Knowledge management (KM) is the research field aimed to create, organize, and store explicit knowledge for easy access and manipulation, whereas e-learning is concerned with del...
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. The idea of...
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Background: Molecular maps have been developed for many species, and are of particular importance for varietal development and comparative genomics. However, despite the existence...
This work describes and compares two different methods for identifying growth patterns in preterm infants during the second year of development. One method is based on creating an...
Paul Aljabar, Kanwal K. Bhatia, Joseph V. Hajnal, ...