Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
We present an iterative bootstrapping framework to create and analyze statistical atlases of bony anatomy such as the human pelvis from a large collection of CT data sets. We creat...
Gouthami Chintalapani, Lotta Maria Ellingsen, Ofri...
Abstract. The extraction of quantitative information through Intravascular Ultrasound (IVUS) images is a very important goal for the diagnostic and the therapy in atherosclerotic v...
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Social network-based systems usually suffer from two major limitations: they tend to rely on a single data source (e.g. email traffic), and the form of network patterns is often p...
Yevgeniy Eugene Medynskiy, Nicolas Ducheneaut, Aym...