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ISBI
2002
IEEE
14 years 6 months ago
Statistical shape models for segmentation and structural analysis
Biomedical imaging of large patient populations, both cross-sectionally and longitudinally, is becoming a standard technique for noninvasive, in-vivo studies of the pathophysiolog...
Guido Gerig, Martin Andreas Styner, Gábor S...
IJCV
2007
146views more  IJCV 2007»
13 years 5 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...
ICML
2005
IEEE
14 years 6 months ago
Computational aspects of Bayesian partition models
The conditional distribution of a discrete variable y, given another discrete variable x, is often specified by assigning one multinomial distribution to each state of x. The cost...
Mikko Koivisto, Kismat Sood
MICCAI
2009
Springer
14 years 2 months ago
A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning
Tetralogy of Fallot (ToF) is a severe congenital heart disease that mainly affects the right ventricle (RV). It requires surgical repair early in infancy. Chronic regurgitations ma...
Tommaso Mansi, Stanley Durrleman, Boris Bernhardt,...
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 5 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...