| A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities E Tzamali, P Poirazi, IG Tollis, M Reczko BMC systems biology 5 (1), 1-15, 2011 | 56 | 2011 |
| In vitro/in silico study on the role of doubling time heterogeneity among primary glioblastoma cell lines ME Oraiopoulou, E Tzamali, G Tzedakis, A Vakis, J Papamatheakis, ... BioMed research international 2017, 2017 | 35 | 2017 |
| Integrating in vitro experiments with in silico approaches for Glioblastoma invasion: the role of cell-to-cell adhesion heterogeneity ME Oraiopoulou, E Tzamali, G Tzedakis, E Liapis, G Zacharakis, A Vakis, ... Scientific reports 8 (1), 16200, 2018 | 28 | 2018 |
| Web-based workflow planning platform supporting the design and execution of complex multiscale cancer models V Sakkalis, S Sfakianakis, E Tzamali, K Marias, G Stamatakos, ... IEEE Journal of Biomedical and Health Informatics 18 (3), 824-831, 2014 | 19 | 2014 |
| The importance of neighborhood scheme selection in agent-based tumor growth modeling G Tzedakis, E Tzamali, K Marias, V Sakkalis Cancer informatics 14, CIN. S19343, 2015 | 17 | 2015 |
| Exploring the competition between proliferative and invasive cancer phenotypes in a continuous spatial model E Tzamali, G Grekas, K Marias, V Sakkalis PLoS One 9 (8), e103191, 2014 | 17 | 2014 |
| A 3D tumor spheroid model for the T98G Glioblastoma cell line phenotypic characterization ME Oraiopoulou, M Tampakaki, E Tzamali, T Tamiolakis, V Makatounakis, ... Tissue and Cell 59, 39-43, 2019 | 16 | 2019 |
| Computational identification of bacterial communities E Tzamali, P Poirazi, GI Tollis, M Reczko International Journal of Biological and Life Sciences 1 (4), 185-191, 2009 | 10 | 2009 |
| Modeling how heterogeneity in cell cycle length affects cancer cell growth dynamics in response to treatment E Tzamali, G Tzedakis, V Sakkalis Frontiers in Oncology 10, 1552, 2020 | 9 | 2020 |
| A hybrid discrete-continuous model of in vitro spheroid tumor growth and drug response G Tzedakis, E Liapis, E Tzamali, G Zacharakis, V Sakkalis 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 9 | 2016 |
| PML differentially regulates growth and invasion in brain cancer M Tampakaki, ME Oraiopoulou, E Tzamali, G Tzedakis, T Makatounakis, ... International Journal of Molecular Sciences 22 (12), 6289, 2021 | 5 | 2021 |
| A proposed paradigm shift in initializing cancer predictive models with dce-mri based pk parameters: a feasibility study A Roniotis, ME Oraiopoulou, E Tzamali, E Kontopodis, S Van Cauter, ... Cancer Informatics 14, CIN. S19339, 2015 | 5 | 2015 |
| Employing in-vivo molecular imaging in simulating and validating tumor growth E Tzamali, R Favicchio, A Roniotis, G Tzedakis, G Grekas, J Ripoll, ... 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 4 | 2013 |
| Solving the PIHNA model while accounting for radiotherapy A Roniotis, V Sakkalis, E Tzamali, G Tzedakis, M Zervakis, K Marias Proceedings of the 2012 5th International Advanced Research Workshop on In …, 2012 | 4 | 2012 |
| Application of a deep-learning technique to non-linear images from human tissue biopsies for shedding new light on breast cancer diagnosis V Tsafas, I Oikonomidis, E Gavgiotaki, E Tzamali, G Tzedakis, C Fotakis, ... IEEE Journal of Biomedical and Health Informatics 26 (3), 1188-1195, 2021 | 3 | 2021 |
| A framework linking glycolytic metabolic capabilities and tumor dynamics E Tzamali, G Tzedakis, V Sakkalis IEEE Journal of Biomedical and Health Informatics 23 (5), 1844-1854, 2019 | 3 | 2019 |
| The effects of near optimal growth solutions in genome-scale human cancer metabolic model E Tzamali, V Sakkalis, K Marias 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering …, 2012 | 3 | 2012 |
| The benefit of cooperation: Identifying growth-efficient interacting strains of Escherichia coli using metabolic flux balance models E Tzamali, M Reczko 2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1-6, 2008 | 3 | 2008 |
| The importance of grid size and boundary conditions in discrete tumor growth modeling G Tzedakis, G Grekas, E Tzamali, K Marias, V Sakkalis Proceedings of the 2014 6th International Advanced Research Workshop on In …, 2014 | 2 | 2014 |
| P16. 33 AN IN SILICO ESTIMATION OF THE PHARMACOKINETIC PROFILE AND THE DISPOSITION OF GD-DTPA IN BRAIN TUMOR LESIONS OF DIFFERENT VASCULATURE THROUGH PBPK MODELS M Spanakis, ME Oraiopoulou, E Tzamali, V Sakkalis, TG Maris, ... Neuro-oncology 16 (suppl_2), ii85-ii86, 2014 | 1 | 2014 |
Vangelis SakkalisResearch DirectorVerified email at ics.forth.gr
