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]
@inproceedings{KhanzhinaKF21,
title = {Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation},
author = {Natalia Khanzhina and Maxim Kashirin and Andrey Filchenkov},
year = {2021},
doi = {10.1007/978-3-030-87735-4_7},
url = {https://doi.org/10.1007/978-3-030-87735-4_7},
researchr = {https://researchr.org/publication/KhanzhinaKF21},
cites = {0},
citedby = {0},
pages = {64-74},
booktitle = {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},
editor = {Carole H. Sudre and Roxane Licandro and Christian F. Baumgartner and Andrew Melbourne and Adrian V. Dalca and Jana Hutter and Ryutaro Tanno and Esra Abaci Turk and Koen Van Leemput and Jordina Torrents-Barrena and William M. Wells III and Christopher K. Macgowan},
volume = {12959},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87735-4},
}