PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by ...
Oct 21, 2005 · PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is ...
PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by ...
A method for the non-rigid, multi-modal, registration of volumetric scans of human hands is presented. PET and MR scans are aligned by optimising the ...
Our method involves fitting a pair of models, based on a set of cylindrical tubes, to the two data sets to be registered and calculating a rigid and a non-rigid.
PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by ...
Bibliographic details on Registration of PET and MR Hand Volumes Using Bayesian Networks.
PET and MR scans are aligned by optimising the configuration of a tube based model using a set of Bayesian networks. Efficient optimisation is performed by ...
Bayesian deep learning allows a practitioner to estimate uncertainty to quantify possible sources of error and reduce the tendency of models to overfit.
We propose a hierarchical Bayesian Gaussian graphical modeling approach which models the brain functional networks via sparse precision matrices.