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ERCIMDL
1997
Springer
130views Education» more  ERCIMDL 1997»
13 years 11 months ago
Modelling the Retrieval of Structured Documents Containing Texts and Images
Abstract. We present a model for complex documents possibly consisting of a hierarchically structured set of images or texts. Documents are represented both at the form level (as s...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
MICCAI
2008
Springer
14 years 8 months ago
Markov Dependence Tree-Based Segmentation of Deep Brain Structures
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
Jue Wu, Albert C. S. Chung
MICCAI
2000
Springer
13 years 11 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
MICCAI
2006
Springer
14 years 8 months ago
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT colonoscopy. This method can...
Adrian Barbu, Luca Bogoni, Dorin Comaniciu
ICIP
2002
IEEE
14 years 9 months ago
Exploiting group structure to improve retrieval accuracy and speed in image databases
Most image retrieval systems perform a linear search over the database to find the closest match to a query. However, databases usually exhibit a natural grouping structure into c...
Nuno Vasconcelos