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MICCAI
2008
Springer
16 years 5 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...
MICCAI
2009
Springer
16 years 5 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
ICIP
2009
IEEE
16 years 5 months ago
Circular Blurred Shape Model For Symbol Spotting In Documents
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
MICCAI
2006
Springer
16 years 5 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
MICCAI
2007
Springer
16 years 5 months ago
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and ...
Arnau Oliver, Joan Martí, Jordi Freixenet, ...