| 1. |
Dens Evaginatus: Management and Review of the Literature |
| 2. |
การประเมินคุณภาพเชิงจิตวิสัยของภาพรังสี จากเครื่องโคนบีมซีทีที่พัฒนาขึ้นโดย สวทช. ประเทศไทย |
| 3. |
A CBCT study of the anterior loop of the mental canal in Thais |
| 4. |
Diagnostic performance of cone-beam computed tomography on detection of mechanically-created artificial secondary caries |
| 5. |
Infection control and patient discomfort with an alternative plastic barrier in intraoral digital radiography |
| 6. |
Feasibility of deep learning for dental caries classification in bitewing radiographs based on the ICCMS™ radiographic scoring system |
| 7. |
Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™ radiographic scoring system |
| 8. |
Correction to: Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™ radiographic scoring system (Clinical Oral Investigations, (2022), 27, 4, (1731-1742), 10.1007/s00784-022-04801-6) |
| 9. |
Comparison of subjective image analysis and effective dose between low-dose cone-beam computed tomography machines |
| 10. |
Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7 |
| 11. |
การศึกษาเกี่ยวกับแนวโค้งด้านหน้า ของคลองประสาทข้างคางในผู้ป่วยชาวไทย |
| 12. |
เดนส์ อีแวกจิเนตัส : แนวทางการรักษาและทบทวนวรรณกรรม |
| 13. |
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset |
| 14. |
Age Group Classification From Dental Panoramic Radiographs Using Deep Learning Techniques |
| 15. |
CrossViT with ECAP: Enhanced deep learning for jaw lesion classification |
| 16. |
Utility of 3D facial reconstruction for forensic identification: a focus on facial soft tissue thickness and customized techniques |
| 17. |
A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification |
| 18. |
Enhancing Dental Caries Classification with Adversarial Training on Bitewing Radiographs |
| 19. |
End-to-end vs. human-defined feature extraction: comparing deep learning approaches for age classification using mandibular third molars |
| 20. |
Development of a YOLOv8-based deep learning framework for detection and classification of periapical radiolucencies in dental radiographs using the periapical index |
| 21. |
Sex, age, and body mass index influence on facial soft tissue thickness in a Thai population above middle age by ultrasonographic imaging |
| 22. |
Digital and immersive approaches to anatomy education: a pilot comparative study of CI, VR, and hybrid learning in implant planning |
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