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ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
14 years 1 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
DSSCV
2005
Springer
14 years 1 months ago
Histogram Statistics of Local Model-Relative Image Regions
Abstract. We present a novel approach to statistically characterize histograms of model-relative image regions. A multiscale model is used as an aperture to define image regions a...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
TMI
2010
165views more  TMI 2010»
13 years 5 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
CVPR
2007
IEEE
14 years 9 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
CVPR
2009
IEEE
14 years 2 months ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...