• Conference Object  

      An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging 

      Constantinou, Ioannis P.; Pattichis, Marios S.; Tanos, Vasilios; Neofytou, Marios S.; Pattichis, Constantinos S. (2012)
      The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for ...
    • Conference Object  

      An AM-FM model for motion estimation in atherosclerotic plaque videos 

      Murray, V.; Murillo, S. E.; Pattichis, Marios S.; Loizou, Christos P.; Pattichis, Constantinos S.; Kyriacou, Efthyvoulos C.; Nicolaïdes, Andrew N. (2007)
      We present new multidimensional Amplitude-Modulation Frequency-Modulation (AM-FM) methods for motion estimation. For a single AM-FM component we show that the optical flow constraint leads to separate equations for amplitude ...
    • 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 ...
    • Conference Object  

      AM-FM texture image analysis in brain white matter lesions in the progression of multiple sclerosis 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Pattichis, Constantinos S. (2010)
      We present the use of multiscale Amplitude Modulation Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with disease progression. We analyze lesions and normal appearing white ...
    • Conference Object  

      AM-FM texture image analysis in multiple sclerosis brain white matter lesions 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Seimenis, Ioannis; Pattichis, Constantinos S. (2010)
      In this study we investigate the use of multiscale Amplitude Modulation-Frequency Modulation (AM-FM) methods for analyzing brain white matter lesions that are associated with multiple sclerosis MRI lesions imaged at 0 and ...
    • Article  

      AM-FM texture image analysis of the intima and media layers of the carotid artery 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Christodoulou, C. S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N.; Pattichis, Constantinos S. (2009)
      The purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media ...
    • Article  

      AM-FM texture segmentation in electron microscopic muscle imaging 

      Pattichis, Marios S.; Pattichis, Constantinos S.; Avraam, Maria; Bovik, Alan Conrad; Kyriacou, Kyriacos C. (2000)
      This paper describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: 1) normal sarcomere ultrastructural ...
    • 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 ...
    • 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. ...
    • Article  

      Despeckle filtering for multiscale amplitude-modulation frequency-modulation (AM-FM) texture analysis of ultrasound images of the intima-media complex 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Nicolaïdes, Andrew N.; Pattichis, Constantinos S. (2014)
      The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of cardiovascular disease (CVD). Typically, the IMT grows with age and this is used as a sign of increased risk of ...
    • Conference Object  

      Evaluation of spatial dependence matrices on multiscale instantaneous amplitude for mammogram classification 

      Petroudi, Styliani; Constantinou, Ioannis P.; Pattichis, Marios S.; Tziakouri, Chrysa H.; Tziakouri, Chrysa H.; Pattichis, Constantinos S. (Springer Verlag, 2015)
      Breast cancer is the most common cancer in women. Mammography is the only breast cancer screening method that has proven to be effective. Mammographic breast density is increasingly assessed towards the development of more ...
    • 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 ...
    • Conference Object  

      Multiscale AM-FM image reconstructions based on elastic net regression and Gabor filterbanks 

      Constantinou, Ioannis P.; Pattichis, Marios S.; Pattichis, Constantinos S. (IEEE Computer Society, 2013)
      The paper proposes the use of elastic net regression for reconstructing images from AM-FM components. Current AM-FM reconstruction methods are based on Dominant Component Analysis (DCA), multi-scale DCA, and Channel Component ...
    • Article  

      Multiscale amplitude-modulation frequency-modulation (AM-FM) texture analysis of ultrasound images of the intima and media layers of the carotid artery 

      Loizou, Christos P.; Murray, V.; Pattichis, Marios S.; Pantzaris, Marios C.; Pattichis, Constantinos S. (2011)
      The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of cardiovascular disease (CVD). Clinically, there is strong interest in identifying how the composition and texture ...
    • 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 ...
    • Conference Object  

      New image processing models for opacity image analysis in chest radiographs 

      Pattichis, Marios S.; Muralldharan, H.; Pattichis, Constantinos S.; Soliz, P. (Institute of Electrical and Electronics Engineers Inc., 2002)
      The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (ROI). We derive our new image processing ...
    • 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 ...