The following publications are possibly variants of this publication:
- Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challengeLiansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li 0001. mia, 72:102115, 2021. [doi]
- B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature EstimationHao Wang, Qiang Song, Ruofeng Yin, Rui Ma. AAAI 2024: 5381-5389 [doi]
- Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fieldsCheng Zhang, Jun Wang, Jian He, Peng Gao, Guotong Xie. ijon, 438:280-289, 2021. [doi]
- A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect datasetTianyu Liu, Yu Wang, Yukang Yang, Ming Sun, Wenhui Fan, Cody Bunger, Cheng Wu. artmed, 125:102235, 2022. [doi]
- A Multi-task Learning Method for Direct Estimation of Spinal CurvatureJiacheng Wang, Liansheng Wang, Changhua Liu. miccai 2020: 113-118 [doi]