Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics
- DOI
- 10.3390/diagnostics16050700
- Published
- 2026-02-27
- Container
- Diagnostics
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16050700,
title = {Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics},
author = {Florian van Daalen and Balu Krishna Sasidharan and C. Praveenraj and Amal Joseph Varghese and Andre Dekker and Leonard Wee and Rianne Fijten and Aparna Irodi and Hannah Mary T. Thomas},
year = {2026},
journal = {Diagnostics},
doi = {10.3390/diagnostics16050700},
url = {https://doi.org/10.3390/diagnostics16050700}
}RIS
TY - JOUR TI - Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics AU - Florian van Daalen AU - Balu Krishna Sasidharan AU - C. Praveenraj AU - Amal Joseph Varghese AU - Andre Dekker AU - Leonard Wee AU - Rianne Fijten AU - Aparna Irodi AU - Hannah Mary T. Thomas PY - 2026 JO - Diagnostics DO - 10.3390/diagnostics16050700 UR - https://doi.org/10.3390/diagnostics16050700 ER -
APA
Daalen, F. V., Sasidharan, B. K., Praveenraj, C., Varghese, A. J., Dekker, A., Wee, L., Fijten, R., Irodi, A., & Thomas, H. M. T. (2026). Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics. Diagnostics. https://doi.org/10.3390/diagnostics16050700
Source records
- crossref · retrieved 2026-09-26T08:28:08.499Z