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- Robert G. Aykroyd, J. G. B. Haigh, S. Zimeras
- CVGIP: Graphical Model and Image Processing
- 1996

- S. Zimeras, F. Gerogiakodis
- Mathematical and Computer Modelling
- 2005

- S. Zimeras, Lefteris G. Gortzis
- International journal of telemedicine andâ€¦
- 2012

Telehealth is the exchange of health information and the provision of health care services through electronic information and communications technology, where participants are separated by geographic, time, social and cultural barriers. The shift of telemedicine from desktop platforms to wireless and mobile technologies is likely to have a significantâ€¦ (More)

- S. Zimeras
- 2017

The term uncertainty originates from imperfect knowledge of the processes under question. These errors are sometimes associated with questionable data quality and scarcity; complexity of the phenomena that are treated by models as simplified systems. Important components of uncertainty analysis include (i) qualitative analysis that identifies theâ€¦ (More)

- S. Zimeras
- 2008

In recent years, interest in motion analysis has increased with advances in processing capabilities. The usual input in a motion analysis system is an image sequence, with a corresponding increase in the amount of processed data. A typical motion problem is to analyze the motion within 2D image data corresponding to a sequence of frames, of a 3D scene. Inâ€¦ (More)

- S. Zimeras
- 2007

Modeling of the tomographic weights usually incorporates angle of view, decay and attenuation. A usual assumption is that the gamma camera is a long way from the object, this leads to the approximation that the angle of view subtending the front of the collimator tube is the same as that subtending the back [6]. If, however, the distance between camera andâ€¦ (More)

- S. Zimeras
- 2011

Uncertainty analysis is the part of risk analysis that focuses on the uncertainties in the data characteristics. Important components of uncertainty analysis include qualitative analysis that identifies the uncertainties, quantitative analysis of the effects of the uncertainties on the decision process, and communication of the uncertainty. (Funtowwicz andâ€¦ (More)

- S. Zimeras
- 2006

Markov random fields (M.R.F.) on a lattice system and Gibbs distribution provide a wide area of models for interacting particle systems in image analysis, mechanical physics and statistical mechanics. Physical properties of the neighbors could be explained by partial differential equation (PDE) inside the potential function introducing PDE-MRF models. Inâ€¦ (More)

- S. Zimeras
- 2006

The main goal of texture analysis is to extract useful textural information from an image. The use of Bayesian methods is an approach, which seeks to provide a unified framework in modeling within many different image processes. In this work, spatial behavior of the auto-logistic model in a rectangular lattice would be investigated, concentrating theâ€¦ (More)