries Segmentation Based on Tubular Anisotropy
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The ...
Fethallah Benmansour, Laurent D. Cohen
CVPR
2010
IEEE
15 years 3 months ago
Generalized Simultaneous Registration and Segmentation
Simultaneous registration and segmentation (SRS) provides a powerful framework for tracking an object of interest in an image sequence. The state-of-the-art SRSbased tracking meth...
Pratim Ghosh, Mehmet Emre Sargin, B.S. Manjunath
PAMI
2007
155views more  PAMI 2007»
14 years 9 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
MICCAI
2001
Springer
15 years 2 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...