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Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth

Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne. Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. In Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot, editors, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Volume 12443 of Lecture Notes in Computer Science, pages 164-173, Springer, 2020. [doi]

Authors

Hassna Irzan

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Lucas Fidon

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Tom Vercauteren

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Sébastien Ourselin

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Neil Marlow

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Andrew Melbourne

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