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. 2023 Jul 14;8(4):101222.
doi: 10.1016/j.adro.2023.101222. eCollection 2023 Jul-Aug.

In Regard to Reber et al

Laia Humbert-Vidan  1   2 , Vinod Patel  3 , Andrew P King  4 , Teresa Guerrero Urbano  5
Affiliations

In Regard to Reber et al

Laia Humbert-Vidan et al. Adv Radiat Oncol. .
No abstract available

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References

    1. Reber B, van Dijk L, Anderson B, et al. Comparison of machine learning and deep learning methods for the prediction of osteoradionecrosis resulting from head and neck cancer radiation therapy. Adv Radiat Oncol. 2022;8 - PMC - PubMed
    1. Humbert-Vidan L, Patel V, Andlauer R, King AP, Guerrero Urbano T. In: Applications of Medical Artificial Intelligence. Lecture Notes in Computer Science. Wu S, Shabestari B, Xing L, editors. Springer; Cham: 2022. Prediction of mandibular ORN incidence from 3D radiation dose distribution maps using deep learning. Vol. 13540.
    1. Humbert-Vidan L, Hansen CR, Fuller CD, et al. Protocol letter: A multi-institutional retrospective case-control cohort investigating PREDiction models for Mandibular OsteoRadioNecrosis in head and neck cancer (PREDMORN) Radiother Oncol. 2022;176:99–100. - PMC - PubMed

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