zum Inhalt
Header Image

Professor Julia SCHNABEL Professor, Computational Imaging, King's College London


1990-1994 MSc (Computer Science), Technical University Berlin
1994-1998 PhD (Computer Science), University College London
1997-1998 Research Assistant, University College London
1998-1999 Research Associate, University Medical Center Utrecht
1999-2004 Research Fellow, King's College London
2005-2007 Research Fellow, University College London
2007-2015 Associate Professor in Engineering Science (Medical Imaging)), University of Oxford
2014 Visiting Professor, Nagoya University, Japan
2015-2018 Visiting Professor, University of Oxford
since 2018 Chair of Computational Imaging, King's College London


Member, MICCAI Society
Senior Member, IEEE (EMBS, Computer, Women in Engineering)


Oksuz, I. et al. , Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Analysis, 55:136-147, 2019. DOI: 10.1016/j.media.2019.04.009
Puyol E et al. Regional Multi-view Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans Biomed Eng. 2018 Doi: 10.1109/TBME.2018.2865669
Bates R et al. Segmentation of Vasculature from Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. IEEE Trans Med Imaging. 2017 Doi: 10.1109/TMI.2017.2725639. PMID: 28796613.
Cattell L et al. Alzheimer's Disease Neuroimaging Initiative. Classification of amyloid status using machine learning with histograms of oriented 3D gradients. Neuroimage Clin. 2016 12:990-1003. Doi: 10.1016/j.nicl.2016.05.004 PMID: 27995065.


Professor of Enginering Science by Recognition of Distinction, University of Oxford, 2014
Fellow of the MICCAI Society, 2018