Search Results - "ASVESTAS, P."

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  1. 1

    Convolutional neural network propagation on electroencephalographic scalograms for detection of schizophrenia by Korda, A.I., Ventouras, E., Asvestas, P., Toumaian, Maida, Matsopoulos, G.K., Smyrnis, N.

    Published in Clinical neurophysiology (01-07-2022)
    “…•Scalograms of EEG signals were used as potential biomarkers of schizophrenia.•Identification of biomarkers in schizophrenia heritability.•Low-frequency…”
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    Journal Article
  2. 2

    Comparison of fractal dimension estimation algorithms for epileptic seizure onset detection by Polychronaki, G E, Ktonas, P Y, Gatzonis, S, Siatouni, A, Asvestas, P A, Tsekou, H, Sakas, D, Nikita, K S

    Published in Journal of neural engineering (01-08-2010)
    “…Fractal dimension (FD) is a natural measure of the irregularity of a curve. In this study the performances of three waveform FD estimation algorithms (i.e…”
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    Journal Article
  3. 3

    Contrast enhancement of images using Partitioned Iterated Function Systems by Economopoulos, T.L., Asvestas, P.A., Matsopoulos, G.K.

    Published in Image and vision computing (2010)
    “…A new algorithm for the contrast enhancement of images, based on the theory of Partitioned Iterated Function System (PIFS), is presented. A PIFS consists of…”
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  4. 4

    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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  5. 5

    Volumetric difference evaluation of registered three-dimensional pre-operative and post-operative CT dental data by Economopoulos, T L, Asvestas, P A, Matsopoulos, G K, Molnár, B, Windisch, P

    Published in Dento-maxillo-facial radiology (01-05-2012)
    “…The purpose of this study is to propose a complete methodology for automatically registering three-dimensional (3D) pre-operative and post-operative CT scan…”
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    Journal Article
  6. 6

    Automatic Correspondence on Medical Images: A Comparative Study of Four Methods for Allocating Corresponding Points by Economopoulos, T. L., Asvestas, P. A., Matsopoulos, G. K.

    Published in Journal of digital imaging (01-08-2010)
    “…The accurate estimation of point correspondences is often required in a wide variety of medical image-processing applications. Numerous point correspondence…”
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  7. 7

    A contrast correction method for dental images based on histogram registration by Economopoulos, T L, Asvestas, P A, Matsopoulos, G K, Gröndahl, K, Gröndahl, H-G

    Published in Dento-maxillo-facial radiology (01-07-2010)
    “…Contrast correction is often required in digital subtraction radiography when comparing medical data acquired over different time periods owing to…”
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  8. 8

    A digital subtraction radiography scheme based on automatic multiresolution registration by Zacharaki, E I, Matsopoulos, G K, Asvestas, P A, Nikita, K S, Gröndahl, K, Gröndahl, H-G

    Published in Dento-maxillo-facial radiology (01-11-2004)
    “…To establish a digital subtraction radiography scheme for aligning clinical in vivo radiographs based on the implementations of an automatic geometric…”
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  9. 9

    Automatic correspondence using the enhanced hexagonal centre-based inner search algorithm for point-based dental image registration by Economopoulos, T, Matsopoulos, G K, Asvestas, P A, Gröndahl, K, Gröndahl, H-G

    Published in Dento-maxillo-facial radiology (01-05-2008)
    “…In this paper, the enhanced hexagonal centre-based inner search (EHCBIS) algorithm, for automatic point correspondence, is proposed for dental image…”
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    Journal Article
  10. 10

    Multimodal registration of retinal images using self organizing maps by Matsopoulos, G.K., Asvestas, P.A., Mouravliansky, N.A., Delibasis, K.K.

    Published in IEEE transactions on medical imaging (01-12-2004)
    “…In this paper, an automatic method for registering multimodal retinal images is presented. The method consists of three steps: the vessel centerline detection…”
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  11. 11

    Combining a morphological interpolation approach with a surface reconstruction method for the 3-D representation of tomographic data by Mouravliansky, N., Matsopoulos, G.K., Delibasis, K., Asvestas, P., Nikita, K.S.

    “…In this paper, a new interpolation scheme, based on Mathematical Morphology and a modified Marching Cubes (MC) Algorithm to reconstruct 3-D anatomical…”
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  12. 12

    Estimation of fractal dimension of images using a fixed mass approach by Asvestas, P., Matsopoulos, G.K., Nikita, K.S.

    Published in Pattern recognition letters (01-03-1999)
    “…A method from the field of chaotic dynamics is applied for the estimation of fractal dimension of images. The method is compared with other well-known…”
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  13. 13
  14. 14

    Thoracic non-rigid registration combining self-organizing maps and radial basis functions by Matsopoulos, George K., Mouravliansky, Nikolaos A., Asvestas, Pantelis A., Delibasis, Konstantinos K., Kouloulias, Vassilis

    Published in Medical image analysis (01-06-2005)
    “…An automatic three-dimensional non-rigid registration scheme is proposed in this paper and applied to thoracic computed tomography (CT) data of patients with…”
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    Journal Article
  15. 15

    A Power Differentiation Method of Fractal Dimension Estimation for 2-D Signals by Asvestas, P., Matsopoulos, G.K., Nikita, K.S.

    “…Fractal dimension has been used for texture analysis as it is highly correlated with the human perception of surface roughness. Several methods have been…”
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    Journal Article
  16. 16

    Preliminary Study on the Association of Vessel Diameter Variation and Glaucoma by Vlachokosta, A.A., Asvestas, P.A., Matsopoulos, G.K., Uzunoglu, N., Zeyen, T.G.

    “…In this paper, the relation between retinal vessel diameters and glaucoma by means of advanced image processing techniques is examined. Eighteen (18) patients…”
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    Conference Proceeding Journal Article
  17. 17

    Application of the Kohonen Network for Automatic Point Correspondence in Retinal Images by Markaki, V.E., Asvestas, P.A., Matsopoulos, G.K., Uzunoglu, N.K.

    “…In this paper, an algorithm for automatic point correspondence is proposed towards retinal image registration. Given a pair of corresponding retinal images and…”
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    Conference Proceeding Journal Article
  18. 18

    Classification of Event-Related Potentials associated with response errors in actors by Asvestas, P.A., Ventouras, E., Karanasiou, I., Matsopoulos, G.K.

    “…Event-Related Potentials (ERPs) provide non-invasive measurements of the electrical activity on the scalp related to the processing of stimuli and preparation…”
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    Conference Proceeding Journal Article
  19. 19

    Registration of Retinal Angiograms Using Self Organizing Maps by Asvestas, P.A., Matsopoulos, G.K., Delibasis, K.K., Mouravliansky, N.A.

    “…In this paper, an automatic method for registering multimodal retinal images is presented. The method consists of three steps: the vessel centerline detection…”
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    Conference Proceeding Journal Article
  20. 20

    Automatic Correspondence using the Enhanced Hexagonal Center-based Inner Search Algorithm for Point-based Dental Image Registration by Economopoulos, T., Asvestas, P.A., Matsopoulos, G.K., Grondahl, K., Grondahl, H.-G.

    “…In this paper a modified version of the center-based inner search algorithm, the enhanced hexagonal center-based inner search algorithm, for automatic point…”
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    Conference Proceeding Journal Article