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 |
