Publications – Announcements

Publications and presentations are also available from the MSc Zenodo Community: https://zenodo.org/communities/biomedinf


  • Chaikalis N, Christodoulou T, Kalitsi G, Tzatzimaki A, Kaldoudi E, Drosatos G. Machine Learning-Based Prediction of Hospital Length-of-Stay and Patient Survival, in Proceedings of IUPESM World Congress on Medical Physics and Biomedical Engineering XXVII: September 29 – October 4, 2025, Adelaide, Australia, Springer Nature, 2026 [in press]
    [research conducted by the MSc Students N. Chaikalis, T. Christodoulou, G. kalitsi, and A. Tzatzimaki Preprint]
  • Didaskalou S, Portokallidis N, Tzatzimaki K, Liapi, M., Moustakidis N, Moustakidis T, Balciuniene N, Macas A, Kijauskas R, Aladaitis A, Sotiriadou A, Sarafis F, Kynigopoulos G, Potoupnis M, Grandone E, Mastrangelo G, Maresca S, Gautier M, Chaiba D, Boussaha H, Goulvent S, Stylianou C, Oglou EN, Chouchos K, Deftereos S, Papatheodorou K, Drougka I, Anagnostopoulou P, Yu HQ, Kaldoudi E, and the ThrombUS+ Consortium, A Dataset for Benchmarking Machine Learning Models for Autonomous Deep Vein Thrombosis Detection Based on Compression Ultrasound Videos. In Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC 2026, vol 4, pp. 853-862, ISBN: 978-989-758-802-0; ISSN: 2184-4305
    [research conducted with the contribution of MSc Students A. Tzatzimaki and M. Liapi – Reprint – Presentation]
  • Tzatzimaki A, Portokallidis N, Drosatos G, Kaldoudi E, Didaskalou S. A Comprehensive Infrastructure and Methodology for Multi-Modal Data Acquisition to Empower AI-Based Rehabilitation, In Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC 2026, vol. 3, pp. 269-278, 2026. ISBN: 978-989-758-802-0; ISSN: 2184-4305. (Best Student Paper Award Candidate)
    [research conducted in part within the context of the MSc Thesis of A. Tzatzimaki – Reprint – Presentation]
  • Didaskalou M, Ioannakis G, Kaldoudi E, Drosatos G, Deep Learning Approaches for Thrombosis Detection and Risk Assessment via Ultrasound Imaging: A Scoping Review, Ultrasound in Medicine and Biology, vol 52, 26-40, 2026. https://doi.org/10.1016/j.ultrasmedbio.2025.09.019
    [research conducted in part within the context of the MSc Thesis of M. Didaskalou – Preprint]
  • Pechlivanis D, Didaskalou S, Kaldoudi E, Drosatos G, Preparing Ultrasound Imaging Data for Artificial Intelligence Tasks: Anonymisation, Cropping, and Tagging. In: Kim J, Conceicao R, Yousef M, Bhavsar A, Pelayo S, Fred A, Gamboa H, editors. BIOSTEC 2025: 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025 Feb 20-22; Porto, Portugal. https://doi.org/10.5220/0013379400003911. Setubal: SCITEPRESS; 2025. vol 2; p. 951-58.
    [research conducted in part within the context of the MSc Thesis of D. Pechlivanis – Preprint – Presentation]

  • Τζατζιμάκη Α, Πορτοκαλλίδης Ν, Καλδούδη Ε, Διδασκάλου Σ. Ψηφιακή Υποδομή για την Υποστήριξη Εξατομικευμένη Φυσικής Αποκατάστασης, 10ο Συνέδριο Εκπαίδευσης και Ερευνας στην Ιατρική, Σχολή Ιατρικής, Δημοκρίτειο Πανεπιστήμιο Θράκης, Αλεξανδρούπολη, 27-29 Μαρτίου 2026
    [research conducted in part within the context of the MSc Thesis of A. Tzatzimaki – Abstract – Presentation]

  • Didaskalou S, Portokallidis N, Tzatzimaki A, Liapi M, Balciuniene N, Macas A, Kijauskas R, Aladaitis A, Sotiriadou A, Sarafis F, Kynigopoulos G, Potoupnis M, Grandone E, Mastrangelo G, Maresca S, Gautier M, Chaiba D, Boussaha H, Goulvent S, Stylianou C, Oglou EM, Chouchos K, Deftereos S, Papatheodorou K, Drougka I, Anagnostopoulou P, Yu HQ, Kaldoudi E. Ένα Σύνολο Δεδομένων με Βίντεο Υπερήχων Συμπίεσης για την Ανάπτυξη Μοντέλων Μηχανικής Μάθησης για την Ανίχνευση της εν τω Βάθει Φλεβικής Θρόμβωσης, 10ο Συνέδριο Εκπαίδευσης και Ερευνας στην Ιατρική, Σχολή Ιατρικής, Δημοκρίτειο Πανεπιστήμιο Θράκης, Αλεξανδρούπολη, 27-29 Μαρτίου 2026
    [research conducted in part within the context of the MSc Thesis of A. Tzatzimaki and M. Liapi – Abstract – Presentation]

  • Tzatzimaki A. Development of an IMU-Based Physical Activity Recording Studio, presented at the 4th ThrombUS+ Project Consortium Meeting, Tampere, Finland, 12 June 2025.  https://doi.org/10.5281/zenodo.17423382
    [research conducted in part within the context of the MSc Thesis of Ms. A. Tzatzimaki – Presentation]