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Professor Julia Schnabel

Biographical details

Julia Schnabel has joined King's College London in July 2015 as Chair in Computational Imaging at the Division of Imaging Sciences & Biomedical Engineering, taking over the Directorship of the EPSRC Centre for Doctoral Training in Medical Imaging, which is jointly run by King’s College London and Imperial College London - visit for more details on PhD opportunities. She is currently the Head of the Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London.



  • Master of Arts (Oxon) – Degree by Resolution, University of Oxford, UK.  Degree by Resolution, 2007.
  • PhD in Computer Science, University College London, University of London, UK. January 1994 → February  1998.
  • MSc in Computer Science, Technische Universität Berlin, Germany. October 1989 → September 1993

Honorary Posts

  • Visiting Professor in Engineering Science, University of Oxford. Aug 2015 → Aug 2018
  • Visiting Professor, Nagoya University Mar 2013 → Apr 2014
  • Honorary Senior Research Associate, Department of Computer Science, University College London Nov 2007 → Nov 2012

Previous Posts

  • Professor of Engineering Science, University of Oxford, in association with a Tutorial Fellowship in Engineering, St. Hilda’s College, Oxford. July 2014 → June /2015  
  • Associate Professor  in Engineering Science (Medical Imaging), University of Oxford, UK, in association with a Tutorial Fellowship in Engineering, St. Hilda’s College, Oxford, UK. Sept 2007 → July 2014

  • Research Fellow, Centre for Medical Image Computing, University College, London, UK. January 2005 → August 2007

  • Research Fellow, Division of Radiological Sciences and Medical Engineering of Guy's, King's and St. Thomas' School of Medicine, King's College London, UK. September 1999 → December 2004

  • Research Associate, Image Sciences Institute, University Medical Center Utrecht, NL. July 1998 → August 1999

  • Research Assistant / Fellow, Department of Computer Science, University College London, UK. January 1997 → July 1998

Research interests

Julia's current research interests are in machine/deep learning, nonlinear motion modelling, multi-modality imaging, dynamic imaging and quantitative imaging for applications in cancer imaging, cardiovascular imaging, perinatal imaging and neurosciences. Her focus is on developing mathematically principled methods for correcting complex types of motion, such as sliding organs, fetal movements, as well as motion artefacts in dynamic imaging. She also has an interest in early disease detection, characterisation and prediction of response to treatment, with the aim of rapid translation into clinical practice for patient stratification and improved treatment outcome.

Julia has generated/contributed to generating and maintaining research income of around £150m, including over £6m as Principal Investigator of Grants or within large Programmes. She has successfully supervised 15 doctoral students to completion, who have been receiving a number of prestigious young investigator and a doctoral thesis prize. She currently (co-)supervises three PhD students at King's, and three DPhil students at Oxford, as well as 12 postdoctoral researchers at King's, and one at Oxford.

Julia has co-/authored over 150 peer-reviewed publications, is an Associate Editor of IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering, a member of the Editorial Board of Medical Image Analysis, and has served on the programme committees of a number of international medical imaging conferences. She is a Director of the International Medical Imaging Summer School (MISS) exploring the interface between medical imaging, computer vision and machine/deep learning. She is Programme Chair of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 in Granada, Spain. She is elected member of the MICCAI Society board (from 2017) and the IEEE EMBS AdComm (from 2017). She is also a member of the Inria Science Board (2017-19) and the EPSRC Strategic Advisory Team (SAT) in Healthcare Technology (from 2018).

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