These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
181 related articles for article (PubMed ID: 9484208)
21. A new methodology for automatic detection of reference points in 3D cephalometry: A pilot study. Ed-Dhahraouy M; Riri H; Ezzahmouly M; Bourzgui F; El Moutaoukkil A Int Orthod; 2018 Jun; 16(2):328-337. PubMed ID: 29628421 [TBL] [Abstract][Full Text] [Related]
22. Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet. Nishimoto S; Sotsuka Y; Kawai K; Ishise H; Kakibuchi M J Craniofac Surg; 2019 Jan; 30(1):91-95. PubMed ID: 30439733 [TBL] [Abstract][Full Text] [Related]
23. Effects of image enhancement on reliability of landmark identification in digital cephalometry. Oshagh M; Shahidi SH; Danaei SH Indian J Dent Res; 2013; 24(1):98-103. PubMed ID: 23852241 [TBL] [Abstract][Full Text] [Related]
24. Automatic landmarking of cephalograms using active appearance models. Vucinić P; Trpovski Z; Sćepan I Eur J Orthod; 2010 Jun; 32(3):233-41. PubMed ID: 20203126 [TBL] [Abstract][Full Text] [Related]
25. Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence. Bao H; Zhang K; Yu C; Li H; Cao D; Shu H; Liu L; Yan B BMC Oral Health; 2023 Apr; 23(1):191. PubMed ID: 37005593 [TBL] [Abstract][Full Text] [Related]
26. Reliability of computer-generated cephalometrics. Nimkarn Y; Miles PG Int J Adult Orthodon Orthognath Surg; 1995; 10(1):43-52. PubMed ID: 9081992 [TBL] [Abstract][Full Text] [Related]
27. Computer-aided cephalometric landmark annotation for CBCT data. Codari M; Caffini M; Tartaglia GM; Sforza C; Baselli G Int J Comput Assist Radiol Surg; 2017 Jan; 12(1):113-121. PubMed ID: 27358080 [TBL] [Abstract][Full Text] [Related]
28. Automated identification of cephalometric landmarks: Park JH; Hwang HW; Moon JH; Yu Y; Kim H; Her SB; Srinivasan G; Aljanabi MNA; Donatelli RE; Lee SJ Angle Orthod; 2019 Nov; 89(6):903-909. PubMed ID: 31282738 [TBL] [Abstract][Full Text] [Related]
29. Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting. Wang S; Li H; Li J; Zhang Y; Zou B J Healthc Eng; 2018; 2018():1797502. PubMed ID: 30581546 [TBL] [Abstract][Full Text] [Related]
30. 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. Gil SM; Kim I; Cho JH; Hong M; Kim M; Kim SJ; Kim YJ; Kim YH; Lim SH; Sung SJ; Baek SH; Kim N; Kang KH Am J Orthod Dentofacial Orthop; 2022 Apr; 161(4):e361-e371. PubMed ID: 35074216 [TBL] [Abstract][Full Text] [Related]
31. The effects of differences in landmark identification on the cephalometric measurements in traditional versus digitized cephalometry. Chen YJ; Chen SK; Yao JC; Chang HF Angle Orthod; 2004 Apr; 74(2):155-61. PubMed ID: 15132440 [TBL] [Abstract][Full Text] [Related]
32. Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms. Lindner C; Wang CW; Huang CT; Li CH; Chang SW; Cootes TF Sci Rep; 2016 Sep; 6():33581. PubMed ID: 27645567 [TBL] [Abstract][Full Text] [Related]
33. Reproducibility of cephalometric landmarks on conventional film, hardcopy, and monitor-displayed images obtained by the storage phosphor technique. Geelen W; Wenzel A; Gotfredsen E; Kruger M; Hansson LG Eur J Orthod; 1998 Jun; 20(3):331-40. PubMed ID: 9699411 [TBL] [Abstract][Full Text] [Related]
34. Automated identification of cephalometric landmarks: Hwang HW; Park JH; Moon JH; Yu Y; Kim H; Her SB; Srinivasan G; Aljanabi MNA; Donatelli RE; Lee SJ Angle Orthod; 2020 Jan; 90(1):69-76. PubMed ID: 31335162 [TBL] [Abstract][Full Text] [Related]
35. Reliability of landmark identification in cephalometric radiography acquired by a storage phosphor imaging system. Chen YJ; Chen SK; Huang HW; Yao CC; Chang HF Dentomaxillofac Radiol; 2004 Sep; 33(5):301-6. PubMed ID: 15585806 [TBL] [Abstract][Full Text] [Related]
36. Automated detection of cephalometric landmarks using deep neural patchworks. Weingart JV; Schlager S; Metzger MC; Brandenburg LS; Hein A; Schmelzeisen R; Bamberg F; Kim S; Kellner E; Reisert M; Russe MF Dentomaxillofac Radiol; 2023 Sep; 52(6):20230059. PubMed ID: 37427585 [TBL] [Abstract][Full Text] [Related]
37. Automatic analysis of lateral cephalograms based on high-resolution net. Chang Q; Wang Z; Wang F; Dou J; Zhang Y; Bai Y Am J Orthod Dentofacial Orthop; 2023 Apr; 163(4):501-508.e4. PubMed ID: 36528536 [TBL] [Abstract][Full Text] [Related]
38. Accuracy and reliability of automatic three-dimensional cephalometric landmarking. Dot G; Rafflenbeul F; Arbotto M; Gajny L; Rouch P; Schouman T Int J Oral Maxillofac Surg; 2020 Oct; 49(10):1367-1378. PubMed ID: 32169306 [TBL] [Abstract][Full Text] [Related]
40. The development of a new method of cephalometric and study cast mensuration with a computer controlled, video image capture system: Part I. Lowey MN Br J Orthod; 1993 Aug; 20(3):203-14. PubMed ID: 8399053 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]