| Effect of the endothelial shear stress patterns on neointimal proliferation following drug-eluting bioresorbable vascular scaffold implantation: an optical coherence tomography … CV Bourantas, MI Papafaklis, A Kotsia, V Farooq, T Muramatsu, ... JACC: Cardiovascular Interventions 7 (3), 315-324, 2014 | 150 | 2014 |
| 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 | 104 | 2019 |
| A new methodology for accurate 3-dimensional coronary artery reconstruction using routine intravascular ultrasound and angiographic data: implications for widespread assessment … CV Bourantas, MI Papafaklis, L Athanasiou, FG Kalatzis, KK Naka, ... EuroIntervention 9 (5), 582-93, 2013 | 95 | 2013 |
| ANGIOCARE: An automated system for fast three‐dimensional coronary reconstruction by integrating angiographic and intracoronary ultrasound data CV Bourantas, FG Kalatzis, MI Papafaklis, DI Fotiadis, AC Tweddel, ... Catheterization and Cardiovascular Interventions 72 (2), 166-175, 2008 | 77 | 2008 |
| Predicting adherence of patients with HF through machine learning techniques GS Karanasiou, EE Tripoliti, TG Papadopoulos, FG Kalatzis, Y Goletsis, ... Healthcare technology letters 3 (3), 165-170, 2016 | 65 | 2016 |
| Fusion of optical coherence tomographic and angiographic data for more accurate evaluation of the endothelial shear stress patterns and neointimal distribution after … CV Bourantas, MI Papafaklis, L Lakkas, A Sakellarios, Y Onuma, ... The international journal of cardiovascular imaging 30, 485-494, 2014 | 51 | 2014 |
| Utility of multimodality intravascular imaging and the local hemodynamic forces to predict atherosclerotic disease progression CV Bourantas, L Räber, A Sakellarios, Y Ueki, T Zanchin, KC Koskinas, ... Cardiovascular Imaging 13 (4), 1021-1032, 2020 | 43 | 2020 |
| Segmentation of microarray images using pixel classification—Comparison with clustering-based methods N Giannakeas, PS Karvelis, TP Exarchos, FG Kalatzis, DI Fotiadis Computers in biology and medicine 43 (6), 705-716, 2013 | 39 | 2013 |
| Impact of local endothelial shear stress on neointima and plaque following stent implantation in patients with ST-elevation myocardial infarction: A subgroup-analysis of the … CV Bourantas, L Räber, S Zaugg, A Sakellarios, M Taniwaki, D Heg, ... International journal of cardiology 186, 178-185, 2015 | 38 | 2015 |
| HEARTEN KMS–A knowledge management system targeting the management of patients with heart failure EE Tripoliti, GS Karanasiou, FG Kalatzis, A Bechlioulis, Y Goletsis, K Naka, ... Journal of Biomedical Informatics 94, 103203, 2019 | 24 | 2019 |
| Short-and long-term implications of a bioresorbable vascular scaffold implantation on the local endothelial shear stress patterns CV Bourantas, MI Papafaklis, HM Garcia-Garcia, V Farooq, R Diletti, ... JACC: Cardiovascular Interventions 7 (1), 100-101, 2014 | 23 | 2014 |
| Spot addressing for microarray images structured in hexagonal grids N Giannakeas, F Kalatzis, MG Tsipouras, DI Fotiadis Computer methods and programs in biomedicine 106 (1), 1-13, 2012 | 19 | 2012 |
| 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 | 18 | 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 |
| The evolution of mHealth solutions for heart failure management EE Tripoliti, GS Karanasiou, FG Kalatzis, KK Naka, DI Fotiadis Heart Failure: From Research to Clinical Practice: Volume 3, 353-371, 2018 | 14 | 2018 |
| Estimation of New York Heart Association class in heart failure patients based on machine learning techniques EE Tripoliti, TG Papadopoulos, GS Karanasiou, FG Kalatzis, A Bechlioulis, ... 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 13 | 2017 |
| Developing a genomic-based point-of-care diagnostic system for rheumatoid arthritis and multiple sclerosis FG Kalatzis, N Giannakeas, TP Exarchos, L Lorenzelli, A Adami, ... 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 11 | 2009 |
| 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 | 10 | 2019 |
| A computational approach for the estimation of heart failure patients status using saliva biomarkers EE Tripoliti, TG Papadopoulos, GS Karanasiou, FG Kalatzis, Y Goletsis, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 10 | 2017 |
| Dealing with open issues and unmet needs in healthcare through ontology matching and federated learning VC Pezoulas, F Kalatzis, TP Exarchos, A Goules, S Gandolfo, E Zampeli, ... 8th European Medical and Biological Engineering Conference: Proceedings of …, 2021 | 9 | 2021 |
DI FotiadisUnit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTHEmail verificata su cc.uoi.gr
