Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis
- DOI
- 10.1145/3748522.3779983
- Published
- 2026-03-23
- Container
- Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing
- Publisher
- ACM
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1145/3748522.3779983,
title = {Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis},
author = {Eric Ababio Anyimadu and Xinhua Zhang and Clifton David Fuller and G. Elisabeta Marai and Guadalupe Canahuate},
year = {2026},
journal = {Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing},
doi = {10.1145/3748522.3779983},
url = {https://doi.org/10.1145/3748522.3779983}
}RIS
TY - JOUR TI - Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis AU - Eric Ababio Anyimadu AU - Xinhua Zhang AU - Clifton David Fuller AU - G. Elisabeta Marai AU - Guadalupe Canahuate PY - 2026 JO - Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing DO - 10.1145/3748522.3779983 UR - https://doi.org/10.1145/3748522.3779983 ER -
APA
Anyimadu, E. A., Zhang, X., Fuller, C. D., Marai, G. E., & Canahuate, G. (2026). Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis. Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing. https://doi.org/10.1145/3748522.3779983
Source records
- crossref · retrieved 2026-09-25T12:56:53.323Z