Anastasios Zafeiropoulos

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Multiple sclerosis (MS) is an autoimmune disorder of myelin destruction. Blood-brain-barrier (BBB) disruption precedes pathological or clinical findings and could involve mediators from perivascular brain mast cells, such as histamine and vascular endothelial growth factor (VEGF). Mast cells could be activated by many triggers, including acute stress that(More)
This paper investigates the problem of the real-time integration and processing of multimedia metadata collected by a distributed sensor network. The discussed practical problem is the efficiency of the technologies used in creating a Knowledge Base in real-time. Specifically, an approach is proposed for the real-time, rule-based semantic enrichment of(More)
Much interest has arisen recently on the access to and management of remote instrumentation and laboratory equipment in general. The complexity of activities related to these topics can be summarized under the name of Remote Instrumentation Services, where the term “instrumentation” includes any kind of experimental equipment, and the term(More)
The management of next generation networks becomes increasingly less effective using traditional approaches that rely on human intervention to realise operational goals. Networks are becoming larger in scale, more dynamic and more heterogeneous. Self-management is a paradigm shift from today’s management models, aiming at enabling network nodes to self(More)
Hemoglobin (Hb) disorders are common, potentially lethal monogenic diseases, posing a global health challenge. With worldwide migration and intermixing of carriers, demanding flexible health planning and patient care, hemoglobinopathies may serve as a paradigm for the use of electronic infrastructure tools in the collection of data, the dissemination of(More)
Research efforts at network design in the area of Autonomic Networking and Self-Managing Networks have reached a maturity level that forms a strong foundation toward standardization of architectural principles of the Self-Managing Future Internet. Therefore, an Industry Specification Group (ISG) on Autonomic network engineering for the self-managing Future(More)
Segmentation techniques based on Active Contour Models have been strongly benefited from the use of prior information during their evolution. Shape prior information is captured from a training set and is introduced in the optimization procedure to restrict the evolution into allowable shapes. In this way, the evolution converges onto regions even with weak(More)