This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Understanding which ontology characteristics can predict a “good” quality ontology, is a core and ongoing task in the Semantic Web. In this paper, we provide our findings on wh...
VANETs are ad hoc networks in which devices are vehicles moving at high speeds. This kind of network is getting more and more importance since it has many practical and important a...
This paper presents a real-time database modeling complex networks of intersecting roads and walkways in urban virtual environments. The database represents information about the ...
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...