Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity
Radiation Oncology Journal. 2019;37(2):134-142 
1554 poster EVALUATION OF A COMMERCIAL AUTO-SEGMENTATION TOOL IN THE OUTLINING OF LYMPH NODES & ORGANS AT RISK IN HEAD AND NECK CANCER
Radiotherapy and Oncology. 2011;99:S578
Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods
Medical Physics. 2020;47(9):
PD-0868 Comparison of segmentation algorithms for organs at risk delineation on head-and-neck CT images
Radiotherapy and Oncology. 2021;161:S704-S705
PH-0604: The impact of training sample size on deep learning based organ auto segmentation for head neck
Radiotherapy and Oncology. 2020;152:S341
Development of a Deep Learning-Based Auto-Segmentation of Organs at Risk for Head and Neck Radiotherapy Planning
International Journal of Radiation Oncology*Biology*Physics. 2022;112(5):e8
PD-0416: Robust feature auto-segmentation of head and neck cancer
Radiotherapy and Oncology. 2013;106:S160
Systematic Study of Patient-Specific Organs at Risk Auto-Segmentation on Daily kVCT Images for Adaptive Head and Neck Radiotherapy
International Journal of Radiation Oncology*Biology*Physics. 2022;114(3):e590
Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help?
Radiotherapy and Oncology. 2015;115(3):285-294
PD-0313 A comparison of multiple deep learning-based auto-segmentation systems for head and neck cancer
Radiotherapy and Oncology. 2022;170:S274-S275