A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...