Zobrazeno 1 - 10
of 31
pro vyhledávání: '"N. Piliouras"'
Akademický článek
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Autor:
Andreas D. Rabavilas, D. Cavouras, Chrysoula Nikolaou, Charalabos Papageorgiou, Ioannis Kalatzis, Eric Ventouras, N. Piliouras, Ioannis Liappas
Publikováno v:
Pattern Recognition Letters. 26:1691-1700
A multi-probabilistic neural network (multi-PNN) classification structure has been designed for distinguishing one-month abstinent heroin addicts from normal controls by means of the Event-Related Potentials' P600 component, selected at 15 scalp lead
Autor:
Andreas D. Rabavilas, N. Piliouras, Charalabos Papageorgiou, Dionisis Cavouras, Ioannis Kalatzis, Eric Ventouras
Publikováno v:
Computer Methods and Programs in Biomedicine. 75:11-22
A computer-based classification system has been designed capable of distinguishing patients with depression from normal controls by event-related potential (ERP) signals using the P600 component. Clinical material comprised 25 patients with depressio
Publikováno v:
Pattern Recognition Letters. 25:249-258
An efficient classification algorithm based on the cubic least squares mapping (LSM3) and the probabilistic neural network (PNN) classifier is proposed for assessing the carotid plaque's risk of causing brain infarcts. Ultrasound images of 24 high-ri
Publikováno v:
Medical Informatics and the Internet in Medicine. 28:221-230
An image processing method was developed to investigate whether brain SPECT images of patients with diabetes mellitus type II (DMII) and no brain damage differ from those of normal subjects.Twenty-five DMII patients and eight healthy volunteers under
Autor:
N. Piliouras, Dionisis Cavouras, Constantin R. Soldatos, D. Glotsos, E. Ventouras, I. Kalatzis, Andreas D. Rabavilas, Charalambos Papageorgiou
Publikováno v:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2005
In the present study an attempt was made to focus in the differences between Obsessive-Compulsive Disorder (OCD) patients and healthy controls, as reflected by the P600 component of event-related potential (ERP) signals, to locate brain areas that ma
Akademický článek
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Autor:
E. Ventouras, N. Piliouras, A. Tzavaras, Ioannis Kalatzis, I. Trapezanidis, Dionisis Cavouras, E. Monoyiou, N. Kontodimopoulos
Publikováno v:
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
This paper presents the upgrading of biomedical engineering laboratory training at the Department of Medical Instrumentation Technology of the Technological Educational Institution of Athens (TEI-A), taking place in the framework of the "Upgrading of
Publikováno v:
3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.
This paper presents the design and implementation of a computer based image analysis system, employing pattern recognition methods on ultrasound images, for assessing carotid plaque risk of causing brain infarcts. Sixty-one ultrasound images displayi
Autor:
Charalambos Papageorgiou, E. Ventouras, Dionisis Cavouras, N. Piliouras, I. Kalatzis, Andreas D. Rabavilas
Publikováno v:
3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.
This paper describes the design of classification system capable of distinguishing patients with depression from normal controls by event-related potential (ERP) signals using the P600 component. Clinical material comprised twenty-five patients with