Zeinab Abboud, Hervé Lombaert
and Samuel Kadoury
Paper (2024)
An external link is available for this item
| Department: | Department of Computer Engineering and Software Engineering |
|---|---|
| ISBN: | 9783031721175 |
| PolyPublie URL: | https://publications.polymtl.ca/60247/ |
| Conference Title: | 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024) |
| Conference Location: | Marrakesh, Morocco |
| Conference Date(s): | 2024-10-06 - 2024-10-10 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-031-72117-5_63 |
| Official URL: | https://doi.org/10.1007/978-3-031-72117-5_63 |
| Date Deposited: | 25 Nov 2024 15:14 |
| Last Modified: | 25 Nov 2024 15:14 |
| Cite in APA 7: | Abboud, Z., Lombaert, H., & Kadoury, S. (2024, October). Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis [Paper]. 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024), Marrakesh, Morocco. https://doi.org/10.1007/978-3-031-72117-5_63 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
