Search Results - "Panas, S M"

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  1. 1

    A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering by Tolias, Y.A., Panas, S.M.

    Published in IEEE transactions on medical imaging (01-04-1998)
    “…In this paper the authors present a new unsupervised fuzzy algorithm for vessel tracking that is applied to the detection of the ocular fundus vessels. The…”
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    Journal Article
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    Separation of discontinuous adventitious sounds from vesicular sounds using a wavelet-based filter by Hadjileontiadis, L.J., Panas, S.M.

    “…The separation of pathological discontinuous adventitious sounds (DAS) from vesicular sounds (VS) is of great importance to the analysis of lung sounds, since…”
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    Journal Article
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    Adaptive reduction of heart sounds from lung sounds using fourth-order statistics by Hadjileontiadis, L.J., Panas, S.M.

    “…When recording lung sounds, an incessant noise source occurs due to heart sounds. This noise source severely contaminates the breath sound signal and…”
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  4. 4

    Enhancement of bowel sounds by wavelet-based filtering by Hadjileontiadis, L.J., Liatsos, C.N., Mavrogiannis, C.C., Rokkas, T.A., Panas, S.M.

    “…This paper evaluates the performance of an automatic method for structural decomposition, noise removal and enhancement of bowel sounds (BS), based on the…”
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    Journal Article
  5. 5

    A wavelet-based reduction of heart sound noise from lung sounds by HADJILEONTIADIS, L. J, PANAS, S. M

    “…Heart sounds produce an incessant noise during lung sounds recordings. This noise severely contaminates the breath sounds signal and interferes in the analysis…”
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    Journal Article Conference Proceeding
  6. 6

    PAI-S/K: A robust automatic seismic P phase arrival identification scheme by Saragiotis, C.D., Hadjileontiadis, L.J., Panas, S.M.

    “…The automatic and accurate P phase arrival identification is a fundamental problem for seismologists worldwide. Several approaches have been reported in the…”
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    Microwave imaging using the finite-element method and a sensitivity analysis approach by Rekanos, I.T., Panas, S.M., Tsiboukis, T.D.

    Published in IEEE transactions on medical imaging (01-11-1999)
    “…A method for reconstructing the constitutive parameters of two-dimensional (2-D) penetrable scatterers from scattered field measurements is presented. This…”
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    Impedance inversion in eddy current testing of layered planar structures via neural networks by Rekanos, I.T., Theodoulidis, T.P., Panas, S.M., Tsiboukis, T.D.

    Published in NDT & E international (01-04-1997)
    “…The inversion of eddy current probe impedance measurements is widely recognized as a complex theoretical problem whose solution is likely to have a significant…”
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    Journal Article Conference Proceeding
  9. 9

    Bispectral de-noising of the compound action potential for estimation of the nerve conduction velocity distribution by Papadopoulou, F.A., Panas, S.M.

    Published in Medical engineering & physics (01-07-1999)
    “…The distribution of the conduction velocities (DCV) of a peripheral nerve is a powerful diagnostic tool for the assessment of neuromuscular disorders. Its…”
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    Journal Article
  10. 10

    Estimation of the nerve conduction velocity distribution by peeling sampled compound action potentials by Papadopoulou, F.A., Panas, S.M.

    Published in IEEE transactions on magnetics (01-05-1999)
    “…The nerve conduction velocity distribution is estimated by a "peeling" concept method. The compound action potential is a linear summation of the single fiber…”
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    Journal Article Conference Proceeding
  11. 11

    On applying spatial constraints in fuzzy image clustering using a fuzzy rule-based system by Tolias, Y.A., Panas, S.M.

    Published in IEEE signal processing letters (01-10-1998)
    “…A novel approach for enhancing the results of fuzzy clustering by imposing spatial constraints for solving image segmentation problems is presented. We have…”
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    Journal Article
  12. 12

    ECG data compression using wavelets and higher order statistics methods by Istepanian, R.S.H., Hadjileontiadis, L.J., Panas, S.M.

    “…This paper evaluates the compression performance and characteristics of two wavelet coding compression schemes of electrocardiogram (ECG) signals suitable for…”
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    Journal Article
  13. 13

    Eddy currents in an infinite slab due to an elliptic current excitation by Panas, S.M., Papayiannakis, A.G.

    Published in IEEE transactions on magnetics (01-09-1991)
    “…The magnetic flux density and the eddy-current density induced in a conducting plate of finite thickness by an elliptic filamentary current loop parallel to…”
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    Journal Article Conference Proceeding
  14. 14

    An orthogonal least squares-based fuzzy filter for real-time analysis of lung sounds by Mastorocostas, P.A., Tolias, Y.A., Theocharis, J.B., Hadjileontiadis, L.J., Panas, S.M.

    “…Pathological discontinuous adventitious sounds (DAS) are strongly related with the pulmonary dysfunction. Its clinical use for the interpretation of…”
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    Journal Article
  15. 15

    Eddy currents: theory and applications by Kriezis, E.E., Tsiboukis, T.D., Panas, S.M., Tegopoulos, J.A.

    Published in Proceedings of the IEEE (01-10-1992)
    “…The theory and applications of eddy currents induced in conducting materials by time-varying magnetic fields are reviewed. The mathematical methods employed in…”
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    Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions by Tolias, Y.A., Panas, S.M.

    “…We present an adaptive fuzzy clustering scheme for image segmentation, the adaptive fuzzy clustering/segmentation (AFCS) algorithm. In AFCS, the nonstationary…”
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    Automatic P Phase Picking Using Maximum Kurtosis and $kappa$ -Statistics Criteria by Saragiotis, C D, Hadjileontiadis, L J, Rekanos, I T, Panas, S M

    Published in IEEE geoscience and remote sensing letters (01-07-2004)
    “…The identification problem of P seismic phase onset has been addressed, based on the maximum-kurtosis assumption, Kappa -statistics, and the Chebyshev…”
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    Journal Article
  19. 19

    Transmembrane helix prediction in proteins using hydrophobicity properties and higher-order statistics by Kitsas, Ilias K, Hadjileontiadis, Leontios J, Panas, Stavros M

    Published in Computers in biology and medicine (01-08-2008)
    “…Abstract Prediction of the transmembrane (TM) helices is important in the study of membrane proteins. A novel method to predict the location and length of both…”
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