A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
A mobile medical information system, developed primarily for the purposes of civilian medicine, is expanded to be used in military medicine. A usability study with 7 military phys...
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
FPGAs have appealing features such as customizable internal and external bandwidth and the ability to exploit vast amounts of fine-grain parallelism. In this paper we explore the ...