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» Increasing statistical power in medical image analysis
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MICCAI
2009
Springer
14 years 8 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter
CBMS
2001
IEEE
13 years 11 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
ISBI
2008
IEEE
14 years 8 months ago
Statistical colocalization in biological imaging with false discovery control
In this paper, we present a novel object-based statistical colocalization method. Our colocalization relies on multiple hypothesis tests on the distances between all pairs of the ...
Bo Zhang, Nicolas Chenouard, Jean-Christophe Olivo...
MICCAI
2007
Springer
14 years 8 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
MICCAI
2007
Springer
14 years 8 months ago
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preproces...
Marc Niethammer, Martin Reuter, Franz-Erich Wolter...