Recent Publications

Show all (6)

• T. Kotsiopoulos, G. Papakostas, T. Vafeiadis, V. Dimitriadis, A. Nizamis, A. Bolzoni, D. Bellinati, D. Ioannidis, K. Votis, D. Tzovaras, P. Sarigiannidis, "Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms.", Expert Systems with Applications. 2024 Dec 1;255:124839.
• P. Natsiavas, G. Nikolaidis, J. Pliatsika, A. Chytas, G. Giannios, H. Karanikas, M. Grammatikopoulou, M. Zachariadou, V. Dimitriadis, S. Nikolopoulos, I. Kompatsiaris, "The PrescIT platform: An interoperable Clinical Decision Support System for ePrescription to Prevent Adverse Drug Reactions and Drug-Drug Interactions.", Drug Saf (2024), July 2024. https://doi.org/10.1007/s40264-024-01455-z
• A. Gounaridou, E. Pantraki, V. Dimitriadis, A. Tsakiris, D. Ioannidis, D. Tzovaras, "Semi-Automated Visual Quality Control Inspection During Construction or Renovation of Railways Using Deep Learning Techniques and Augmented Reality Visualization.", 23rd International Conference on Construction Applications of Virtual Reality (CONVR2023), 13-16 November 2023, Florence, Italy, 2023 (accepted).
• A. Nizamis, G. Schlake, G. Siachamis, V. Dimitriadis, C. Patsonakis, C. Beecks, D. Ioannidis, K. Votis, D. Tzovaras, "Designing a Marketplace to Exchange AI Models for Industry 5.0.", In Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI 2023 Sep 28 (pp. 27-41). Cham: Springer Nature Switzerland.
• V. Dimitriadis, A. Chytas, M. Grammatikopoulou, G. Nikolaidis, J. Pliatsika, M. Zachariadou, S. Nikolopoulos, P. Natsiavas, "Use of Real-World Data to Support Adverse Drug Reactions Prevention During ePrescription.", Stud Health Technol Inform. 2023 Jun 29;305:226-229. PMID: 37387003. doi: 10.3233/SHTI230469