Search
photo of Christina Malamateniou

Dr Christina Malamateniou

Director of CRRAG research group/Reader (Associate Professor)

School of Health & Medical Sciences Department of Allied Health

Contact details

Personal links

About

Overview

Christina is a Reader (Associate Professor) in technology enabled care in radiography. She has worked as an academic and researcher in Medical Imaging for the last 23 years, having previously worked as an MRI radiographer in the University Hospital of Athens, Greece, where she qualified. She was awarded her PhD from Imperial College London, having carried out her research on perinatal MRI at the renowned Robert Steiner MRI Unit at Hammersmith Hospital. She has received the clinical MRI prize and Leonard Levy prize of the British Institute of Radiology for her research presented at UKRC in 2006. She was awarded the City extraordinary women award for 2023 https://www.city.ac.uk/news-and-events/news/2023/03/christina-malamateniou-extraordinary-women-2023. In 2025 she was award the Fellowship of the College of Radiographers (FCR), the highest honour, for significant contributions to the radiography profession.

She has taught Medical Imaging and Research Methods in 7 different Universities and 3 countries (acting as visiting lecturer at ATEI of Athens, Greece and UCD Ireland) and she has been an invited/keynote speaker at more than 100 occasions at many key medical imaging conferences globally. Christina is a Senior Fellow of the Higher education academy since 2018. 

She was visiting lecturer of different postgraduate medical imaging courses at King's College London between 2016-2022 and guest lectured at UCL in 2018. She is currently co-director for the postgraduate programme in Radiography and supervises master's and PhD students.

Christina has held many leadership positions at the European Congress of Radiology since 2004, including leading the Radiographers' Scientific programme Committee as Chair for 2016. She is also the Research Committee Chair for the European Federation of Radiographer Societies and was the steering committee lead for the Formal Radiography Research Mentoring (FoRRM) scheme funded by the Society and College of Radiographers between 2017-2023 [https://www.collegeofradiographers.ac.uk/research-grants-and-funding/research-(1)/formal-radiography-research-mentoring-(forrm) ]. She was also the chair of the AI working group of the Society and College of Radiographers between 2020-2023.

She is an MRI expert, having worked extensively in brain MRI, perinatal MRI, placental MRI and high field MRI research studies at Imperial College, University of Liverpool, King's College London. She has also a keen interest in clinical education, research mentoring and research capacity building for healthcare practitioners. She accepts PhD students in any of the above research fields.

Christina has presented her research nationally and internationally and published extensively at many high impact factor journals since 2004. She has received research funding as a co-applicant or main applicant of a total £2.8mi, and is actively involved in improving professional practice and research capacity in radiography through her many leadership positions and research networks.

Christina has co-authored national guidelines on

i) perinatal MRI (with the British Association of Perinatal Medicine, https://www.bapm.org/resources/33-fetal-neonatal-brain-magnetic-resonance-imaging-clinical-indications-acquisitions-and-reporting),

ii) patient and public engagement with research (with the Society and College of Radiographers, (https://www.sor.org/news/people/patient-and-public-partnership-in-research) and

iii) on artificial intelligence in radiography, ( https://www.sor.org/learning-advice/professional-body-guidance-and-publications/documents-and-publications/policy-guidance-document-library/artificial-intelligence-guidance-for-clinical-imag).

She has participated in many local outreach events of different primary schools in London talking about the profession and her research.

She has also worked as a research consultant in Greece, Ireland and UK, to establish fetal MRI services at state and private maternity hospitals, such as the Mitera Maternity Hospital of Athens (2010-2012) and the National Maternity Hospital in Ireland (2013).

Her current research involves fetal MRI with King's College London, simulated practice with University of Greenwich, Ai implementation with the Society and college of Radiographers, cardiovascular MRI with Oxford University, and MRI in autism with the autism group at City University, UCL and University of Bedfordshire and many research collaborators nationally and internationally.

She has supervised 6 PhD students as primary or scondary supervisor in the above fields, 2 so far to completion, with more ready to coplete in the coming years.

Qualifications

  • Senior Fellow, Higher Education Academy, July 2018
  • Diagnostic Radiographer, HCPC, 2018 - March 2020
  • Senior Associate, Royal Society of Medicine
  • Member and co-opted research group member, Society and College of Radiographers
  • PhD, Imperial College London, United Kingdom
  • MA Clinical Education, King's College London, United Kingdom
  • BSc (Hons) Diagnostic Radiography, Technological Educational Institute of Athens, Greece

Employment

  • Adjunct Professor in Radiography, University College Cork, Ireland, January 2024 - December 2026
  • Reader (Associate Professor) in Radiography, City, University of London, United Kingdom, January 2024 - present
  • Visiting Professor, HESAV Lausanne, Switzerland, March 2022 - February 2023
  • Director of Postgraduate programme in Radiography, City, University of London, United Kingdom, January 2019 - present
  • Research lead-Associate Professor Grade, University of Greenwich, United Kingdom, May 2016 - December 2018
  • Lecturer in Perinatal Imaging, King's College London, United Kingdom, May 2012 - May 2016
  • Visiting lecturer, Technological educational institute of Athens, Greece, January 2010 - March 2012
  • Postdoctoral fellow, Imperial College London, United Kingdom, January 2009 - May 2012
  • Lecturer in Radiography, University of Liverpool, United Kingdom, August 2006 - December 2008

Languages

French (can read, write, speak, understand spoken), German (can read, write) and Greek, Modern (1453-) (can read, write, speak, understand spoken, peer review)

Expertise

Geographic Areas

  • Europe
  • Americas - North
  • Australia & Oceania

Research students

1stsupervisor

2ndsupervisor

  • Emily Skelton, Research Student

Publications

Publications by category

Books (2)

  • Malamateniou, C., Hardy, M., M. Knapp, K. and Ramlaul, A. (Eds.), (2026). Artificial Intelligence for Radiographers. Springer Nature Switzerland. ISBN 9783032050793.
  • Malamateniou, C., Hardy, M., Knapp, K. and Ramlaul, A. (2025). Artificial Intelligence for Radiographers Basic Principles, Clinical Applications and Implementation Considerations. Springer. ISBN 9783032050793.

Chapters (6)

  • Malamateniou, C. (2026). Preface. In Malamateniou, C., Hardy, M., Knapp, K.M. and Ramlaul, A. (Eds.), Artificial Intelligence for Radiographers: Basic Principles, Clinical Applications and Implementation Considerations (pp. xix-xxiii). Springer Nature. ISBN 9783032050793.
  • Stogiannos, N., Leandrou, S. and Bougias, C. (2026). AI in Magnetic Resonance Imaging. Artificial Intelligence for Radiographers (pp. 147-166). Springer Nature Switzerland. ISBN 9783032050793.
  • Hardy, M., Knapp, K.M., Ramlaul, A. and Malamateniou, C. (2026). Preparing for a Future with AI. Artificial Intelligence for Radiographers (pp. 291-301). Springer Nature Switzerland. ISBN 9783032050793.
  • Livieratos, L., Trauernicht, C.J. and Champendal, M. (2026). AI Applications in Nuclear Medicine and Hybrid Imaging. Artificial Intelligence for Radiographers (pp. 211-227). Springer Nature Switzerland. ISBN 9783032050793.
  • Malamateniou, C., Hardy, M., Knapp, K.M. and Ramlaul, A. (2026). Radiographer Professional Body Contributions. Artificial Intelligence for Radiographers (pp. 275-289). Springer Nature Switzerland. ISBN 9783032050793.
  • Malamateniou, C. (2024). 29 Clinical View. The Impact of Artificial Intelligence in Radiology (pp. 185-193). CRC Press.

Conference papers and proceedings (16)

  • Skelton, E., Rutherford, M., Malamateniou, C. and Ayers, S. Bonding with babies in the womb: The influence of antenatal imaging. .
  • Willis, S., Malamateniou, C., Khandakar, A. and Bensalah, S. Student-centred blended learning approaches for student success. City Learning and Teaching conference London.
  • Matthew, J., Knight, C., Malamateniou, C., Pasupathy, D. and Rutherford, M. Fetal biometry and estimated fetal weight in the second trimester: A comparison of intra- and interobserver agreement and variability using ultrasound and magnetic resonance imaging with two-dimensional measurements and three-dimensional whole fetal volume techniques. .
  • Lloyd, D.F.A., van Amerom, J.P., Pushparajah, K., Simpson, J., Zidere, V., Miller, O.... Razavi, R. P22 Early experience of multi-sequence fetal cardiac magnetic resonance imaging within a clinical fetal cardiology service. British Congenital Cardiac Association Annual Meeting 17–18 November 2015 Cardiff, UK.doi:10.1136/heartjnl-2016-309377.22
  • Alansary, A., Kamnitsas, K., Davidson, A., Khlebnikov, R., Rajchl, M., Malamateniou, C.... Kainz, B. Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. .doi:10.1007/978-3-319-46723-8_68
  • Kainz, B., Malamateniou, C., Ferrazzi, G., Murgasova, M., Egger, J., Keraudren, K.... Rueckert, D. (2015). Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015) 16-19 April.doi:10.1109/isbi.2015.7164004
  • van Amerom, J., Malamateniou, C., Pushparajah, K., Fox, M., Allsop, J., Rutherford, M.... Razavi, R. In utero assessment of congenital heart disease by MRI: preliminary experience. .
  • Routledge, E., Davidson, A., Allsop, J., Fox, M., Hajnal, J., Malamateniou, C.... Rutherford, M. Optimisation of MR imaging for the evaluation of placenta: preliminary results. .
  • Pegoretti, K., Arulkumaran, S., Allsop, J., Fox, M., Davidson, A., Patkee, P.... Malamateniou, C. Fetal MRI at 3T: how to make it work. .
  • Bowles, C., Nowlan, N.C., Hayat, T.T.A., Malamateniou, C., Rutherford, M., Hajnal, J.V.... Styner, M.A. Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. SPIE Medical Imaging.doi:10.1117/12.2081669
  • Kainz, B., Alansary, A., Malamateniou, C., Keraudren, K., Rutherford, M., Hajnal, J.V.... Rueckert, D. Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. .doi:10.1007/978-3-319-24571-3_66
  • Alansary, A., Lee, M., Keraudren, K., Kainz, B., Malamateniou, C., Rutherford, M.... Rueckert, D. Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. .doi:10.1007/978-3-319-27929-9_2
  • Kainz, B., Malamateniou, C., Murgasova, M., Keraudren, K., Rutherford, M., Hajnal, J.V.... Rueckert, D. Motion corrected 3D reconstruction of the fetal thorax from prenatal MRI. .doi:10.1007/978-3-319-10470-6_36
  • Koch, L.M., Wright, R., Vatansever, D., Kyriakopoulou, V., Malamateniou, C., Patkee, P.A.... Rueckert, D. Graph-Based Label Propagation in Fetal Brain MR Images. .doi:10.1007/978-3-319-10581-9_2
  • Malamateniou, C., Papaioannou, G., Loggitsi, D., Zambelis, I. and Kampas, E. High Field Open MRI: Correlation with Fetal Ultrasound in the Evaluation of Central Nervous System Abnormalities. .doi:10.1038/pr.2011.898
  • Hui Xue, , Malamateniou, C., Allsop, J., Srinivasan, L., Hajnal, J.V. and Rueckert, D. Automatic Extraction and Matching of Neonatal Cerebral Vasculature. 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006..doi:10.1109/isbi.2006.1624868

Internet publication

  • Walsh, G., Malamateniou, C. and St John-Matthews, J.(2023).Why Digital Radiographer Leaders Are Essential To The Healthcare Artificial Intelligence (AI) Ecosystem.

Journal articles (106)