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» Modeling non-gaussian noise for robust image analysis
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CVPR
2000
IEEE
14 years 1 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
BMCBI
2007
207views more  BMCBI 2007»
13 years 8 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
SMI
2006
IEEE
183views Image Analysis» more  SMI 2006»
14 years 2 months ago
The Generalized Shape Distributions for Shape Matching and Analysis
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
Yi Liu, Hongbin Zha, Hong Qin
MIA
2010
95views more  MIA 2010»
13 years 3 months ago
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data
A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in ...
Swati Sharma, Vincent Noblet, François Rous...
MICCAI
2003
Springer
14 years 9 months ago
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance
Abstract. When developing statistical models of normal brain perfusion, two questions are of crucial interest: How well does an atlas describe normality and how sensitive is it at ...
Torbjørn Vik, Fabrice Heitz, Jean-Paul Arms...