Ioannis N. Dimou

Learn More
Although magnetic resonance spectroscopy (MRS) methods of 1.5Tesla (T) and 3T have been widely applied during the last decade for noninvasive diagnostic purposes, only a few studies have been reported on the value of the information extracted in brain cancer discrimination. The purpose of this study is threefold. First, to show that the diagnostic value of(More)
Recent advances in the power and resolution capabilities of MR scanners have extended the reach of Magnetic Resonance Spectroscopy as a powerful non-invasive diagnostic tool. Coupled with MRI techniques it can provide accurate identification and quantification of biologically important compounds in soft tissue. In practice sensor calibration issues,(More)
In this work, an artificial neural network (ANN) model is developed and used to predict the presence of ducting phenomena for a specific time, taking into account ground values of atmospheric pressure, relative humidity and temperature. A feed forward backpropagation ANN is implemented , which is trained, validated and tested using atmospheric radiosonde(More)
Information fusion is drawing increasing interest in many application contexts, especially in biomedical decision making. In this work, we provide a framework for addressing the statistical performance of the decision fusion layer. The decision templates (DTs) fusion method is examined as a distance based combiner and statistically compared with an SVM(More)
Support Vector Machines (SVMs) are by now an established tool used in state of the art applications in the biomedical domain. Their prevalence has unveiled both a very effective generalization capability and the inherent positive definiteness constraints in kernel selection. In this work we apply a series of composite kernel extensions stemming from(More)
carrying out this project. ABSTRACT Mobile communication systems based on low or medium earth orbit satellites (LEOs/MEOs) are very effective in covering large geographic regions particularly where the application of a terrestrial cellular system is useless. Compared to geostationary satellites LEOs/MEOs have low propagation delay and loss and use(More)
The automation of diagnostic tools and the increasing availability of extensive medical datasets in the last decade have triggered the development of new analytical methodologies in the context of biomedi-cal informatics. The aim is always to explore a problem's feature space, extract useful information and support clinicians in their time, volume, and(More)
  • 1