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OBJECTIVES To develop a general structure for semantic image analysis that is suitable for content-based image retrieval in medical applications and an architecture for its efficient implementation. METHODS Stepwise content analysis of medical images results in six layers of information modeling incorporating medical expert knowledge (raw data layer,(More)
The development of a resilient weblog ranking metric within the global blogosphere, capable of identifying the most important or influential weblogs around, forms the central aspect of this paper. Because well-established ranking algorithms for traditional web pages are not perfectly applicable to the deviant linking characteristics of the blogosphere, blog(More)
  • M. Kohnen
  • 2012
Trust management in peer-to-peer (P2P) networks is a current topic. Most of the current work focuses on a “clean routing table”, aiming to keep it free from malicious nodes. We follow a different approach which can be characterized as “clean routing process”: All kinds of nodes may be contained in a node's routing table. During(More)
Knowledge bases have become ubiquitous assets in today's Web. They provide access to billions of statements about real-world entities derived from governmental, institutional, product-oriented, bibliographic, bio-chemical, and many other domain-oriented and general-purpose datasets. The sheer amount of statements that can be retrieved for a given entity(More)
PURPOSE Development of a software for fully automated image analysis of lateral lumbar spine X-rays. MATERIAL AND METHOD Using the concept of active shape models, we developed a software that produces a form model of the lumbar spine from lateral lumbar spine radiographs and runs an automated image segmentation. This model is able to detect lumbar(More)
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