WORK EXPERIENCE

January 2022 – now Research

Associate at National and Kapodistrian University of Athens (NKUA)
School of Medicine MSc “Global Health – Disaster Medicine”

June 2012 – May 2021

Research Assistant at Foundation of Research and Technology
of Heraklion (FORTH)
Computational Bio-Medicine Laboratory (CBML)
Medical Image Analysis, Quantitative Magnetic Resonance Imaging (MRI)

October 2011- March 2012

Internship in European Patent Office (Den Haag) [EPO]
Patent Classification
Diagnostic Imaging using X-ray, Magnetic Resonance Imaging and Ultrasound modalities
Detecting, measuring or recording for diagnostic purposes

November 2004 – March 2006

Obligatory military service In charge of Greek Army

October 2003 – April 2004

GE Medical Systems Hellas S.A.
Trainee Technician (Professional training – Part of the studies at Technological Educational Institute, TEI)
Installation, Support and Maintenance of Medical Systems Diagnostic Imaging (Computed Tomography, Magnetic Resonance Imaging, Nuclear Medicine)

TEACHING EXPERIENCE

March 2022 – September 2022
University of West Attica, Athens
Department of Biomedical Engineering, Adjunct Professor, “Pattern Recognition in Medicine and Biology”

EDUCATION

December 2018 – present

Athens School of Fine Arts
Sculpture Department
Five years Diploma

March 2015 – July 2020

PhD candidate
University of Crete,
School of Medicine
Title: Multi parametric analysis of quantitative indexes of multiple nonconventional MRI techniques for Multi Sclerosis and Clinical Isolated Syndrome patients

April 2007 – July 2011

National Technical University of Athens
School of Electrical and Computer Engineering
Five years Diploma in Electrical and Computer Engineering
Specialization in Electronics and Systems
Thesis Topic: Applications of image segmentation algorithms to
archaeological digital object representations

September 1999 – September 2004

Technological Educational Institute of Athens (TEI)
Faculty of Technological Applications
Bachelor in Biomedical Engineering
Biomedical Technology, Biomedical Instrumentation, Medical Physics
Thesis Topic: Implementation of a Voice Recognition System

September 1996 – June 1999
1st Technical Vocational Lyceum (Senior High School)
of Heraklion, Crete
Department of Electronic Installations and Automation Section of Electronics

RESEARCH INTERESTS

Brain and mind investigation, human – machine interaction
Medical Imaging, Medical Informatics

SCHOLARSHIP

PhD funded by Hellenic Foundation for Research and Innovation (H.F.R.I)
ARCHERS (“Advancing Young Researchers’ Human Capital in Cutting Edge Technologies in the Preservation of Cultural Heritage and the Tackling of Societal Challenges”) Stavros Niarchos Foundation

PROGRAMMING – COMPUTER SKILLS

Matlab, C

LANGUAGES

Greek (Native Speaker)
English (First Certificate in English)

PERSONAL INTERESTS Climbing, Mountaineering, Mountain Bike, Music

Publication List

Conferences (7)

1. Venianaki, M., Karantanas, A., de Bree, E., Maris, T, Kontopodis, E., Nikiforaki, K., Salvetti, O., & Marias, K. (2018). Assessment of soft-tissue sarcomas perfusion using data-driven techniques. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 4-7 March 2018. (978-1-5386-2405-0 978-1-5386-2406-7), doi: 10.1109/BHI.2018.8333441 .
2. Kontopodis, E., Manikis, G., Skepasianos, I., Tsagkarakis, K., Nikiforaki, K., Papadakis Z., G., Maris, Th.G., Papadaki, E., Karantanas, A., & Marias, K. (2018). DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response. 2018 IEEE International Conference on Imaging Systems and Techniques (IST), October 2018. doi: 10.1109/IST.2018.8577128.
3. Kontopodis, E., Manikis, G., Nikiforaki, K., Venianaki, M., Marias, K., Maris, Th.G., Karantanas, A., & Papadaki, E. (2018). Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: a preliminary study. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 4-7 March 2018. (978-1-5386-2405-0 978-1-5386-2406-7), doi: 10.1109/BHI.2018.8333366 .
4. Kontopodis, E., Karatzanis, I., Sakkalis, V., Buffa, F., & Marias, K. (2016). A DCE-MRI analysis workflow. Computer Graphics International (CGI), the 33rd Annual Conference, June 28-July 01, 2016.
5. Venianaki, M., Kontopodis, E., Nikiforaki, K., de Bree, E., Salvetti, O., & Marias, K. (2016). A model-free approach for imaging tumor hypoxia from DCE-MRI data. Computer Graphics International (CGI), the 33rd Annual Conference, June 28-July 01, 2016.
6. Venianaki, M., Kontopodis, E., Nikiforaki, K., de Bree, E., Maris, T, Karantanas, A., Salvetti, O., & Marias, K. (2016). Improving hypoxia map estimation by using model-free classification techniques in DCE-MRI images. 2016 IEEE International Conference on Imaging Systems and Techniques (IST), 4-6 Oct. (pp. 183-188). IEEE Xplore: IEEE doi: http://dx.doi.org/10.1109/IST.2016.7738220 Date of publication: 10 Nov. 2016 .
7. Marias, K., Nikiforaki, K., Manikis, G., Kontopodis, E., & Papanikolaou, N. (2016). Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges. Computer Graphics International (CGI), the 33rd Annual Conference, June 28-July 01, 201

Books Chapter

• Manikis, G., Kontopodis, E., Nikiforaki, K., Marias, K., & Papanikolaou, N. (2016). Imaging biomarkers model-based analysis. Imaging Biomarkers: Development and Clinical Integration. Springer.

Periodicals (9)

1. Kontopodis, E., Papadaki, E., Trivizakis, E., Maris, T. G., Simos, P., Papadakis, G. Z….. & Marias, K. (2021). Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients. Experimental And Therapeutic Medicine, 22(1149).
2. Kontopodis, E., Marias, K., Manikis, G., Nikiforaki, K., Venianaki, M., Maris, T., & Papadaki, E. (2020). Extended perfusion protocol for MS lesion quantification. Open Medicine, 15(1), 520-530.
3. Katerina Nikiforaki, Georgios C Manikis, Eleftherios Kontopodis, Eleni Lagoudaki, Eelco de Bree, Kostas Marias, Apostolos H Karantanas, Thomas G Maris (2019). T2, T2* and spin coupling ratio as biomarkers for the study of lipomatous tumors. Physica Medica, Elsevier.
4. Kontopodis, E., Venianaki, M., Manikis, G., Nikiforaki, K., Salvetti, O., Papadaki, E., Papadakis, G., Karantanas, A., & Marias, K. (2019). Investigating the role of model-based and model-free imaging biomarkers as early predictors of neoadjuvant breast cancer therapy outcome. IEEE J Biomed Health Inform, IEEE (https://www.ncbi.nlm.nih.gov/pubmed/30716054), doi: 10.1109/JBHI.2019.2895459.
5. Venianaki, M., Salvetti, O., de Bree, E., Maris, Th.G., Karantanas, A., Kontopodis, E., Nikiforaki, K., & Marias, K. (2018). Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma. Multimedia Tools and Applications, 77(8), 9417-9439, Springer US (1573-7721 (Online ISSN)), doi: https://doi.org/10.1007/s11042-017-5046-6.
6. Spanakis, M., Kontopodis, E., Van Cauter, S., Sakkalis, V., & Marias, K. (2016). Assessment of DCE-MRI parameters for brain tumors through implementation of physiologically –based pharmacokinetic models approaches for Gd-DOTA. Journal of Pharmacokinetics and Pharmacodynamics, 19 September 2016, 43(5), 529-547, Springer US (1567-567X, 1573-8744 , https://doi.org/10.1007/s10928-016-9493-x), doi: 10.1007/s10928-016-9493-x.
7. 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.
8. Kontopodis, E., Kanli, G., Manikis, G., Van Cauter, S., & Marias, K. (2015). Assessing Treatment Response Through Generalized Pharmacokinetic Modeling of DCE-MRI Data. , 14(4), 41-51.
9. Kalaitzakis, G., Kavroulakis, L., Boursianis, T., Veneti, S., Kontopodis, E., Marias, K., Papadaki, E., Karantanas, A., & Maris, Th.G. (2014). Magnetic relaxation measurements on tissue mimicking phantoms: comparison between different fitting algorithms in MRI T2 calculations. Physica Medica , 30(1), 118-119.

Others

• Manikis, G., Kontopodis, E., & Marias, K. (2016). Apparatuses, methods and systems for estimating water diffusivity and microcirculation of blood using dw-mri data. May 19, 2016, Publication number: 20160139226 Filed: November 13, 2015.