Article List

WPRIM Management System> DCMS> The Korean Journal of Orthodontics> 2021> 51> 2

Volume: 51 Issue: 2

1. Micro-computed tomography evaluation of general trends in aligner thickness and gap width after thermoforming procedures involving six commercial clear aligners: An in vitro study	Page:135—141
2. Differences in mandibular condyle and glenoid fossa morphology in relation to vertical and sagittal skeletal patterns: A cone-beam computed tomography study	Page:126—134
3. Reasons influencing the preferences of prospective patients and orthodontists for different orthodontic appliances	Page:115—125
4. Relationship between rotational disc displacement of the temporomandibular joint and the dentoskeletal morphology	Page:105—114
5. Full-arch accuracy of five intraoral scanners:In vivo analysis of trueness and precision	Page:95—104
6. Effect of micro-osteoperforations on external apical root resorption: A randomized controlled trial	Page:86—94
7. Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomographysynthesized posteroanterior cephalometric images	Page:77—85
8. Micro-computed tomography evaluation of general trends in aligner thickness and gap width after thermoforming procedures involving six commercial clear aligners: An in vitro study	Page:135—141
9. Differences in mandibular condyle and glenoid fossa morphology in relation to vertical and sagittal skeletal patterns: A cone-beam computed tomography study	Page:126—134
10. Reasons influencing the preferences of prospective patients and orthodontists for different orthodontic appliances	Page:115—125
11. Relationship between rotational disc displacement of the temporomandibular joint and the dentoskeletal morphology	Page:105—114
12. Full-arch accuracy of five intraoral scanners:In vivo analysis of trueness and precision	Page:95—104
13. Effect of micro-osteoperforations on external apical root resorption: A randomized controlled trial	Page:86—94
14. Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomographysynthesized posteroanterior cephalometric images	Page:77—85