• Conference Object  

      AM-FM representations for the characterization of carotid plaque ultrasound Images 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Murray, V.; Pattichis, Marios S.; Nicolaïdes, Andrew N. (2008)
      Stroke is the third leading cause of death in the western world and a major cause of disability in adults. The objective of this work was to investigate the use of AM-FM representations for the characterization of carotid ...
    • Book Chapter  

      Assessment of stroke by analysing carotid plaque morphology 

      Kyriacou, Efthyvoulos C.; Christodoulou, Christodoulos I.; Loizou, Christos P.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (IGI Global, 2009)
      Stroke is the third leading cause of death in the Western world and a major cause of disability in adults. The objective of this work was to investigate morphological feature extraction techniques and the use of automatic ...
    • Article  

      Classification of atherosclerotic carotid plaques using gray level morphological analysis on ultrasound images 

      Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Pattichis, Marios S.; Mavrommatis, A.; Panagiotou, S.; Christodoulou, Christodoulos I.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2006)
      The aim of this study was to investigate the usefulness of gray scale morphological analysis in the assessment of atherosclerotic carotid plagues. Ultrasound images were recorded from 137 asymptomatic and 137 symptomatic ...
    • Article  

      Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images 

      Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Pattichis, Constantinos S.; Mavrommatis, A.; Christodoulou, Christodoulos I.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2009)
      The aim of this study was to investigate the usefulness of multilevel binary and gray scale morphological analysis in the assessment of atherosclerotic carotid plaques. Ultrasound images were recorded from 137 asymptomatic ...
    • Conference Object  

      Classification of satellite cloud imagery based on multi-feature texture analysis and neural networks 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S.; Kyriakou, Kyriaki (2001)
      The aim of this work was to develop a system based on modular neural networks and multi-feature texture analysis that will facilitate the automated interpretation of cloud images. This will speed up the interpretation ...
    • Conference Object  

      Classification of surface electromyographic signals using AM-FM features 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S. (2009)
      The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electro myographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals ...
    • 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 of morphological and other texture features for the characterization of atherosclerotic carotid plaques 

      Christodoulou, Christodoulos I.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Pattichis, Constantinos S.; Nicolaïdes, Andrew N. (2003)
      The extraction of features characterizing the structure of atherosclerotic carotid plaques, obtained by high-resolution ultrasound imaging is important for the correct plaque classification and the estimation of the risk ...
    • Conference Object  

      Comparison of AM-FM features with standard features for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S. (2010)
      In this work AM-FM features extracted from surface electromyographic (SEMG) signals were compared with standard time and frequency domain features, for the classification of neuromuscular disorders at different force levels. ...
    • Conference Object  

      De-speckle filtering in ultrasound imaging of the carotid artery 

      Christodoulou, Christodoulos I.; Loizou, Christos P.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Schizas, Christos N.; Nicolaïdes, Andrew N. (2002)
      The main objective of this paper is to evaluate the classification performance of de-speckle filtering on ultrasound imaging of the carotid atherosclerotic plaque. The following procedure was investigated on 230 images ...
    • Article  

      An integrated system for assessing stroke risk 

      Kyriacou, Efthyvoulos C.; Pattichis, Constantinos S.; Karaolis, Minas A.; Loizou, Christos P.; Christodoulou, Christodoulos I.; Pattichis, Marios S.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2007)
    • Conference Object  

      An integrated system for the assessment of ultrasonic imaging atherosclerotic carotid plaques 

      Pattichis, Constantinos S.; Christodoulou, Christodoulos I.; Pattichis, Marios S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N. (2001)
      The objective of this work is to develop a system that will facilitate the automated characterization of ultrasonic imaging carotid plaques for the identification of individuals with asymptomatic carotid stenosis at risk ...
    • Article  

      A modular neural network decision support system in EMG diagnosis 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Fincham, W. F. (1998)
      Motor unit action potentials (MUAPs) recorded during routine electromyographic (EMG) examination provide important information for the assessment of neuromuscular disorders. The objective of this study was to design, ...
    • Conference Object  

      Multi feature texture analysis for the classification of carotid plaques 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Pantzaris, Marios C.; Tegos, Thomas J.; Nicolaïdes, Andrew N.; Elatrozy, Tarek S.; Sabetai, Michael; Dhanjil, S. (IEEE, 1999)
      The objective of this work was to develop a computer aided system which will facilitate the automated characterization of carotid plaques recorded from high resolution ultrasound images for the identification of individuals ...
    • Article  

      Multi-scale AM-FM analysis for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriakides, Theodoros (2012)
      In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
    • Article  

      Multifeature Texture Analysis for the Classification of Clouds in Satellite Imagery 

      Christodoulou, Christodoulos I.; Michaelides, Silas C.; Pattichis, Constantinos S. (2003)
      The aim of this work was to develop a system based on multifeature texture analysis and modular neural networks that will facilitate the automated interpretation of satellite cloud images. Such a system will provide a ...
    • Conference Object  

      Multiscale morphological analysis of the atherosclerotic carotid plaque 

      Kyriacou, Efthyvoulos C.; Pattichis, Marios S.; Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Kakkos, Stavros K.; Nicolaïdes, Andrew N. (2005)
      The aim of this paper was to investigate the usefulness of multiscale morphological analysis in the assessment of atherosclerotic carotid plagues. Ultrasound images were recorded from 137 asymptomatic and 137 symptomatic ...
    • Conference Object  

      New technique for the classification and decomposition of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (IEEE, 1995)
      The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...
    • Conference Object  

      Non-stationary texture segmentation using an AM-FM model 

      Pattichis, Marios S.; Christodoulou, Christodoulos I.; Pattichis, Constantinos S.; Bovik, Alan Conrad (1997)
      We present a novel method for segmenting non-stationary textures. Our approach uses a multidimensional AM-FM representation for the texture, and provides the FM features to an SOFM-LVQ neural network system that performs ...
    • Book Chapter  

      Plaque classification 

      Kyriacou, Efthyvoulos C.; Christodoulou, Christodoulos I.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kakkos, Stavros K. (Springer-Verlag London Ltd, 2012)
      This chapter presents several classification techniques that could be used in computer-aided systems for the automated characterization of carotid plaques and the identification of individuals with asymptomatic carotid ...