Selected Publications

Brain Signal Analysis

  • Koutras A., Kostopoulos G. K., “EEG-based Person Identification Using Rhythmic Brain Activity During Sleep”. Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., Maglogiannis, I. (Eds.) ICANN 2018. Lecture Notes in Computer Science, vol 11139-11141, pp. 682-692, Springer, (2018)
  • Zouridis I, Koupparis A, Stavrinou M, Kokkinos V, Sakellariou D, Koutras A. and Kostopoulos G, “A High Resolution EEG Human Sleep Dataset”, 27th Meeting of the Hellenic Society for Neuroscience (HSfN 2017), Athens, Greece, 2017.
  • Koutras A., Zouridis I., Giannakopoulou A. and Kostopoulos G., “Comparison of sleep spindles’ characteristics in descending compared to ascending slope of the nrem/rem sleep cycle”, 1st International Conference on Sleep Spindling, Budapest, Hungary, 2016.
  • I. Zouridis, A. Koutras, G. Kostopoulos, “Are sleep spindles and K-complexes related to cardiac activity?”, 6th Panhellenic Conference on Sleep Research, Athens, Greece, 2016
  • Α. Koutras, G.K. Kostopoulos and A.I. Ioannides, “Exploring the variability of Single Trials in Somatosensory Evoked Responses Using Constrained Source Extraction and Random Matrix Theory”, IEEE Trans. on Biomedical Signal Processing, Vol 55, no 3, pp 957-969, 2008.
  • A. Koutras, G.K. Kostopoulos, A.A. Ioannides, “Single trial analysis of somatosensory evoked responses using constrain ICA”, 20th Annual Meeting of the Hellenic Society for Neuroscience, Heraklion, Crete, Greece, 28 September–1 October 2006.
  • K. Tsatsou, A. Koutras, G.K. Kostopoulos, “Analysing the Dynamic Relations of Sympathetic Skin Response and Somatosensory ERP Activity”, 5th European Symposium on Biomedical Engineering (ESBME), Patras, July 2006.

Medical Imaging / Digital Mammography

  • Apostolopoulos G., Koutras A., Anyfantis D., Christoyianni I., Dermatas E., “Improving the diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors”, EANN 2021, DBLP Computer Science, to be published
  • Apostolopoulos G., Koutras A., Anyfantis D., Christoyianni I., Dermatas E., “Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms”, 20th IEEE International Conference on BioInformatics And BioEngineering Conference, October 26-28, 2020 USA
  • G. Apostolopoulos, A. Koutras, I. Christoyianni, E. Dermatas, “A New Method for Breast Cancer Identification Using Multi-modal Features in Quaternionic Form”, 25th European Signal Processing Conference (EUSIPCO), 28/8-2/9, 2017, Kos Island, Greece, pp. 66-70, 2017
  • Apostolopoulos G., Koutras A., Christoyianni I., Dermatas E. “Computer Aided Diagnosis of Mammographic Tissue Using Shapelets in Quaternionic Representation”, Kyriacou E., Christofides S., Pattichis C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57, pp. 222-227, Springer, Cham, (2016)
  • Apostolopoulos G., Koutras A., Christoyianni I., Dermatas E., “Computer Aided Classification of Mammographic Tissue Using Shapelets and Support Vector Machines”, Likas A., Blekas K., Kalles D. (eds) Artificial Intelligence: Methods and Applications, SETN 2014, Lecture Notes in Computer Science, vol 8445, pp. 510-520, Springer, Cham, (2014)
  • Koutras A., Christoyianni I., Georgoulas G., Dermatas E. (2006) “Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines”, Kollias S., Stafylopatis A., Duch W., Oja E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006, Lecture Notes in Computer Science, vol 4132, pp 568-577, Springer, Berlin, Heidelberg, (2006)
  • I. Christoyianni, A. Koutras, E. Dermatas: “Computer Classification of Mammographic Tissue using Independent Component Analysis”, International Conference on Digital Signal Processing, Santorini, Greece, pp. 163-166, July 2002.