Expertise: biomedical image analysis; computational imaging; cancer imaging; neuroimaging; image registration; imaging biomarkers; segmentation
Julia Schnabel graduated with an MSc Computer Science, Technical University of Berlin in 1993, and a PhD Computer Science, University College London, UK in 1999. She took up positions as Research Associate/Fellow at the Image Sciences Institute, University Medical Center Utrecht, NL (1998-9), the Division of Imaging Science at King’s College London, UK (1999-2004), and at the Centre of Medical Image Computing, University College London, UK (2004-7). In 2007 she was appointed University Lecturer (Associate Professor) in Engineering Science at the University of Oxford, UK in association with a Tutorial Fellowship in Engineering at St. Hilda’s College, Oxford, and co-founded the Biomedical Image Analysis Laboratory at the Institute of Biomedical Engineering. In 2014 she was conferred the title of Professor of Engineering Science by the University of Oxford, and in 2015 she joined the Division of Imaging Sciences & Biomedical Engineering, King’s College London, UK as Chair in Computational Imaging. Julia’s current research interests are in nonlinear motion modelling/image registration, 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. 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.