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» Characterization of Neuropathological Shape Deformations
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MICCAI
2000
Springer
13 years 9 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos
IPMI
2001
Springer
14 years 7 months ago
Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
This paper presents a Bayesian multi-scale three dimensional deformable template approach based on a medial representation for the segmentation and shape characterization of anatom...
Sarang C. Joshi, Stephen M. Pizer, P. Thomas Fletc...
ICVGIP
2008
13 years 7 months ago
Object Category Recognition with Projected Texture
Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
Avinash Sharma, Anoop M. Namboodiri
MICCAI
2007
Springer
14 years 7 months ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Hervé Delingette, María Jimena Costa...
ICCV
1995
IEEE
13 years 9 months ago
FORMS: A Flexible Object Recognition and Modelling System
Abstract. We describe a flexible object recognition and modelling system (FORMS) which represents and recognizes animate objects from their silhouettes. This consists of a model fo...
Song Chun Zhu, Alan L. Yuille