Search Results - "Asvestas, P. A."

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  1. 1

    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
  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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    Journal Article
  4. 4

    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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    Journal Article
  5. 5

    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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    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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    Journal Article
  7. 7

    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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  8. 8

    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
  9. 9

    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
  10. 10

    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
  11. 11

    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
  12. 12

    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
  13. 13

    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
  14. 14

    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
  15. 15

    Application of Kohonen network for automatic point correspondence in 2D medical images by Markaki, Vasiliki E, Asvestas, Pantelis A, Matsopoulos, George K

    Published in Computers in biology and medicine (01-07-2009)
    “…Abstract In this paper, a generalized application of Kohonen Network for automatic point correspondence of unimodal medical images is presented. Given a pair…”
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  16. 16

    Computer-Aided Diagnosis of Thyroid Malignancy Using an Artificial Immune System Classification Algorithm by Delibasis, K.K., Asvestas, P.A., Matsopoulos, G.K., Zoulias, E., Tseleni-Balafouta, S.

    “…The diagnosis of thyroid malignancy by fine needle aspiration (FNA) examination has been proven to show wide variations of sensitivity and specificity. This…”
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  17. 17

    Image Registration Based on Lifting Process: An Application to Digital Subtraction Radiography by Matsopoulos, G.K., Mouravliansky, N.A., Asvestas, P.A., Delibasis, K.K., Grondahl, K., Grondahl, H.-G.

    “…In this paper, a digital subtraction radiology scheme is presented based on a new method for the automatic registration of dental radiographs acquired with or…”
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    Journal Article
  18. 18

    Regional Partitioned Iterated Function Systems for digital image enhancement by Economopoulos, T. L., Asvestas, P. A., Matsopoulos, G. K.

    “…A new technique is presented for enhancing the contrast of digital images. The proposed method is based on the regional application of the Partitioned Iterated…”
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    Conference Proceeding
  19. 19

    CT-MRI automatic surface-based registration schemes combining global and local optimization techniques by Matsopoulos, George K, Delibasis, Konstantinos K, Mouravliansky, Nicolaos A, Asvestas, Pantelis A, Nikita, Konstantina S, Kouloulias, Vassilios E, Uzunoglu, Nikolaos K

    Published in Technology and health care (2003)
    “…Medical image registration is commonly required in order to combine the complementary information provided by different medical imaging modalities. In this…”
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  20. 20

    Registration of electronic portal images for patient set-up verification by Matsopoulos, George K, Asvestas, Pantelis A, Delibasis, Konstantinos K, Kouloulias, Vassilios, Uzunoglu, Nikolaos, Karaiskos, Pantelis, Sandilos, Panagiotis

    Published in Physics in medicine & biology (21-07-2004)
    “…Images acquired from an electronic portal imaging device are aligned with digitally reconstructed radiographs (DRRs) or other portal images to verify patient…”
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    Journal Article