This project finished in 2013 – now continued by “Medilearn” Goals of the project Given a large database of cardiac images of patients stored with an expert diagnosis, we wish to automatically select the most similar cases to the cardiac images of a new patient. Application This is important, for instance to try and estimate...more
This project finished in 2013, now continued by Z-CloudFlow and MediLearn. Goals of the project Joint acquisition of neuroimaging and genetic data on large cohorts of subjects is a new approach used to assess and understand the variability that exists between individuals, and that has remained poorly understood so far. As both neuroimaging- and...more
This project finished in 2013. Project Summary The goal of this research is to improve the applicability of constraint-based or heuristic-based solvers to complex scientific problems. As demonstrated by a large literature, e-Scientists already benefit from the use of search procedures to tackle a large variety of important problems. Unfortunately, these applications suffer from the...more
Networks are used to model a wide range of phenomena, from computer networks to similarities between genes, brain activity, and social interactions between individuals (social networks) or organizations. Yet, making sense of these complex networks requires more than modeling and statistics. Network visualization has progressed dramatically in recent years and provides novel and effective ways...more
Video Understanding : Understanding, searching and organizing dynamic video content Automatic understanding and interpretation of video content 1 is a key enabling factor for a range of practical applications such as organizing and searching home videos or content-aware video advertising. For example, interpreting videos of “making a birthday cake” or “planting a tree” could provide...