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[Advances in algorithms for three-dimensional craniomaxillofacial features construction based on point clouds].
Zhao YJ, Gao L, Wang Y. Zhao YJ, et al. Zhonghua Kou Qiang Yi Xue Za Zhi. 2023 Jun 9;58(6):519-526. doi: 10.3760/cma.j.cn112144-20230218-00049. Zhonghua Kou Qiang Yi Xue Za Zhi. 2023. PMID: 37271994 Chinese.
In light of the increasing digitalization of dentistry, the automatic determination of three-dimensional (3D) craniomaxillofacial features has become a development trend. 3D craniomaxillofacial landmarks and symmetry reference plane determination algorithm based on point clouds h …
In light of the increasing digitalization of dentistry, the automatic determination of three-dimensional (3D) craniomaxillofacial features h …
[A preliminary investigation of the key parameters of average value articulator based on mandibular movement trajectories in 100 adults with individual normal occlusion].
Shan SY, Zhu YJ, Wang JJ, Wen AN, Gao ZX, Qin QZ, Li WB, Wang Y, Zhao YJ. Shan SY, et al. Zhonghua Kou Qiang Yi Xue Za Zhi. 2024 Nov 21;59(12):1229-1234. doi: 10.3760/cma.j.cn112144-20240708-00262. Online ahead of print. Zhonghua Kou Qiang Yi Xue Za Zhi. 2024. PMID: 39606981 Chinese.
Objective: To explore the method of obtaining the key parameters of the average value articulator in healthy people based on mandibular movement trajectory data, with a view to providing a reference for the clinical application of the average value articulator. ...Conclusi …
Objective: To explore the method of obtaining the key parameters of the average value articulator in healthy people based on mandibul …
[Deep learning-assisted construction of three-dimensional face midsagittal plane based on point clouds].
Zhu YJ, Liu ZG, Wen AN, Gao ZX, Qin QZ, Fu XL, Wang Y, Chen JP, Zhao YJ. Zhu YJ, et al. Zhonghua Kou Qiang Yi Xue Za Zhi. 2023 Oct 26;58(11):1179-1184. doi: 10.3760/cma.j.cn112144-20230825-00110. Online ahead of print. Zhonghua Kou Qiang Yi Xue Za Zhi. 2023. PMID: 37885192 Chinese.
The DGRNet consists of constructing the feature vectors of key points in point original and mirror point clouds (X, Y), obtaining the correspondence of key points, and calculating the rotation and translation by singular value decomposition. ...The model was evaluat …
The DGRNet consists of constructing the feature vectors of key points in point original and mirror point clouds (X, Y), obtaining the …