| Machine learning applications in cancer prognosis and prediction K Kourou, TP Exarchos, KP Exarchos, MV Karamouzis, DI Fotiadis Computational and structural biotechnology journal 13, 8-17, 2015 | 3355 | 2015 |
| Medical data quality assessment: On the development of an automated framework for medical data curation VC Pezoulas, KD Kourou, F Kalatzis, TP Exarchos, A Venetsanopoulou, ... Computers in biology and medicine 107, 270-283, 2019 | 98 | 2019 |
| Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis K Kourou, KP Exarchos, C Papaloukas, P Sakaloglou, T Exarchos, ... Computational and Structural Biotechnology Journal 19, 5546-5555, 2021 | 82 | 2021 |
| Cancer classification from time series microarray data through regulatory dynamic bayesian networks K Kourou, G Rigas, C Papaloukas, M Mitsis, DI Fotiadis Computers in biology and medicine 116, 103577, 2020 | 42 | 2020 |
| A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast … K Kourou, G Manikis, P Poikonen-Saksela, K Mazzocco, R Pat-Horenczyk, ... Computers in Biology and Medicine 131, 104266, 2021 | 35 | 2021 |
| Sjögren’s syndrome towards precision medicine: the challenge of harmonisation and integration of cohorts AV Goules, TP Exarchos, VC Pezoulas, KD Kourou, AI Venetsanopoulou, ... Clin Exp Rheumatol 37 (Suppl 118), S175-84, 2019 | 27 | 2019 |
| Integration of pathway knowledge and dynamic Bayesian networks for the prediction of oral cancer recurrence K Kourou, C Papaloukas, DI Fotiadis IEEE journal of biomedical and health informatics 21 (2), 320-327, 2016 | 21 | 2016 |
| The Leishmania donovani histidine acid ecto-phosphatase LdMAcP: insight into its structure and function A Papadaki, AS Politou, D Smirlis, MP Kotini, K Kourou, T Papamarcaki, ... Biochemical Journal 467 (Pt 3), 473, 2015 | 19 | 2015 |
| Cohort harmonization and integrative analysis from a biomedical engineering perspective KD Kourou, VC Pezoulas, EI Georga, TP Exarchos, P Tsanakas, ... IEEE reviews in biomedical engineering 12, 303-318, 2018 | 18 | 2018 |
| Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts VC Pezoulas, A Goules, F Kalatzis, L Chatzis, KD Kourou, ... Computational and structural biotechnology journal 20, 471-484, 2022 | 17 | 2022 |
| Overcoming the barriers that obscure the interlinking and analysis of clinical data through harmonization and incremental learning VC Pezoulas, KD Kourou, F Kalatzis, TP Exarchos, E Zampeli, S Gandolfo, ... IEEE open journal of engineering in medicine and biology 1, 83-90, 2020 | 16 | 2020 |
| Prediction of oral cancer recurrence using dynamic Bayesian networks K Kourou, G Rigas, KP Exarchos, C Papaloukas, DI Fotiadis 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 12 | 2016 |
| A Bayesian Network-based approach for discovering oral cancer candidate biomarkers K Kourou, KP Exarchos, C Papaloukas, DI Fotiadis 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 11 | 2015 |
| A multimodal approach for the risk prediction of intensive care and mortality in patients with COVID-19 VC Pezoulas, KD Kourou, C Papaloukas, V Triantafyllia, V Lampropoulou, ... Diagnostics 12 (1), 56, 2021 | 9 | 2021 |
| Enhancing medical data quality through data curation: a case study in primary Sjögren’s syndrome VC Pezoulas, KD Kourou, F Kalatzis, TP Exarchos, AI Venetsanopoulou, ... Clin Exp Rheumatol 118 (3), 90-96, 2019 | 8 | 2019 |
| ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints VC Pezoulas, KD Kourou, E Mylona, C Papaloukas, A Liontos, D Biros, ... Computers in Biology and Medicine 141, 105176, 2022 | 7 | 2022 |
| Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1 E Mylona, K Kourou, G Manikis, H Kondylakis, K Marias, E Karademas, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Predicting lymphoma development by exploiting genetic variants and clinical findings in a machine learning-based methodology with ensemble classifiers in a cohort of Sjögren's … KD Kourou, VC Pezoulas, EI Georga, T Exarchos, C Papaloukas, ... IEEE Open Journal of Engineering in Medicine and Biology 1, 49-56, 2020 | 6 | 2020 |
| Computational models for predicting resilience levels of women with breast cancer K Kourou, H Kondylakis, L Koumakis, GC Manikis, K Marias, M Tsiknakis, ... XV Mediterranean Conference on Medical and Biological Engineering and …, 2020 | 6 | 2020 |
| Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults D Gatsios, EI Georga, KK Kourou, DI Fotiadis, D Kikidis, A Bibas, C Nikitas, ... Proceedings of the 12th ACM International Conference on PErvasive …, 2019 | 6 | 2019 |
DI FotiadisUnit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTHEmail verificata su cc.uoi.gr
