Record link: 
http://hdl.handle.net/20.500.12708/58660
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Title: 
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis : 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
en
Citation: 
Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Turk, E. A., Van Leemput, K., Torrents-Barrena, J., Wells, W. M., & Macgowan, C. (Eds.). (2021). Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis : 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. In Lecture Notes in Computer Science (Vol. 12959). Springer. https://doi.org/10.1007/978-3-030-87735-4
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Publisher DOI: 
10.1007/978-3-030-87735-4
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Publication Type: 
Proceedings - Full Paper Book
en
Language: 
English
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Editors: 
Sudre, Carole H. 
Licandro, Roxane 
Baumgartner, Christian 
Melbourne, Andrew 
Dalca, Adrian 
Hutter, Jana 
Tanno, Ryutaro 
Turk, Esra Abaci 
Van Leemput, Koen 
Torrents-Barrena, Jordina 
Wells, William M. 
Macgowan, Christopher 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Series: 
Lecture Notes in Computer Science 
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ISBN: 
9783030877354
9783030877347
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Volume: 
12959
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Date (published): 
2021
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Number of Pages: 
306
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Publisher: 
Springer
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Science Branch: 
Informatik
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Appears in Collections:
Proceedings

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