Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery

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SEEK ID: https://publications.h-its.org/publications/144

SEEK ID: https://publications.h-its.org/publications/144

DOI: 10.1117/12.2217163

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: Proc. SPIE

Citation: Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations,p.97890O,SPIE

Date Published: 25th Mar 2016

Registered Mode: imported from a bibtex file

Authors: Andreas Fetzer, Jasmin Metzger, Darko Katic, Keno März, Martin Wagner, Patrick Philipp, Sandy Engelhardt, Tobias Weller, Sascha Zelzer, Alfred M. Franz, Nicolai Schoch, Vincent Heuveline, Maria Maleshkova, Achim Rettinger, Stefanie Speidel, Ivo Wolf, Hannes Kenngott, Arianeb Mehrabi, Beat P. Müller-Stich, Lena Maier-Hein, Hans-Peter Meinzer, Marco Nolden

Citation
Fetzer, A., Metzger, J., Katic, D., März, K., Wagner, M., Philipp, P., Engelhardt, S., Weller, T., Zelzer, S., Franz, A. M., Schoch, N., Heuveline, V., Maleshkova, M., Rettinger, A., Speidel, S., Wolf, I., Kenngott, H., Mehrabi, A., Müller-Stich, B. P., … Nolden, M. (2016). Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery. In J. Zhang & T. S. Cook (Eds.), SPIE Proceedings (Vol. 9789, p. 97890O). SPIE. https://doi.org/10.1117/12.2217163
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Created: 7th Sep 2019 at 07:53

Last updated: 5th Mar 2024 at 21:23

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