Surgical data science for next-generation interventions

Maier-Hein L, Vedula SS, Speidel S, Navab N, Kikinis R, Park A, Eisenmann M, Feussner H, Forestier G, Giannarou S, Hashizume M, Katic D, Kenngott H, Kranzfelder M, Malpani A, Maerz K, Neumuth T, Padoy N, Pugh C, Schoch N, Stoyanov D, Taylor R, Wagner M, Hager GD, Jannin P (2017)

Publication Type: Journal article

Publication year: 2017

Journal

Book Volume: 1

Pages Range: 691-696

Journal Issue: 9

DOI: 10.1038/s41551-017-0132-7

Involved external institutions

Deutsches Krebsforschungszentrum (DKFZ) Germany (DE) Johns Hopkins University (JHU) United States (USA) (US) Technische Universität München (TUM) Germany (DE) Harvard University United States (USA) (US) Université de Haute-Alsace (UHA) France (FR) Kyushu University / 九州大学 Japan (JP) Karlsruhe Institute of Technology (KIT) Germany (DE) Universitätsklinikum Heidelberg Germany (DE) Universität Leipzig Germany (DE) Université de Strasbourg (UDS) France (FR) University of Wisconsin - Madison United States (USA) (US) Ruprecht-Karls-Universität Heidelberg Germany (DE) University College London (UCL) United Kingdom (GB) Université de Rennes 1 / University of Rennes 1 France (FR) Anne Arundel Medical Center (AAMC) United States (USA) (US) Imperial College London / The Imperial College of Science, Technology and Medicine United Kingdom (GB)

How to cite

APA:

Maier-Hein, L., Vedula, S.S., Speidel, S., Navab, N., Kikinis, R., Park, A.,... Jannin, P. (2017). Surgical data science for next-generation interventions. Nature Biomedical Engineering, 1(9), 691-696. https://doi.org/10.1038/s41551-017-0132-7

MLA:

Maier-Hein, Lena, et al. "Surgical data science for next-generation interventions." Nature Biomedical Engineering 1.9 (2017): 691-696.

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