Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation
- DOI
- 10.48550/arxiv.2609.29931
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2609.29931,
title = {Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation},
author = {Le, Nathan and Paschali, Magdalini and Koirala, Arogya and Johnston, Andrew and Fang, Zhongnan and Larson, David B. and Chaudhari, Akshay S. and Gonzalez, Camila},
year = {2026},
doi = {10.48550/arxiv.2609.29931},
url = {https://doi.org/10.48550/arxiv.2609.29931}
}RIS
TY - JOUR TI - Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation AU - Le, Nathan AU - Paschali, Magdalini AU - Koirala, Arogya AU - Johnston, Andrew AU - Fang, Zhongnan AU - Larson, David B. AU - Chaudhari, Akshay S. AU - Gonzalez, Camila PY - 2026 DO - 10.48550/arxiv.2609.29931 UR - https://doi.org/10.48550/arxiv.2609.29931 ER -
APA
Nathan, L., Magdalini, P., Arogya, K., Andrew, J., Zhongnan, F., B., L. D., S., C. A., & Camila, G. (2026). Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation. https://doi.org/10.48550/arxiv.2609.29931
Source records
- datacite · retrieved 2026-09-26T10:38:51.430Z