Corrigendum to 'Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy' [Journal of Medical Imaging and Radiation Sciences 57/3 (2026) 102200].
- DOI
- 10.1016/j.jmir.2026.102589
- Published
- 2026 Sep 7
- Container
- Journal of medical imaging and radiation sciences
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmir.2026.102589,
title = {Corrigendum to 'Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy' [Journal of Medical Imaging and Radiation Sciences 57/3 (2026) 102200].},
author = {Sekkat H and Khallouqi A and Hammougua O and Halimi A and El Mouden O and Bannan A and Berrada Y and El Rhazouani O},
year = {2026},
journal = {Journal of medical imaging and radiation sciences},
doi = {10.1016/j.jmir.2026.102589},
url = {https://doi.org/10.1016/j.jmir.2026.102589}
}RIS
TY - JOUR TI - Corrigendum to 'Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy' [Journal of Medical Imaging and Radiation Sciences 57/3 (2026) 102200]. AU - Sekkat H AU - Khallouqi A AU - Hammougua O AU - Halimi A AU - El Mouden O AU - Bannan A AU - Berrada Y AU - El Rhazouani O PY - 2026 JO - Journal of medical imaging and radiation sciences DO - 10.1016/j.jmir.2026.102589 UR - https://doi.org/10.1016/j.jmir.2026.102589 ER -
APA
H, S., A, K., O, H., A, H., O, E. M., A, B., Y, B., & O, E. R. (2026). Corrigendum to 'Explainability-informed benchmarking of two deep learning models for organ-at-risk segmentation in MR-guided adaptive radiotherapy' [Journal of Medical Imaging and Radiation Sciences 57/3 (2026) 102200].. Journal of medical imaging and radiation sciences. https://doi.org/10.1016/j.jmir.2026.102589
Source records
- pubmed · retrieved 2026-09-26T07:27:44.103Z