Recent publications
Article
Zhao, T, L. Rose, HE, Grist, JT, MacPherson, L, Li, H, Arvanitis, TN, Apps, JR & Peet, AC 2025, 'Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis of 1H MR Imaging and Spectroscopy', NMR in biomedicine, vol. 38, no. 9, e70103. https://doi.org/10.1002/nbm.70103
Noor, N, Bilal, M, Abbasi, SF, Pournik, O & Arvanitis, TN 2025, 'A novel transformer-based approach for cardiovascular disease detection', Frontiers in digital health, vol. 7, 1548448. https://doi.org/10.3389/fdgth.2025.1548448
Waseem, HM, Islam, SU, Harrison, S, Epiphaniou, G, Matragkas, N, Arvanitis, TN & Maple, C 2025, 'Data-driven FMEA approach for hazard identification and risk evaluation in digital health', Scientific Reports, vol. 15, no. 1, 26856. https://doi.org/10.1038/s41598-025-11929-4
Koki, C, Shields, R, Sweetman, R, Boyle, J, Khan, O, Lim Choi Keung, SN, Arvanitis, TN, Devall, AJ, Burroughs, NJ & Quenby, S 2025, 'Fertility, time to pregnancy, and pregnancy outcomes among women with recurrent miscarriages in the UK: a prospective observational longitudinal study', The Lancet Regional Health - Europe, vol. 55, 101343. https://doi.org/10.1016/j.lanepe.2025.101343
Brown, TP, Andronis, L, El-Banna, A, Leung, BKH, Arvanitis, T, Deakin, C, Siriwardena, AN, Long, J, Clegg, G, Brooks, S, Chan, TCY, Irving, S, Walker, L, Mortimer, C, Igbodo, S & Perkins, GD 2025, 'Optimisation of the deployment of automated external defibrillators in public places in England', Health and Social Care Delivery Research, vol. 13, no. 5, pp. 1-179. https://doi.org/10.3310/HTBT7685
Conference contribution
Wang, C, Yi, Q, Aflakian, A, Ye, J, Arvanitis, T, Dearn, KD & Hajiyavand, A 2025, A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images. in E Andrikopoulou, P Gallos, TN Arvanitis, R Austin, A Benis, R Cornet, P Chatzistergos, A Dejaco, L Dusseljee-Peute, A Mohasseb, P Natsiavas, H Nakkas & P Scott (eds), Intelligent Health Systems - From Technology to Data and Knowledge: Proceedings of MIE 2025. Studies in Health Technology and Informatics, vol. 327, IOS Press, pp. 1290-1294, 35th Medical Informatics Europe Conference, MIE 2025, Glasgow, United Kingdom, 19/05/25. https://doi.org/10.3233/SHTI250606
Pournik, O, Mukherjee, T, Abbasi, SF, Ding, X, Bai, L, de la Torre Pardos, J, Moro, A, Gonzalez, N, Verdoy Berastegi, D, Kaye, R, Laleci Erturkmen, GB, Yuksel, M, Sarigul, B, Ghalichi, L & Arvanitis, TN 2025, Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project. in J Mantas, A Hasman, P Gallos, E Zoulias & K Karitis (eds), Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. Studies in health technology and informatics, vol. 328, IOS Press, pp. 469-473, International Conference on Informatics, Management, and Technology in Healthcare 2025, Athens, Greece, 4/07/25. https://doi.org/10.3233/SHTI250763
Abbasi, SF, Ahmad, R, Mukherjee, T, Ding, X, Bai, L, Pournik, O & Arvanitis, TN 2025, A Novel and Secure 3D Colour Medical Image Encryption Technique Using 3D Hyperchaotic Map, S-box and Discrete Wavelet Transform. in J Mantas, A Hasman, P Gallos, E Zoulias & K Karitis (eds), Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. Studies in Health Technology and Informatics, vol. 328, IOS Press, pp. 268-272, 23rd Annual International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2025, Athens, Greece, 4/07/25. https://doi.org/10.3233/SHTI250717
Tao, T, Wang, Z, Zhang, H, Arvanitis, TN & Zhang, L 2025, DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting. in 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)., 10980990, International Symposium on Biomedical Imaging, IEEE, International symposium on Biological Imaging, Houston, Texas, United States, 14/04/25. https://doi.org/10.1109/ISBI60581.2025.10980990
Watts, E, Pournik, O, Allington, R, Ding, X, Boelaert, K, Sharma, N, Ghalichi, L & Arvanitis, TN 2025, Enhancing Diagnostic Precision: Utilising a Large Language Model to Extract U Scores from Thyroid Sonography Reports. in J Mantas, A Hasman, P Gallos, E Zoulias & K Karitis (eds), Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics. Studies in health technology and informatics, vol. 328, IOS Press, pp. 56-60, International Conference on Informatics, Management, and Technology in Healthcare 2025, Athens, Greece, 4/07/25. https://doi.org/10.3233/SHTI250672
Tong, C, Pournik, O, Arvanitis, TN, Yilmaz, G, Caballero Garcia, J & Largo Arana, A 2025, Leveraging Drools Workbench for Effective Clinical Decision Support System Design. in DSAI '24: Proceedings of the 11th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 277-281, 11th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, DSAI 2024, Abu Dhabi, United Arab Emirates, 13/11/24. https://doi.org/10.1145/3696593.3696605
Pournik, O, Mukherjee, T, Panchal, S, Abbasi, SF, de la Torre Pardos, J, Verdoy Berastegi, D, Kaye, R, Dichmann Sorknæs, A, Ghalichi, L & Arvanitis, TN 2025, Patients vs. Healthcare Providers: A Comparative Analysis of Technology Acceptance Using the UTAUT Model. in E Andrikopoulou, P Gallos, TN Arvanitis, R Austin, A Benis, R Cornet, P Chatzistergos, A Dejaco, L Dusseljee-Peute, A Mohasseb, P Natsiavas, H Nakkas & P Scott (eds), Intelligent Health Systems – From Technology to Data and Knowledge: Proceedings of MIE 2025. Studies in health technology and informatics, vol. 327, IOS Press, pp. 383-387, 35th Medical Informatics Europe Conference, Glasgow, United Kingdom, 19/05/25. https://doi.org/10.3233/SHTI250349
Abbasi, SF, Bilal, M, Mukherjee, T, Pournik, O, Moukafih, N, Epiphaniou, G, Maple, C & Arvanitis, TN 2025, Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT). in E Andrikopoulou, P Gallos, TN Arvanitis, R Austin, A Benis, R Cornet, P Chatzistergos, A Dejaco, L Dusseljee-Peute, A Mohasseb, P Natsiavas, H Nakkas & P Scott (eds), Intelligent Health Systems - From Technology to Data and Knowledge: Proceedings of MIE 2025. Studies in Health Technology and Informatics, vol. 327, IOS Press, pp. 1195-1199, 35th Medical Informatics Europe Conference, MIE 2025, Glasgow, United Kingdom, 19/05/25. https://doi.org/10.3233/SHTI250579
Abbasi, SF, Bilal, M, Mukherjee, T, Ul Islam, S, Pournik, O & Arvanitis, TN 2025, Preliminary Results on Improved Synthetic Image Generation for Melanoma Skin Cancer. in J Mantas, A Hasman, E Zoulias, K Karitis, P Gallos, M Diomidous, S Zogas & M Charalampidou (eds), Envisioning the Future of Health Informatics and Digital Health. Studies in Health Technology and Informatics, vol. 323, IOS Press, pp. 216-220, International Conference on Informatics, Management, and Technology in Healthcare 2024, 13/12/24. https://doi.org/10.3233/SHTI250081
Review article
Mukherjee, T, Pournik, O & Arvanitis, TN 2025, 'Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the characterisation and management of childhood brain tumours', Digital Health , vol. 11. https://doi.org/10.1177/20552076251336285
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