— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
We present a new reordering model estimated as a standard n-gram language model with units built from morphosyntactic information of the source and target languages. It can be see...
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Surgical simulation is a promising technology for training medical students and planning procedures. One major requirement for these simulation systems is a method to generate real...
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...