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CVPR
2004
IEEE
14 years 11 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
ECCV
2002
Springer
14 years 11 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
VIS
2007
IEEE
130views Visualization» more  VIS 2007»
14 years 10 months ago
Interactive Visual Analysis of Perfusion Data
Perfusion data are dynamic medical image data which characterize the regional blood flow in human tissue. These data bear a great potential in medical diagnosis, since diseases can...
Steffen Oeltze, Helmut Doleisch, Helwig Hauser, ...
MICCAI
2008
Springer
14 years 10 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
MICCAI
2006
Springer
14 years 10 months ago
Automatic Detection and Segmentation of Ground Glass Opacity Nodules
Ground Glass Opacity (GGO) is defined as hazy increased attenuation within a lung that is not associated with obscured underlying vessels. Since pure (nonsolid) or mixed (partially...
Jinghao Zhou, Sukmoon Chang, Dimitris N. Metaxas, ...