IJ Radiology
An Innovative Journal in the Field of Radiology
Scopus by Title (Ref)
1. Artificial intelligence in the detection and classification of dental caries
- Ahmed W.M. , et al.
2. ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS
- ABBOTT L.P. , et al.
3. Artificial Intelligence Applications in Oral Health Imaging
- Hamdan M. , et al.
4. State-of-art technologies, challenges, and emerging trends of computer vision in dental images
- Priya J. , et al.
5. A primer and overview of the role of artificial intelligence in oral and maxillofacial radiology
- Tyndall D.A. , et al.
6. Applications of artificial intelligence in restorative dentistry: a scoping review
- Aziz A.M. , et al.
7. Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study
- Altındağ A. , et al.
8. Applications of Artificial Intelligence in Dentistry
- Jaju P.P. , et al.
9. Diagnostic accuracy of artificial intelligence versus dental experts in predicting endodontic outcomes: A systematic review
- Choudhari S. , et al.
10. Artificial intelligence-powered dentistry: Probing the potential, challenges, and ethicality of artificial intelligence in dentistry
- Rahim A. , et al.
11. Teeth segmentation by optical radiographic images using VGG-16 deep learning convolution architecture with R-CNN network approach for biomedical sensing applications
- Alam M.K. , et al.
12. Automatic Feature Segmentation in Dental Periapical Radiographs
- Ari T. , et al.
13. Use and performance of artificial intelligence applications in the diagnosis of chronic apical periodontitis based on cone beam computed tomography imaging
- Qian J. , et al.
14. Proposing a CNN Method for Primary and Permanent Tooth Detection and Enumeration on Pediatric Dental Radiographs
- Kaya E. , et al.
15. The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs
- Hamdan M.H. , et al.
16. The local ternary pattern encoder–decoder neural network for dental image segmentation
- Salih O. , et al.
17. An Automated Segmentation Approach using Clustering Technique for Dental Problems Impacted 3rd Molar
- Jain K.R. , et al.
18. Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs
- Görürgöz C. , et al.
19. A Hybrid Optimization Approach with Deep Learning Technique for the Classification of Dental Caries
- Chawla R. , et al.
20. Development and evaluation of deep learning for screening dental caries from oral photographs
- Zhang X. , et al.
21. An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs
- Bilgir E. , et al.
22. A deep learning approach for dental implant planning in cone-beam computed tomography images
- Bayrakdar S.K. , et al.
23. Automatic blob detection for dental caries
- Majanga V. , et al.
24. Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans
- Orhan K. , et al.
25. Dental Images' Segmentation Using Threshold Connected Component Analysis
- Majanga V. , et al.