295 related articles for article (PubMed ID: 30717658)
1. Automated craniofacial landmarks detection on 3D image using geometry characteristics information.
Abu A; Ngo CG; Abu-Hassan NIA; Othman SA
BMC Bioinformatics; 2019 Feb; 19(Suppl 13):548. PubMed ID: 30717658
[TBL] [Abstract][Full Text] [Related]
2. Photo anthropometric variations in Japanese facial features: Establishment of large-sample standard reference data for personal identification using a three-dimensional capture system.
Ogawa Y; Wada B; Taniguchi K; Miyasaka S; Imaizumi K
Forensic Sci Int; 2015 Dec; 257():511.e1-511.e9. PubMed ID: 26341158
[TBL] [Abstract][Full Text] [Related]
3. Reproducibility of facial soft tissue landmarks on 3D laser-scanned facial images.
Toma AM; Zhurov A; Playle R; Ong E; Richmond S
Orthod Craniofac Res; 2009 Feb; 12(1):33-42. PubMed ID: 19154273
[TBL] [Abstract][Full Text] [Related]
4. Accuracy of an automated method of 3D soft tissue landmark detection.
Baksi S; Freezer S; Matsumoto T; Dreyer C
Eur J Orthod; 2021 Dec; 43(6):622-630. PubMed ID: 33377968
[TBL] [Abstract][Full Text] [Related]
5. Reproducibility of facial soft tissue landmarks on facial images captured on a 3D camera.
Othman SA; Ahmad R; Mericant AF; Jamaludin M
Aust Orthod J; 2013 May; 29(1):58-65. PubMed ID: 23785939
[TBL] [Abstract][Full Text] [Related]
6. Lip Anthropometry of Healthy Turkish Young Adults.
Bahşi I; Orhan M; Kervancioğlu P; Uçar H; Karatepe Ş; Sayin S
J Craniofac Surg; 2022 Mar-Apr 01; 33(2):696-700. PubMed ID: 34310423
[TBL] [Abstract][Full Text] [Related]
7. High-Fidelity Anthropometric Facial Measurements Can Be Obtained From a Single Stereophotograph From the Vectra H1 3-Dimensional Camera.
Jodeh DS; Rottgers SA
Cleft Palate Craniofac J; 2019 Oct; 56(9):1164-1170. PubMed ID: 30955356
[TBL] [Abstract][Full Text] [Related]
8. Improved detection of landmarks on 3D human face data.
Liang S; Wu J; Weinberg SM; Shapiro LG
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6482-5. PubMed ID: 24111226
[TBL] [Abstract][Full Text] [Related]
9. Reliability of a face scanner in measuring the vertical dimension of occlusion.
Srinivasan M; Berisha F; Bronzino I; Kamnoedboon P; Leles CR
J Dent; 2024 Jul; 146():105016. PubMed ID: 38679136
[TBL] [Abstract][Full Text] [Related]
10. A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.
Gupta A; Kharbanda OP; Sardana V; Balachandran R; Sardana HK
Int J Comput Assist Radiol Surg; 2015 Nov; 10(11):1737-52. PubMed ID: 25847662
[TBL] [Abstract][Full Text] [Related]
11. A comparison study of different facial soft tissue analysis methods.
Kook MS; Jung S; Park HJ; Oh HK; Ryu SY; Cho JH; Lee JS; Yoon SJ; Kim MS; Shin HK
J Craniomaxillofac Surg; 2014 Jul; 42(5):648-56. PubMed ID: 24954528
[TBL] [Abstract][Full Text] [Related]
12. A novel approach to craniofacial analysis using automated 3D landmarking of the skull.
Wilke F; Matthews H; Herrick N; Dopkins N; Claes P; Walsh S
Sci Rep; 2024 May; 14(1):12381. PubMed ID: 38811771
[TBL] [Abstract][Full Text] [Related]
13. A new method for automatic tracking of facial landmarks in 3D motion captured images (4D).
Al-Anezi T; Khambay B; Peng MJ; O'Leary E; Ju X; Ayoub A
Int J Oral Maxillofac Surg; 2013 Jan; 42(1):9-18. PubMed ID: 23218511
[TBL] [Abstract][Full Text] [Related]
14. Comparing Methods to Assess Intraobserver Measurement Error of 3D Craniofacial Landmarks Using Geometric Morphometrics Through a Digitizer Arm.
Menéndez LP
J Forensic Sci; 2017 May; 62(3):741-746. PubMed ID: 27874192
[TBL] [Abstract][Full Text] [Related]
15. The effect of automated landmark identification on morphometric analyses.
Percival CJ; Devine J; Darwin BC; Liu W; van Eede M; Henkelman RM; Hallgrimsson B
J Anat; 2019 Jun; 234(6):917-935. PubMed ID: 30901082
[TBL] [Abstract][Full Text] [Related]
16. Accuracy and precision of a 3D anthropometric facial analysis with and without landmark labeling before image acquisition.
Aynechi N; Larson BE; Leon-Salazar V; Beiraghi S
Angle Orthod; 2011 Mar; 81(2):245-52. PubMed ID: 21208076
[TBL] [Abstract][Full Text] [Related]
17. Validity and reproducibility of the 3D VECTRA photogrammetric surface imaging system for the maxillofacial anthropometric measurement on cleft patients.
Othman SA; Saffai L; Wan Hassan WN
Clin Oral Investig; 2020 Aug; 24(8):2853-2866. PubMed ID: 31754872
[TBL] [Abstract][Full Text] [Related]
18. Can smartphones be used for routine dental clinical application? A validation study for using smartphone-generated 3D facial images.
Singh P; Hsung RT; Ajmera DH; Leung YY; McGrath C; Gu M
J Dent; 2023 Dec; 139():104775. PubMed ID: 37944629
[TBL] [Abstract][Full Text] [Related]
19. Open-Source Tools for Dense Facial Tissue Depth Mapping of Computed Tomography Models.
Simmons-Ehrhardt T; Falsetti C; Falsetti AB; Ehrhardt CJ
Hum Biol; 2018 Jan; 90(1):63-76. PubMed ID: 30387384
[TBL] [Abstract][Full Text] [Related]
20. Challenges in measuring angles between craniofacial structures.
Yatabe M; Gomes L; Ruellas AC; Lopinto J; Macron L; Paniagua B; Budin F; Prieto JC; Ioshida M; Cevidanes L
J Appl Oral Sci; 2019 Jun; 27():e20180380. PubMed ID: 31166412
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]