Julia Schnabel

Computer imaging researcher

Julia Schnabel

Alma mater|

* University College London (PhD)
* Technische Universität Berlin (Diplom)

Scientific career
Institutions|

* King's College London
* University of Oxford
* University College London
* Technische Universität München
* Helmholtz Zentrum München

Thesis|  Multi-scale active shape description in medical imaging  (1998)
Doctoral advisor| Simon R. Arridge
Website|

* kclpure.kcl.ac.uk/portal/en/persons/julia-schnabel(1b0b41d0-b562-45c3-9d92-0f22f367203f).html
* www.professoren.tum.de/en/schnabel-julia
* www.helmholtz-munich.de/en/iml/pi/julia-schnabel

Julia A. Schnabel is Professor in Computational Imaging and AI in Medicine (TUM Liesel Beckmann Distinguished Professorship) at Technische Universität München,[1] Director of the Institute of Machine Learning in Biomedical Imaging at Helmholtz Zentrum München[2] (Helmholtz Distinguished Professorship), and Chair of Computational Imaging at the School of Biomedical Engineering and Imaging Sciences at King's College London.[3] Previously, she was Associate Professor in Engineering Science (Medical Imaging) at University of Oxford where she became Full Professor of Engineering Science in 2014.[4]

## Education[edit]

Schnabel completed her Diplom (MSc equiv.) in computer science at Technische Universität Berlin in 1993, and her PhD in computer science at University College London in 1998. She held post-doctoral positions at University College London, King's College London, and at the University Medical Center Utrecht.[citation needed]

## Research[edit]

Schnabel's research interests are in machine learning for biomedical imaging, in particular nonlinear motion modelling, multi-modality, dynamic and quantitative imaging with applications in cancer, neuroimaging, cardiovascular diseases, and fetal health.[5]

## Selected awards and honours[edit]

Schnabel is an elected member of the MICCAI Society Board (2017–21)[6] and a Technical Representative in the Administrative Committee of the IEEE Engineering in Medicine and Biology Society (2017–19, re-elected 2020-22).[7] She has been a member of the Scientific board of the French Institute for Research in Computer Science and Automation (INRIA) from 2017 to 2019.[8] Furthermore, she was a member of the EPSRC Healthcare Technologies Strategic Advisory Team.[9] In 2018, Schnabel was awarded a MICCAI Fellowship which is awarded annually to "a small number of senior members of the society in recognition of substantial scientific contributions to the MICCAI research field and service to the MICCAI community".[10] She was elected as Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS) for the ELLIS Health programme[11] and as Fellow of the IEEE in 2021 "For contributions to medical image computing".[12]

## References[edit]

1. ^ "Prof. Julia Schnabel". Retrieved 16 October 2022.
2. ^ "Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich". Retrieved 16 October 2022.
3. ^ "King's College London - Prof. Julia Schnabel". Retrieved 10 March 2020.
4. ^ "Institute for Biomedical Engineering Oxford". Retrieved 10 March 2020.
5. ^ "Prof. Julia Schnabel". Retrieved 10 March 2020.
6. ^ "MICCAI Board of directors". Retrieved 10 March 2020.
7. ^ "IEEE EMB Administrative Committee". Retrieved 10 March 2020.
8. ^ "INRIA Scientific Board". Retrieved 10 March 2020.
9. ^ "EPSRC Strategic Advisory Team". Retrieved 10 March 2020.
10. ^ "Medical Image Computing and Computer Assisted Intervention Society".
11. ^ "ELLIS programs". Retrieved 10 March 2020.
12. ^ "Newly Elevated Fellow Class 2021" (PDF). Institute of Electrical and Electronics Engineers (IEEE). Retrieved 16 October 2022.

Authority control databases: Academics |

* DBLP
* Google Scholar
* ORCID
* Scopus

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