APA (7th ed.) Citation

H, S., A, K., Y, H., A, H., O, E. M., A, B., . . . O, E. R. (2026). 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), 102200. https://doi.org/10.1016/j.jmir.2026.102200

Chicago Style (17th ed.) Citation

H, Sekkat, Khallouqi A, Hammouga Y, Halimi A, El Mouden O, Bannan A, Berrada Y, and El Rhazouani O. "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, no. 3 (2026): 102200. https://doi.org/10.1016/j.jmir.2026.102200.

MLA (9th ed.) Citation

H, Sekkat, et al. "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, vol. 57, no. 3, 2026, p. 102200, https://doi.org/10.1016/j.jmir.2026.102200.