Julia Schnabel


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Personal profile

Biographical details

Julia Schnabel joined King's College London in July 2015 as Chair in Computational Imaging at the School of Biomedical Engineering and Imaging Sciences, where until 2020 she has been the Director of the EPSRC Centre for Doctoral Training in Smart Medical Imaging, jointly run by King’s College London and Imperial College London - visit www.imagingcdt.com for more details on PhD opportunities. From 2018-21 she was School Lead for Research & Impact, and Deputy Director of the NIHR funded Medtech and In vitro diagnostic Co-operative (MIC) in Cardiovascular Diseases

Since 5/2021, Julia is also Professor in Computational Imaging and AI in Medicine (TUM Liesel Beckmann Distinguished Professorship) at Technical University of Munich, and Helmholtz Distinguished Professor at Helmholtz Center Munich for Health and Environment. She retains a part-time appointment at King's College London in her current academic role.

Julia is elected member of the MICCAI Society Board (2017-21) and the IEEE EMBS Administrative Committee (2017-19, re-elected 2020-22). She has also been a member of the Inria Science Board (2017-20) and the EPSRC Strategic Advisory Team (SAT) in Healthcare Technology (2018-21). In 2018 Julia was elected MICCAI Fellow "For contributions to multiple areas of medical image computing, and for distinguished service to the MICCAI conference and Society", and in 2019 she became Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). In 2021 Julia was elected Fellow of IEEE "For contributions to medical image computing".


  • 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 research interests are in machine/deep learning, nonlinear motion modelling, multi-modality, dynamic and quantitative imaging with applications in cancer, cardiovascular diseases, and fetal health. Her focus is on correcting complex types of motion, such as sliding organs or fetal movements, as well as imaging artefacts. 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 £8m as Principal Investigator of grants or within large programmes. She has successfully supervised over 20 doctoral students to completion, who have been receiving a number of prestigious Young Investigator Awards and a BMVA Doctoral Thesis prize. She currently co-/supervises 4 postdoctoral researchers and 2 PhD students at King's.

Julia has co-/authored over 200 peer-reviewed publications, is Steering Committeee member of IEEE Transactions on Medical Imaging,  Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence, a member of the Editorial Board of Medical Image Analysis, and a Founding and Executive Editor of the Journal on Machine Learning for Medical Imaging (MELBA), a new free open-access journal. 

Julia was a Director of the successful International Medical Imaging Summer School (MISS) exploring the interface between medical imaging, computer vision and machine/deep learning. She has been Programme Chair of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 held in Granada, Spain (miccai2018.org), and Chair of the 7th International Workshop on Biomedical Image Registration (WBIR) 2016 held in Las Vegas, USA, in conjunction with CVPR. Julia was General Chair of the 27th International Conference on Information Processing in Medical Imaging (IPMI 2021), General Co-Chair of WBIR 2022 held in Munich, Germany, and will be General Chair of MICCAI 2024 to be held in Marrakesh, Morocco. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Computer Science, UCL University College London

Award Date: 28 Feb 1998

Master of Science, Computer Science, Technical University of Berlin

Award Date: 30 Sept 1993

External positions

Visiting Professor in Engineering Science, University of Oxford

Aug 2015Aug 2018

Visiting Professor, Nagoya University

Mar 2013Apr 2014

Honorary Senior Research Associate, UCL University College London

Nov 2007 → …


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