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Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation

Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov. Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation. In Carole H. Sudre, Roxane Licandro, Christian F. Baumgartner, Andrew Melbourne, Adrian V. Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents-Barrena, William M. Wells III, Christopher K. Macgowan, editors, 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. Volume 12959 of Lecture Notes in Computer Science, pages 64-74, Springer, 2021. [doi]

Authors

Natalia Khanzhina

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Maxim Kashirin

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Andrey Filchenkov

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