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

CV

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

Mitgliedschaften

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

Publikationen

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.

Auszeichnungen

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