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114
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MICCAI
2008
Springer
16 years 3 months ago
MRI Bone Segmentation Using Deformable Models and Shape Priors
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
Jérôme Schmid, Nadia Magnenat-Thalman...
113
Voted
IPMI
2003
Springer
16 years 3 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...
ICML
2002
IEEE
16 years 3 months ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...
125
Voted
ISBI
2008
IEEE
16 years 3 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
116
Voted
WWW
2008
ACM
16 years 3 months ago
VoiKiosk: increasing reachability of kiosks in developing regions
One of the several initiatives to bridge the digital divide in developing countries has been the deployment of information kiosks or knowledge centers in villages in rural parts o...
Sheetal K. Agarwal, Arun Kumar, Amit Anil Nanavati...