Search Results - "CAVOURAS, D"

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  1. 1

    Highlighting the Potential of Attenuated Total Reflectance - Fourier Transform Infrared (ATR-FTIR) Spectroscopy to Characterize Honey Samples with Principal Component Analysis (PCA) by Ioannou, A. G., Kritsi, E., Sinanoglou, V. J., Cavouras, D., Tsiaka, T., Houhoula, D., Zoumpoulakis, P., Strati, I. F.

    Published in Analytical letters (24-03-2023)
    “…Honey is a natural product of high nutritional value and of particular scientific and economic importance with unique sensory characteristics. Honey samples…”
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    Journal Article
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    Breast Cancer Characterization Based on Image Classification of Tissue Sections Visualized under Low Magnification by Loukas, C., Kostopoulos, S., Tanoglidi, A., Glotsos, D., Sfikas, C., Cavouras, D.

    “…Rapid assessment of tissue biopsies is a critical issue in modern histopathology. For breast cancer diagnosis, the shape of the nuclei and the architectural…”
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    Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer‐aided diagnosis image analysis system by KOSTOPOULOS, S., KONSTANDINOU, C., SIDIROPOULOS, K., RAVAZOULA, P., KALATZIS, I., ASVESTAS, P., CAVOURAS, D., GLOTSOS, D.

    Published in Journal of microscopy (Oxford) (01-10-2015)
    “…Summary Brain tumours are considered one of the most lethal and difficult to treat forms of cancer, with unknown aetiology and lack of any realistic screening…”
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  4. 4

    A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images by Tsantis, S., Dimitropoulos, N., Cavouras, D., Nikiforidis, G.

    “…A hybrid model for thyroid nodule boundary detection on ultrasound images is introduced. The segmentation model combines the advantages of the “á trous”…”
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    Design and implementation of an SVM-based computer classification system for discriminating depressive patients from healthy controls using the P600 component of ERP signals by Kalatzis, I., Piliouras, N., Ventouras, E., Papageorgiou, C.C., Rabavilas, A.D., Cavouras, D.

    “…A computer-based classification system has been designed capable of distinguishing patients with depression from normal controls by event-related potential…”
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    Assessing hip osteoarthritis severity utilizing a probabilistic neural network based classification scheme by Boniatis, I, Costaridou, L, Cavouras, D, Kalatzis, I, Panagiotopoulos, E, Panayiotakis, G

    Published in Medical engineering & physics (01-03-2007)
    “…Abstract A computer-based classification system is proposed for the characterization of hips from pelvic radiographs as normal or osteoarthritic and for the…”
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    Quantitative assessment of hip osteoarthritis based on image texture analysis by BONIATIS, I. S, COSTARIDOU, L. I, CAVOURAS, D. A, PANAGIOTOPOULOS, E. C, PANAYIOTAKIS, G. S

    Published in British journal of radiology (01-03-2006)
    “…A non-invasive method was developed to investigate the potential capacity of digital image texture analysis in evaluating the severity of hip osteoarthritis…”
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    Acoustic patterns of infant vocalizations expressing emotions and communicative functions by Papaeliou, C, Minadakis, G, Cavouras, D

    “…The present study aimed at identifying the acoustic pattern of vocalizations, produced by 7- to 11-month-old infants, that were interpreted by their mothers as…”
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  12. 12

    Osteoarthritis severity of the hip by computer-aided grading of radiographic images by Boniatis, I, Costaridou, L, Cavouras, D, Kalatzis, I, Panagiotopoulos, E, Panayiotakis, G

    “…A computer-aided classification system was developed for the assessment of the severity of hip osteoarthritis (OA). Sixty-four radiographic images of normal…”
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    Experimental and theoretical assessment of the performance of Gd2O2S:Tb and La2O2S:Tb phosphors and Gd2O2S:Tb-La2O2S:Tb mixtures for X-ray imaging by Kandarakis, I, Cavouras, D

    Published in European radiology (01-01-2001)
    “…The purpose of this work was to investigate and compare the imaging performance of Gd2O2S:Tb and La2O2S:Tb phosphors as well as of Gd2O2S:Tb and La2O2S:Tb…”
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    Light emission efficiency and imaging properties of YAP:Ce granular phosphor screens by KALIVAS, N, VALAIS, I, NIKOLOPOULOS, D, KONSTANTINIDIS, A, GAITANIS, A, CAVOURAS, D, NOMICOS, C. D, PANAYIOTAKIS, G, KANDARAKIS, I

    “…Phosphor materials are used in medical imaging combined with radiographic film or other photodetectors. Cerium (Ce3+) -doped scintillators are of particular…”
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    Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images by Tsantis, S, Dimitropoulos, N, Ioannidou, M, Cavouras, D, Nikiforidis, G

    Published in Computerized medical imaging and graphics (01-04-2007)
    “…Abstract A wavelet-based method for speckle suppression in ultrasound images of the thyroid gland is introduced. The classification of image pixels as speckle…”
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    A morphological index for assessing hip osteoarthritis severity from radiographic images by BONIATIS, I, COSTARIDOU, L, CAVOURAS, D, KALATZIS, I, PANAGIOTOPOULOS, E, PANAYIOTAKIS, G

    Published in British journal of radiology (01-02-2008)
    “…A new method is proposed for assessing the severity of hip osteoarthritis (OA) based on radiographic hip joint space (HJS) morphology. 64 hips of patients with…”
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    Modeling the effect of light generation and light attenuation properties on the performance of phosphors used in medical imaging radiation detectors by Kandarakis, I., Cavouras, D.

    “…A theoretical description of the effect of light generation and light attenuation properties on the imaging performance of phosphor materials used in radiation…”
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    Development of the cubic least squares mapping linear-kernel support vector machine classifier for improving the characterization of breast lesions on ultrasound by Piliouras, N., Kalatzis, I., Dimitropoulos, N., Cavouras, D.

    Published in Computerized medical imaging and graphics (01-07-2004)
    “…An efficient classification algorithm is proposed for characterizing breast lesions. The algorithm is based on the cubic least squares mapping and the…”
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