Browsing by Subject "artificial intelligence"

Now showing items 1-11 of 11

    • Article  

      Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery 

      Loizou, Christos P.; Pattichis, Constantinos S.; Christodoulou, Christodoulos I.; Istepanian, Robert Sh Habib; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2005)
      It is well-known that speckle is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. The recent advancements in ultrasound instrumentation and portable ultrasound devices necessitate the need ...
    • Article  

      A comparative study on filtering protein secondary structure prediction 

      Kountouris, P.; Agathocleous, Michalis; Promponas, Vasilis J.; Christodoulou, Georgia; Hadjicostas, S.; Vassiliades, Vassilis; Christodoulou, Chris C. (2012)
      Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging ...
    • Article  

      Comparing Different Classifiers for Automatic Age Estimation 

      Lanitis, A.; Draganova, C.; Christodoulou, Chris C. (2004)
      We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used ...
    • Article  

      Guest editorial: Introduction to the special section on computational intelligence in medical systems 

      Pattichis, Constantinos S.; Schizas, Christos N.; Pattichis, Marios S.; Micheli-Tzanakou, Litsa Evangelia; Kyriacou, Efthyvoulos C.; Fotiadis, Dimitrios Ioannis (2009)
    • Article  

      An integrated system for the segmentation of atherosclerotic carotid plaque 

      Loizou, Christos P.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2007)
      In this paper, we propose and evaluate an integrated system for the segmentation of atherosclerotic plaque in ultrasound imaging of the carotid artery based on normalization, speckle reduction filtering, and four different ...
    • Article  

      Learning systems in biosignal analysis 

      Schizas, Christos N.; Pattichis, Constantinos S. (1997)
      In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
    • Article  

      Multiscale amplitude-modulation frequency-modulation (AMFM) texture analysis of multiple sclerosis in brain MRI images 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Seimenis, Ioannis; Pantzaris, Marios C.; Pattichis, Constantinos S. (2011)
      This study introduces the use of multiscale amplitude modulation-frequency modulation (AM-FM) texture analysis of multiple sclerosis (MS) using magnetic resonance (MR) images from brain. Clinically, there is interest in ...
    • Article  

      Neural Network Models in EMG Diagnosis 

      Pattichis, Constantinos S.; Schizas, Christos N.; Middleton, Lefkos T. (1995)
      In the past years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add to these techniques the capability of automated medical diagnosis so that all ...
    • Article  

      On the semantics of abstract argumentation 

      Kakas, Antonis C.; Mancarella, P. (2013)
      Arguments need to be judged against other arguments. The decision to accept or reject an argument is generally a global decision that involves examining the same question for other arguments that oppose or can defend the ...
    • Article  

      Region of interest video coding for low bit-rate transmission of carotid ultrasound videos over 3G wireless networks. 

      Tsapatsoulis, Nicolas; Loizou, Christos P.; Pattichis, Constantinos S. (2007)
      Efficient medical video transmission over 3G wireless is of great importance for fast diagnosis and on site medical staff training purposes. In this paper we present a region of interest based ultrasound video compression ...
    • Article  

      Toward nonlinear local reinforcement learning rules through neuroevolution 

      Vassiliades, Vassilis; Christodoulou, Chris C. (2013)
      We consider the problem of designing local reinforcement learning rules for artificial neural network (ANN) controllers. Motivated by the universal approximation properties of ANNs, we adopt an ANN representation for the ...