Publications

(selected)

  • P. Gatoula, G. Dimas, D.K. Iakovidis, “Interpretable Similarity of Synthetic Image Utility,” IEEE Transactions on Medical Imaging, 2026 (to appear)
  • P. Gatoula, D.K. Iakovidis, D.E. Diamantis, V. Thambawita, T. de Lange, A. Koulaouzidis, “Synthetic data generation: challenges and perspectives for gastrointestinal medicine,” Nature Reviews in Gastroenterology and Hepatology, 2026 (to appear)
  • M. Vasilakakis, G. Triantafyllou, and D.K. Iakovidis, “Intuitionistic Fuzzy Cognitive Maps for Disease Transmission Risk Assessment in Ventilated Indoor Spaces,” IEEE Access, vol. 13, pp. 201789-201801 2025, doi: 10.1109/ACCESS.2025.3636385
  • G. Triantafyllou, G. Sovatzidi, G. Dimas, P.G. Kalozoumis, and D.K. Iakovidis, “A Smart Fuzzy Risk Assessment System for Epidemic Prevention on Cruise Ships,” IEEE Access, vol. 13, pp. 148699 – 148716, 2025, doi: 10.1109/ACCESS.2025.3600859
  • P. Gatoula, D.E. Diamantis, A. Koulaouzidis, C. Carretero, S. Chetcuti-Zammit, P. Cortegoso Valdivia, B. González-Suárez, A. Mussetto, J. Plevris, A. Robertson, B. Rosa, E. Toth, D.K. Iakovidis, “Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy,” Scientific Reports, Nature, vol. 15, no. 35068, 2025, doi: 10.1038/s41598-025-14359-4
  • D.K. Iakovidis, P. Vartholomeos, A. Le Gall, M. Cianchetti, O. Ozioko, R. Dahiya, E. Mazomenos, F. Vasconcelos, D. Stoyanov, J. Philpott, T. Erdem, G. Cummins, G. Ciuti, C.A. Seneci, C. Bergeles, M. Kim, S. Pané, B.J. Nelson, I. Poulakakis, O. Simatos, P. Polygerinos, P. Toupas, D. Giakoumis, D. Tzovaras, Z. Su, W. Sheng, A.S. Panayides, E.G. Christoforou, C.S. Pattichis, “Medical & Healthcare Robotics: A Roadmap for Enhanced Precision, Safety, and Efficacy,” Measurement Science and Technology, 2025, doi: 10.1088/1361-6501/ae09bf 
  • G. Triantafyllou, P. Kalozoumis, G. Dimas, and D.K. Iakovidis, “DeepFEA: Deep Learning for Prediction of Transient Finite Element Analysis Solutions,” Expert Systems with Applications, 269, 126343, 2025, doi: 10.1016/j.eswa.2024.126343
  • J-R. Lee, H. Yoo, C.C. Ciang, Y.-J. Kim, D. Kim, T. W. Teo, Z. Mahdavipour, A. Abdullah, B.E. Khoo, M.Z. Abdullah, D.K. Iakovidis, P. Vartholomeos, A. Yacoot, T. Cai, M. Kim, K.C. Kim, J. Ye, X. Liang, L. Cao, X. Wang, J. Huang, W. Cai, Y. Wu, M. J da Silva, C. Tan, S. Bhattacharya, P. Vlachos, C. Cierpka, M. Rossi, “Roadmap on Industrial Imaging Techniques,” Measurement Science and Technology, 36 (1), 013001, 2024, doi: 10.1088/1361-6501/ad774b
  • D.-C. Koutsiou, M.A. Savelonas, and D.K. Iakovidis, “TransLevelSet: Integrating Vision Transformers with Level-Sets for Medical Image Segmentation,” Neurocomputing, vol. 599, no. 128077, 2024, doi: 10.1016/j.neucom.2024.128077
  • D.E. Diamantis, P. Gatoula, A. Koulaouzidis, and D.K. Iakovidis, “This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation," IEEE Access, vol. 12, pp. 25668-25683, 2024, doi: 10.1109/ACCESS.2024.3366801, 2023
  • G. Dimas, E. Cholopoulou, and D.K. Iakovidis, “E Pluribus Unum Interpretable Convolutional Neural Networks," Scientific Reports, Nature, vol. 13, no. 11421, 2023, doi: 10.1038/s41598-023-38459-1
  • G. Dimas, and D.K. Iakovidis, “Virtual Grid Mapping for Visual Size Measurements," IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023, doi: 10.1109/TIM.2023.3269109
  • M.D. Vasilakakis, and D.K. Iakovidis, “Fuzzy Similarity Phrases for Interpretable Data Classification," Information Sciences, vol. 624, pp. 881-907, 2023
  • G. Sovatzidi, and D.K. Iakovidis, “Stepladder Determinative Brain Storm Optimization,” Applied Intelligence, vol. 52, pp. 16799–16817, 2022, doi: 10.1007/s10489-022-03171-6
  • D.K. Iakovidis, M. Ooi, Y.C. Kuang, S. Demidenko, A. Shestakov, V. Sinitsin, M. Henry, A. Sciacchitano, A. Discetti, S. Donati, M. Norgia, A. Menychtas, .I Maglogiannis, S.C. Wriessnegger, L.A. Chacon, G. Dimas, D. Filos, A.H. Aletras, J. Töger, F. Dong, S. Ren, A. Uhl, J. Paziewski, J. Geng, F. Fioranelli, R.M. Narayanan, C. Fernandez, C. Stiller, K. Malamousi, S. Kamnis, K. Delibasis, D. Wang, and J. Zhang, R.X. Gao, “Roadmap on Signal Processing for Next Generation Measurement Systems,” Measurement Science and Technology, vol. 33, no.1, 2021, doi: 10.1088/1361-6501/ac2dbd
  • D. Diamantis, and D.K. Iakovidis, “Fuzzy Pooling,” IEEE Transactions on Fuzzy Systems, vol. 29, no. 11, 3481 – 3488, 2021, doi: 10.1109/TFUZZ.2020.3024023
  • D.K. Iakovidis, G. Dimas, A. Karargyris, F. Bianchi, G. Ciuti, and A. Koulaouzidis, “Deep Endoscopic Visual Measurements,” IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 6, pp. 2211-2219, 2018
  • D.K. Iakovidis, S.V. Georgakopoulos, M. Vasilakakis, A. Koulaouzidis, and V. Plagianakos, “Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification,” IEEE Transactions on Medical Imaging, vol. 37, no. 10, pp. 2196 - 2210, 2018
  • D.K. Iakovidis, and A. Koulaouzidis, “Software for Enhanced Video Capsule Endoscopy: Challenges for Essential Progress,” Nature Reviews Gastroenterology & Hepatology, vol. 12, no 3, pp. 172-186, 2015, doi:10.1038/nrgastro.2015.13. 
  • E. Papageorgiou, and D.K. Iakovidis, “Intuitionistic Fuzzy Cognitive Maps,” IEEE Transactions on Fuzzy Systems, vol. 21, no.12, pp. 342-254, 2013
  • D.K. Iakovidis, S. Tsevas, M.A. Savelonas, and G. Papamichalis, “Image Analysis Framework for Infection Monitoring,” IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, pp.1135-1144, 2012 
  • D.K. Iakovidis, and E. Papageorgiou, “Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making,” IEEE Transactions on Information Technology in Biomedicine, vol. 15, no. 1, pp. 100-107, 2011 
  • D.K. Iakovidis, M.A. Savelonas, and G. Papamichalis, “Robust Model-based Detection of the Lung Field Boundaries in Portable Chest Radiographs Supported by Selective Thresholding,” Measurement Science and Technology, vol. 20, pp. 104019, IOP Publishing, 2009
  • M.A. Savelonas, D.K. Iakovidis, I. Legakis, and D. Maroulis, “Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 519-527, 2009
  • D.K. Iakovidis, N. Pelekis, H. Karanikas, E. Kotsifakos, I. Kopanakis, and Y. Theodoridis, “A Pattern Similarity Scheme for Medical Image Retrieval,” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 442-450, 2009
  • D.E. Maroulis, M. Savelonas, D.K. Iakovidis, S.A. Karkanis, and N. Dimitropoulos, “Variable Background Active Contour Model for Computer-Aided Delineation of Nodules in Thyroid Ultrasound Images,” IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 5, pp. 537-543, 2007
  • S.A. Karkanis, D.K. Iakovidis, D.E. Maroulis, D.A. Karras, and M. Tzivras, “Computer Aided Tumor Detection in Endoscopic Video using Color Wavelet Features,” IEEE Transactions on Information Technology in Biomedicine, vol. 7, pp. 141-152, 2003
  • Iakovidis, D. K., Pelekis, N., Kotsifakos, E. E., Kopanakis, I., Karanikas, H., & Theodoridis, Y. (2008). A pattern similarity scheme for medical image retrieval. IEEE Transactions on Information Technology in Biomedicine, 13(4), 442-450.