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MIC-Special Lecture: “Multi-modal image analysis with application to cancer”


29. September 2016
14:00 - 14:00

Zentrum für Medizinische Physik und Biomedizinische Technik Seminarraum, 4 L

Professor Dr. Julia Schnabel, MSc, PhD
Chair in Computational Imaging at the Division of Imaging Sciences & Biomedical Engineering King's College London

In this talk I will give an overview of my research in multi-modality imaging and computational image analysis, where I will focus on a number of novel non-linear image registration methodologies developed for motion compensation and tumour segmentation in cancer applications. One key area of my research is in modelling complex motion in lung imaging, and in analysing perfusion imaging for colorectal cancer and colorectal liver cancer. For the former, we have developed a range of techniques that take into account the physiological complexity of the respiration process, such as the sliding motion between interfacing organs, both in a continuous and a discrete optimisation setting. For the latter, we have developed a series of solutions that bring in pharmacokinetic modelling with improved input parameters into the registration or segmentation process.

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. She holds an MSc in Computer Science (Technical University of Berlin, 1993), a PhD in Computer Science (University College London, 1998), and has been postdoctoral researcher at the Image Science Institute, Utrecht University (1998-9), and the Imaging Sciences Division, King’s College London (1999-2004), from where she relocated to the then newly founded Centre for Medical Image Computing, University College London (2005-7).  In 2007 she took up a tenured faculty position at the Institute of Biomedical Engineering, University of Oxford, as Associate Professor in Engineering Science (Medical Imaging) in association with a Tutorial Fellowship with St. Hilda’s College, Oxford. In 2014 she was awarded the title of Professor in Engineering Science, and remains a Visiting Professor at Oxford with her appointment at King’s.
Julia's research interests are in complex motion modelling, multi-modality and quantitative imaging for applications in cancer imaging and neurosciences. 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 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: “Medical Imaging meets Computer Vision”, its 2nd edition in 2016 on “Medical Imaging meets Machine Learning", was Co-chair of the Workshop on Biomedical Image Registration WBIR'2016 (held in association with CVPR), and will be MICCAI Programme Chair in 2018.