Record link: 
http://hdl.handle.net/20.500.12708/144627
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Title: 
Why rankings of biomedical image analysis competitions should be interpreted with care
en
Citation: 
Maier-Hein, L., Eisenmann, M., Reinke, A., Onogur, S., Stankovic, M., Scholz, P., Arbel, T., Bogunovic, H., Carass, A., Feldmann, C., F. Frangi, A., Full, P. M., van Ginneken, B., Hanbury, A., Honauer, K., Kozubek, M., Landman, B. A., März, K., & Kopp-Schneider, A. (2018). Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications, 9(5217). https://doi.org/10.1038/s41467-018-07619-7
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Publisher DOI: 
10.1038/s41467-018-07619-7
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Publication Type: 
Artikel - Original Research Article
de
 
Article - Original Research Article
en
Language: 
English
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Authors: 
Maier-Hein, Lena 
Eisenmann, Matthias 
Reinke, Annika 
Onogur, Sinan 
Stankovic, Marko 
Scholz, Patrick 
Arbel, Tal 
Bogunovic, Hrvoje 
Carass, Aaron 
Feldmann, Carolin 
F. Frangi, Alejandro 
Full, Peter M. 
van Ginneken, Bram 
Hanbury, Allan 
Honauer, Katrin 
Kozubek, Michal 
Landman, Bennett A. 
März, Keno 
Kopp-Schneider, Annette 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
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Journal: 
Nature Communications 
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ISSN: 
2041-1723
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Date (published): 
2018
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Peer reviewed: 
Yes
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Keywords: 
General Physics and Astronomy; General Chemistry; Multidisciplinary; General Biochemistry, Genetics and Molecular Biology
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Research Areas: 
Information Systems Engineering: 50%
Visual Computing and Human-Centered Technology: 50%
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Science Branch: 
Informatik
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