Abstract—Though biomedical research often draws on knowledge from a wide variety of fields, few visualization methods for biomedical data incorporate meaningful cross-database e...
Michael D. Lieberman, Sima Taheri, Huimin Guo, Fat...
In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of syn...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
We present efficient sequential and parallel algorithms for isosurface extraction. Based on the Span Space data representation, new data subdivision and searching methods are desc...
Han-Wei Shen, Charles D. Hansen, Yarden Livnat, Ch...
Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about t...
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...