ICS Publications - CBML

Conferences (11)

    Papers in Proceedings (full-paper reviewed)

  1. Tzedakis, G., Liapis, E., Tzamali, E., Zacharakis, G., & Sakkalis, V. (2016). A hybrid discrete-continuous model of in vitro spheroid tumor growth and drug response. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 18 October 2016. IEEE (1557-170X / 1558-4615 ), doi: 10.1109/EMBC.2016.7592130 http://ieeexplore.ieee.org/abstract/document/7592130/.
  2. Tzamali, E., Tzedakis, G., Marias, K., Zacharakis, G., Zacharopoulos, A., & Sakkalis, V. (2014). Simulating cancer behavior based on in silico modeling and in vivo molecular imaging approaches: Prospects and limitations. 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. IEEE; 2014:251-256.
  3. Tzamali, E., Favicchio, R., Roniotis, A., Tzedakis, G., Grekas, G., Ripoll, J., Marias, K., Zacharakis, G., & Sakkalis, V. (2013). Employing in-vivo Molecular Imaging in Simulating and Validating Tumor Growth. 35th IEEE-EMBS, Engineering in Medicine and Biology Society (EMBC 2013).
  4. Tzedakis, G., Tzamali, E., Sakkalis, V., Roniotis, A., & Marias, K. (2012). Hybrid Model for Tumor Spheroids with Intratumoral Oxygen Supply Heterogeneity. 5th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation, Athens, Greece, October 22-23, 2012.
  5. Roniotis, A., Sakkalis, V., Tzamali, E., Tzedakis, G., Zervakis, M.E., & Marias, K. (2012). Solving the PIHNA model while accounting for radiotherapy. 5th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation, Athens, Greece, October 22-23, 2012.
  6. Tzamali, E., Sakkalis, V., & Marias, K. (2012). The effects of near optimal growth solutions in genome-scale human cancer metabolic model. 12th International Conference on BioInformatics and BioEngineering, Larnaca, Cyprus, November 11-13, 2012, (pp. 626-631).
    Papers in Proceedings (abstract reviewed)

  1. Favicchio, R., Tzamali, E., Sakkalis, V., Marias, K., Mamalaki, M., Papamatheakis, J., Ripoll, J., & Zacharioudakis, G. (2013). Integration of in vivo imaging with in silico growth models predict the distribution of viable cancer cell populations. World Molecular Imaging Congress.
  2. Tzamali, E., Sakkalis, V., & Marias, K. (2012). Cancer metabolism: Computational study of the lactate secretion metabolic strategy. 7th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB 2012), Heraklion, Greece, October 4-6, 2012.
    Poster presentations (abstract reviewed)

  1. Oraiopoulou, M.E., Psycharakis , S., Tzamali, E., Sakkalis, V., Vakis, A., Papamatheakis, J., & Zacharakis, G. (2016). Imaging pathophysiologic parameters of primary Glioblastoma spheroids with light sheet microscopy towards theranostic heuristics. 11th annual event of the European Technology Platform on Nanomedicine, Heraklion, Crete, October 2016.
  2. Spanakis, M., Oraiopoulou, M.E., Tzamali, E., Sakkalis, V., Maris, Th.G., Papadaki, E., Karantanas, A., & Marias, K. (2014). An in silico estimation of the pharmacokinetics profile and disposition of Gd-DTPA in brain tumor lesions of different vasculature through PBPK models. 11th Congress of the European Association of Neuro-Oncology, Turin, Italy, October 9-12, 2014, 11th Congress of the European Association of Neuro-Oncology, Turin, Italy, October 9-12, 2014 (poster ID P16. 33)(vol. 2, pp. 85-86). (doi:10.1093/neuonc/nou174.328).
  3. Favicchio, R., Tzamali, E., Sakkalis, V., Marias, K., Mamalaki, M., Papamatheakis, J., Ripoll, J., & Zacharakis, G. (2013). Monitoring tumor growth in vivo with fluorescence molecular tomography; comparison with a predictive in silico model. European Molecular Imaging Meeting (EMIM 2013).

            WorkShops (2)

              Papers in Proceedings (full-paper reviewed)

            1. Tzedakis, G., Grekas, G., Tzamali, E., Marias, K., & Sakkalis, V. (2014). The importance of grid size and boundary conditions in discrete tumour growth modeling. In: Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop (IARWISOCI), 2014 6th International. IEEE; 2014:1-4..
                  Posters

                1. Oraiopoulou, M.E., Avtzi, S., Psycharakis , S., Tzamali, E., Sakkalis, V., Papamatheakis, J., Vakis, A., & Zacharakis, G. (2016). Imaging glioblastoma pathophysiology on animal and 3D cell culture models to improve in silico predictability. 1st ESMI Imaging Technology Summer Workshop – TOPIM TECH, Chania, Crete, Greece.

                        Periodicals (7)

                          Journal Articles

                        1. Oraiopoulou, M.E., Tzamali, E., Tzedakis, G., Vakis, A., Papamatheakis, J., & Sakkalis, V. (2017). In vitro/ in silico study on the role of doubling time heterogeneity among primary Glioblastoma cell lines. BioMed Research International, Special Issue: Basic and Translational Advances in Glioblastoma (BTAG), Hindawi (https://www.hindawi.com/journals/bmri/2017/8569328/), doi: 10.1155/2017/8569328.
                        2. Roniotis, A., Oraiopoulou, M.E., Tzamali, E., Kontopodis, E., Van Cauter, S., Sakkalis, V., & Marias, K. (2015). A proposed paradigm shift in initializing cancer predictive models with DCE-MRI based PK parameters: A feasibility study. Cancer Informatics 14(S4), 7-18.
                        3. Tzedakis, G., Tzamali, E., Marias, K., & Sakkalis, V. (2015). The Importance of Neighborhood Scheme Selection in Agent-based Tumor Growth Modeling. Cancer Informatics.
                        4. Sakkalis, V., Sfakianakis, S.G., Tzamali, E., Marias, K., Stamatakos, G.S., Misichroni, F., Ouzounoglou, E., Kolokotroni, E., Dionysiou, D.D., Johnson, D., McKeever, S., & Graf, N. (2014). Web-Based Workflow Planning Platform Supporting the Design and Execution of Complex Multiscale Cancer ModelsIEEE Journal of Biomedical and Health Informatics.
                        5. Tzamali, E., Poirazi, P., Tollis, I.G., & Reczko, M. (2011). A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities. BMC Systems Biology 20115(167).
                        6. Tzamali, E., Poirazi, P., Tollis, I.G., & Reczko, M. (2009). Computational Identification of Bacterial Communities. International Journal of Biological and Life Sciences1(4), 185-191.
                                    ERCIM News

                                  1. Reczko, M., Poirazi, P., Oulas, A., Tzamali, E., Manioudaki, M., Tsiaras, V., & Tollis, I.G. (2007). The Impact of Systems Biology on the Digital PatientERCIM News69, 50-51, April 2007.
                                      Found: 20 publications
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