Sciweavers

63 search results - page 3 / 13
» Conditional Variability of Statistical Shape Models Based on...
Sort
View
135
Voted
ISBI
2002
IEEE
16 years 1 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...
113
Voted
IJCV
2007
146views more  IJCV 2007»
15 years 1 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-...
108
Voted
ICML
2005
IEEE
16 years 1 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
93
Voted
MICCAI
2009
Springer
15 years 10 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,...
104
Voted
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 1 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...