In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save trem...
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
Relational index structures, as for instance the Relational Interval Tree, the Relational R-Tree, or the Linear Quadtree, support efficient processing of queries on top of existin...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...