William Trung Le, Eugene Vorontsov, Francisco Perdigón Romero, Lotfi Seddik, Mohamed Mortada Elsharief, Phuc Félix Nguyen-Tân, David Roberge, Houda Bahig and Samuel Kadoury
Article (2022)
An external link is available for this item| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/50423/ |
| Journal Title: | Scientific Reports (vol. 12, no. 1) |
| Publisher: | Nature Publishing Group |
| DOI: | 10.1038/s41598-022-07034-5 |
| Official URL: | https://doi.org/10.1038/s41598-022-07034-5 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 08 Apr 2025 12:46 |
| Cite in APA 7: | Le, W. T., Vorontsov, E., Romero, F. P., Seddik, L., Elsharief, M. M., Nguyen-Tân, P. F., Roberge, D., Bahig, H., & Kadoury, S. (2022). Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks. Scientific Reports, 12(1), 17 pages. https://doi.org/10.1038/s41598-022-07034-5 |
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