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Fingerprint Dive into the research topics where Eleni Fotiadou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

  • 16 Citations
  • 2 Conference contribution
  • 2 Article
  • 1 Pd Eng Thesis

End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising

Fotiadou, E., Konopczyński, T., Hesser, J. & Vullings, R., 1 Jan 2020, In : Physiological Measurement. 41, 1, 1 p., 15005.

Research output: Contribution to journalArticleAcademicpeer-review

  • 1 Downloads (Pure)

    Deep convolutional encoder-decoder framework for fetal ECG signal denoising

    Fotiadou, E., Konopczyński, T., Hesser, J. & Vullings, R., 2019, 2019 Computing in Cardiology Conference. 9005722

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

  • 2 Citations (Scopus)
    2 Downloads (Pure)

    Enhancement of low-quality fetal electrocardiogram based on time-sequenced adaptive filtering

    Fotiadou, E., van Laar, J. O. E. H., Oei, S. G. & Vullings, R., 1 Dec 2018, In : Medical and Biological Engineering and Computing. 56, 12, p. 2313–2323 11 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
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  • 5 Citations (Scopus)
    60 Downloads (Pure)

    Video-based facial discomfort analysis for infants

    Fotiadou, E., Zinger, S., Tjon A Ten, W. E., Bambang Oetomo, S. & de With, P. H. N., 17 Mar 2014, Visual Information Processing and Communication V. Bellingham: SPIE, 15 p. 90290F. (Proceedings of SPIE; vol. 9029).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 9 Citations (Scopus)

    Video-based facial discomfort analysis for infants

    Fotiadou, E. & Technische Universiteit Eindhoven (TUE). Stan Ackermans Instituut. Information and Communication Technology (ICT), 2013, Eindhoven: Technische Universiteit Eindhoven. 60 p.

    Research output: ThesisPd Eng Thesis