Archontis Giannakidis
Data science

Archontis Giannakidis

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

The Courses

  • Image and Video Analysis
  • Linear Algebra – 1


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.

Teaching experience

2016, Imperial College London, London, UK
Supervision of Marinos Ioannides for a Cardiovascular BSc Project

2010 – 2011, Berkeley Lab, Berkeley, California, USA

2006 – 2009, Imperial College London, London, UK
Teaching the 1st year Mathematics Course in the Department of Electrical & Electronic Engineering

2006 – 2009, Private tuition, London, UK
Teaching mathematics to individual AS-Level, A-Level and university students

2004 – 2005, Various State and Private IT Institutes, Larisa, Greece
Information Technology (IT) Instructor,
Teaching Java, Visual C++, C++, C, AutoCAD, Office


  • 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. (2017). 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.
  • Giannakidis A., Melkus G., Yang G., Gullberg G. T. (2016). On the averaging of cardiac diffusion tensor MRI data: The effect of distance function selection. Physics in Medicine and Biology 61(21):7765--7786.
  • Tran N., Giannakidis A., Gullberg G. T., Seo Y. (2016). Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging. Journal of Medical Imaging 3(4), 046001.
  • Giannakidis A., Gullberg G. T., Pennell D. J., Firmin D. N. (2016). 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.
  • 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. (2015). Relationship between cardiac diffusion tensor imaging parameters and anthropometrics in healthy volunteers. Journal of Cardiovascular Magnetic Resonance 18:2.
  • Giannakidis A., Nyktari E., Keegan J., Pierce I., Suman-Horduna I., Haldar S., Pennell D. J., Mohiaddin R., Wong T., Firmin D. N. (2015). 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.
  • 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. (2015). Heterogeneity of fractional anisotropy and mean diffusivity measurements by in vivo diffusion tensor imaging in normal human hearts. PLoS ONE 10(7): e0132360. doi:10.1371/journal.pone.0132360.

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