Sukesh Adiga Vasudeva, José Dolz and Hervé Lombaert
Paper (2022)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this itemISBN: | 9783031164521 |
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PolyPublie URL: | https://publications.polymtl.ca/57367/ |
Conference Title: | 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022) |
Conference Location: | Singapore |
Conference Date(s): | 2022-09-18 - 2022-09-22 |
Editors: | Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel and Shuo Li |
Publisher: | Springer Nature Switzerland |
DOI: | 10.1007/978-3-031-16452-1_26 |
Official URL: | https://doi.org/10.1007/978-3-031-16452-1_26 |
Date Deposited: | 28 Feb 2024 14:05 |
Last Modified: | 08 Apr 2025 14:40 |
Cite in APA 7: | Adiga Vasudeva, S., Dolz, J., & Lombaert, H. (2022, September). Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation [Paper]. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. https://doi.org/10.1007/978-3-031-16452-1_26 |
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