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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Archontis Giannakidis
Data Science

Archontis Giannakidis

PhD, Medical Image Analysis Scientist, National Heart and Lung Institute, Imperial College London, UK

Faculty Profile

Dr. Archontis Giannakidis is a Medical Image Analysis Scientist with the National Heart and Lung Institute (NHLI) of Imperial College London, UK.

He received his BSc in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece, and his MSc (with distinction) in Modern Digital and Wireless Communications from the University of Leeds, UK. In 2010, he was awarded his PhD in Electronic Engineering (area: inverse problems/vector-field tomographic reconstruction) from the University of Surrey, UK.

Dr. Giannakidis has received postdoctoral training in research centres with high global impact (Imperial College London, Berkeley Lab, Johns Hopkins University). He has participated in numerous cutting-edge research projects funded by the European Union (EPSRC, BHF) and the United States of America (NIH, Department of Energy). He has been on the organisation committee for international conferences, and has experience supervising MSc and BSc students. He has won EPSRC scholarship awards due to achieving high academic performance, and is a regular reviewer for major international journals such as IEEE Transactions on Medical Imaging, Journal of Cardiovascular Magnetic Resonance, and IoP.

Dr. Giannakidis's research lies in the area of medical image analysis and machine learning for magnetic resonance imaging (MRI). He has published 30 academic publications.

Experience

  • 2016 | London, UK

    Supervision of Marinos Ioannides for a Cardiovascular BSc Project

    Imperial College London

  • 2010 - 2011 | California, USA

    Teacher

    Berkeley Lab, Berkeley

  • 2006 - 2009 | London, UK

    Teaching the 1st year Mathematics Course in the Department of Electrical & Electronic Engineering

    Imperial College London

  • 2006 - 2009 | London, UK

    Teaching mathematics to individual AS-Level, A-Level and university students

    Private tuition

  • 2004 - 2005 | Larisa, Greece

    Information Technology (IT) Instructor, Teaching Java, Visual C++, C++, C, AutoCAD, Office

    Various State and Private IT Institutes

Publications

  • 2017

    Nielles-Vallespin S., Khalique Z., Ferreira P. F., de Silva R., Scott A. D., Kilner P., McGill L. A., Giannakidis A., Gatehouse P. D., Ennis D., Aliotta E., Al-Khalil M., Kellman P., Mazilu D., Balaban R. S., Firmin D. N., Arai A. E., Pennell D. J. Evaluation of microstructural dynamics underlying myocardial wall thickening in-vivo by diffusion tensor cardiac magnetic resonance: validation and clinical translation in human dilated cardiomyopathy

    Journal of the American College of Cardiology 69(6), 661--676.

  • 2016

    Giannakidis A., Melkus G., Yang G., Gullberg G. T. . On the averaging of cardiac diffusion tensor MRI data: The effect of distance function selection

    Physics in Medicine and Biology 61(21):7765--7786

  • 2016

    Tran N., Giannakidis A., Gullberg G. T., Seo Y. . Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging

    Journal of Medical Imaging 3(4), 046001

  • 2016

    Giannakidis A., Gullberg G. T., Pennell D. J., Firmin D. N. . Value of formalin fixation for the prolonged preservation of rodent myocardial microanatomical organization: Evidence by MR diffusion tensor imaging

    The Anatomical Record 299(7), 878--887

  • 2015

    McGill L.-A., Ferreira P. F., Scott A. D., Nielles-Vallespin S., Giannakidis A., Kilner P. J., Gatehouse P. D., de Silva R., Firmin D. N., Pennell D. J. . Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers

    Journal of Cardiovascular Magnetic Resonance 18:2

  • 2015

    Giannakidis A., Nyktari E., Keegan J., Pierce I., Suman-Horduna I., Haldar S., Pennell D. J., Mohiaddin R., Wong T., Firmin D. N. . Rapid automatic segmentation of abnormal tissue in late gadolinium enhancement cardiovascular magnetic resonance images for improved management of long-standing persistent atrial fibrillation

    BioMedical Engineering OnLine 14:88

  • 2015

    McGill L.-A., Scott A. D., Ferreira P. F., Nielles-Vallespin S., Ismail T., Kilner P. J., Gatehouse P. D., de Silva R., Prasad S. K., Giannakidis A., Firmin D. N., Pennell D. J. . Heterogeneity of fractional anisotropy and mean diffusivity measurements by in vivo diffusion tensor imaging in normal human hearts

    PLoS ONE 10(7): e0132360

Courses by Archontis

Data Science

Image and Video Analysis

27 Nov - 15 Dec 2017

Barcelona

Data Science

Linear Algebra – 1

27 Nov - 15 Dec 2017

Barcelona

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