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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 www.imagingcdt.com for more details on PhD opportunities. 

 

Education

  • 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, Institute of Biomedical Engineering, University of Oxford. July 2014 → June /2015  
  • University Lecturer (Associate Professor since January 2014) 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 nonlinear motion modelling, multi-modality imaging and quantitative imaging for applications in cancer 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 (dPET, CTp, DCE-MRI and US). She also has an interest in machine learning techniques for disease 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 attracted over £12m in funding over the past 8 years (£1m as PI), and has supervised 10 doctoral students to completion, who have been receiving a number of prestigious young investigator and doctoral thesis awards. She 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 has been a Director of the 1st International Medical Imaging Summer School 2014, and has a keen interest in postgraduate training.

 

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