The following publications are possibly variants of this publication:
- Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CTXianjin Dai, Yang Lei 0002, Tonghe Wang, Jun Zhou, Walter J. Curran, Tian Liu 0004, Xiaofeng Yang 0005. miigp 2021: [doi]
- Automatic 3D Registration of CT-MR Head and Neck Images With Surface MatchingQin Chu, Yinwei Zhan, Fanqing Guo, Mengchun Song, Rongqian Yang. access, 7:78274-78280, 2019. [doi]
- Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy PlanningZhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen. TIP, 27(2):923-937, 2018. [doi]
- 3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck CancerBin Huang, Yufeng Ye, Ziyue Xu, Zongyou Cai, Yan He, Zhangnan Zhong, LingXiang Liu, Xin Chen 0025, Hanwei Chen, Bingsheng Huang. tmi, 41(4):951-964, 2022. [doi]
- Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT StudiesJianhua Wang, Jianrong Dai, Yongjie Jing, Yanan Huo, Tianye Niu. cmmm, 2015, 2015. [doi]