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Distributed Ontological Encoding Through Symbol Recirculation.

Costa J.

Master's Thesis

Advisors: Dr. Pablo Duboué, Dr. Francisco Tamarit.

F.A.M.A.F., Universidad Nacional de Córdoba

Argentina, 2003.

The goal was to obtain, through symbol recirculation using neural networks, distributed, "intelligent" representations of the nodes in an ontology that incorporate semantic knowledge about their role in the network. Such ontologies were extracted from WordNet. The expressiveness of the results was extensively tested. The method may be used in the context of automatic word sense disambiguation.

Publications

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Segmentation of Anatomical Structures of the Lower Abdomen using 3D Deformable Surfaces.

Costa, J.
Ph.D. Thesis, March 2008
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An Efficient Locally Affine Framework for the Smooth Registration of Anatomical Structures.

Commowick O., Arsigny V., Isambert A., Costa J., et al.
Medical Image Analysis 2008
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Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models.

Costa J., et al.
MICCAI 2007
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Automatic Segmentation of the Bladder Using Deformable Models.

Costa, J., et al.
ISBI 2007
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An Efficient Locally Affine Framework for the Registration of Anatomical Structures.

Commowick O., Arsigny V., Costa J., Ayache N. and Malandain G.
ISBI 2006
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Towards an automatic delineation of lower abdomen structures for conformational radiotherapy based on CT images.

Costa J., et al.
SFPM 2005.
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Distributed Ontological Encoding Through Symbol Recirculation.

Costa J., Duboue P.
ASAI 2004.
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Distributed Ontological Encoding Through Symbol Recirculation.

Costa J.
Master's Thesis, 2003.