[1] |
Leung MY,Leung YY.Three - dimensional evaluation of mandibular asymmetry: A new classification and three -dimensional cephalometric analysis[J].Int J Oral Maxillofac Surg,2018,47(8):1043-1051.DOI:10.1016/j.ijom.2018.03.021.
|
[2] |
Oh J,Han JJ,Ryu SY,et al.Clinical and cephalometric analysis of facial soft tissue[J].J Craniofac Surg,2017,28(5):e431-e438.DOI:10.1097/scs.0000000000003614.
|
[3] |
Santos RMG,de Martino JM,Haiter Neto F,et al.Cone beam computed tomography-based cephalometric norms for Brazilian adults[J].Int J Oral Maxillofac Surg,2018,47(1):64-71.DOI:10.1016/j.ijom.2017.06.030.
|
[4] |
Liu K,Yingwang J,Zhang L,et al.A rare complication following anesthesia:Arytenoid dislocation during orthognathic surgery[J].J Oral Maxillofac Surg,2019,77(5):959-964.DOI:10.1016/j.joms.2018.11.029.
|
[5] |
Ham YG,Kim JH,Luo JJ.Deep learning for multi-year ENSO forecasts[J].Nature,2019,573(7775):568-572.DOI:10.1038/s41586-019-1559-7.
|
[6] |
Junaid N,Khan N,Ahmed N,et al.Development,application,and performance of artificial intelligence in cephalometric landmark identification and diagnosis:A systematic review[J].Healthcare(Basel),2022,10(12):2454.DOI:10.3390/healthcare10122454.
|
[7] |
Montúfar J,Romero M,Scougall-Vilchis RJ.Hybrid approach for automatic cephalometric landmark annotation on cone-beam computed tomography volumes[J].Am J Orthod Dentofacial Orthop,2018,154(1):140-150.DOI:10.1016/j.ajodo.2017.08.028.
|
[8] |
Jie B,Yao B,An J,et al.Correlation between soft and hard tissue changes in the zygomaticomaxillary region after bone contouring surgery for fibrous dysplasia:A preliminary study[J].J Oral Maxillofac Surg,2019,77(9):1904.e1-1904.e11.DOI:10.1016/j.joms.2019.05.002.
|
[9] |
Jeon S,Lee KC.Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network[J].Prog Orthod,2021,22(1):14.DOI:10.1186/s40510-021-00358-4.
|
[10] |
Kang SH,Jeon K,Kang SH,et al.3D cephalometric landmark detection by multiple stage deep reinforcement learning[J].Sci Rep,2021,11(1):17509.DOI:10.1038/s41598-021-97116-7.
|
[11] |
Sam A,Currie K,Oh H,et al.Reliability of different threedimensional cephalometric landmarks in cone-beam computed tomography:A systematic review[J].Angle Orthod,2019,89(2):317-332.DOI:10.2319/042018-302.1.
|
[12] |
Jiang X,Pei J,Liu J,et al.An MRI-only three-dimensional cephalometry protocol based on the integrated and modular architecture of the human head[J].Curr Med Imaging,2023.DOI:10.2174/0115734056258953231026094236.
|
[13] |
Elshebiny T,Morcos S,Mohammad A,et al.Accuracy of threedimensional soft tissue prediction in orthognathic cases using dolphin three-dimensional software[J].J Craniofac Surg,2019,30(2):525-528.DOI:10.1097/scs.0000000000005037.
|
[14] |
Jodeh DS,Kuykendall LV,Ford JM,et al.Adding depth to cephalometric analysis:Comparing two- and three-dimensional angular cephalometric measurements [J].J Craniofac Surg,2019,30(5):1568-1571.DOI:10.1097/scs.0000000000005555.
|
[15] |
Oh K,Oh IS,Le VNT,et al.Deep anatomical context feature learning for cephalometric landmark detection [J].IEEE J Biomed Health Inform,2021,25(3):806-817.DOI:10.1109/jbhi.2020.3002582.
|
[16] |
Franke A,Sequenc AF,Sembdner P,et al.Three-dimensional measurements of symmetry for the mandibular ramus[J].Ann Anat,2024,253:152229.DOI:10.1016/j.aanat.2024.152229.
|
[17] |
Lecun Y,Bottou L,Bengio Y,et al.Gradient-based learning applied to document recognition[J].Proceedings of the IEEE,1998,86(11):2278-22324.DOI:10.1109/5.726791.
|
[18] |
Krizhevsky A,Sutskever I,Hinton GE.ImageNet classification with deep convolutional neural networks[J].Commun ACM,2017,60(6):84-90.DOI:10.1145/3065386.
|
[19] |
Simonyan K,Zisserman A.Very deep convolutional networks for large-scale image recognition[J].Computer Science,2014.DOI:10.48550/arXiv.1409.1556.
|
[20] |
Szegedy C,Liu W,Jia Y,et al.Going deeper with convolutions[C/OL]//2015 IEEE Conference on Computer Vision and Pattern Recognition(CVPR),Boston,2015:1-9.DOI:10.1109/CVPR.2015.7298594.
|
[21] |
He K,Zhang X,Ren S,et al.Deep residual learning for image recognition[C/OL]//2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR),Las Vegas,2016:770-778.DOI:10.1109/CVPR.2016.90.
|
[22] |
Kunz F,Stellzig - Eisenhauer A,Zeman F,et al.Artificial intelligence in orthodontics:Evaluation of a fully automated cephalometric analysis using a customized convolutional neural network[J].J Orofac Orthop,2020,81(1):52-68.DOI:10.1007/s00056-019-00203-8.
|
[23] |
Kim MJ,Liu Y,Oh SH,et al.Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomographysynthesized posteroanterior cephalometric images[J].Korean J Orthod,2021,51(2):77-85.DOI:10.4041/kjod.2021.51.2.77.
|
[24] |
Zhang J,Liu M,Wang L,et al.Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization[J].Med Image Anal,2020,60:101621.DOI:10.1016/j.media.2019.101621.
|
[25] |
Gil SM,Kim I,Cho JH,et al.Accuracy of auto-identification of the posteroanterior cephalometric landmarks using cascade convolution neural network algorithm and cephalometric images of different quality from nationwide multiple centers[J].Am J Orthod Dentofacial Orthop,2022,161(4):e361-e371.DOI:10.1016/j.ajodo.2021.11.011.
|
[26] |
Lang Y,Lian C,Xiao D,et al.Localization of craniomaxillofacial landmarks on CBCT images using 3D Mask R-CNN and local dependency learning[J].IEEE Trans Med Imaging,2022,41(10):2856-2866.DOI:10.1109/tmi.2022.3174513.
|
[27] |
张紫涵,熊鑫,王军.三维头影测量的研究现状和应用发展[J].国际口腔医学杂志,2020,47(6):739-744.DOI:10.7518/gjkq.2020092.
|
[28] |
Lee JH,Yu HJ,Kim MJ,et al.Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks[J].BMC Oral Health,2020,20(1):270.DOI:10.1186/s12903-020-01256-7.
|
[29] |
Zeng M,Yan Z,Liu S,et al.Cascaded convolutional networks for automatic cephalometric landmark detection[J].Med Image Anal,2021,68:101904.DOI:10.1016/j.media.2020.101904.
|
[30] |
Weingart JV,Schlager S,Metzger MC,et al.Automated detection of cephalometric landmarks using deep neural patchworks[J].Dentomaxillofac Radiol,2023,52(6):20230059.DOI:10.1259/dmfr.20230059.
|