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Cited by in F6Publishing
For: Li S, Liu J, Zhou Z, Zhou Z, Wu X, Li Y, Wang S, Liao W, Ying S, Zhao Z. Artificial intelligence for caries and periapical periodontitis detection. J Dent 2022;:104107. [PMID: 35341892 DOI: 10.1016/j.jdent.2022.104107] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Sadr S, Mohammad-Rahimi H, Motamedian SR, Zahedrozegar S, Motie P, Vinayahalingam S, Dianat O, Nosrat A. Deep Learning for Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy. J Endod 2022:S0099-2399(22)00845-7. [PMID: 36563779 DOI: 10.1016/j.joen.2022.12.007] [Reference Citation Analysis]
2 Ari T, Sağlam H, Öksüzoğlu H, Kazan O, Bayrakdar İŞ, Duman SB, Çelik Ö, Jagtap R, Futyma-Gąbka K, Różyło-Kalinowska I, Orhan K. Automatic Feature Segmentation in Dental Periapical Radiographs. Diagnostics (Basel) 2022;12. [PMID: 36553088 DOI: 10.3390/diagnostics12123081] [Reference Citation Analysis]
3 Pan F, Liu J, Cen Y, Chen Y, Cai R, Zhao Z, Liao W, Wang J. Accuracy of RGB-D camera-based and stereophotogrammetric facial scanners: a comparative study. J Dent 2022;127:104302. [PMID: 36152954 DOI: 10.1016/j.jdent.2022.104302] [Reference Citation Analysis]
4 Ginesin O, Zigdon-Giladi H, Gabay E, Machtei EE, Mijiritsky E, Mayer Y. Digital photometric analysis of gingival response to periodontal treatment. J Dent 2022;127:104331. [PMID: 36252859 DOI: 10.1016/j.jdent.2022.104331] [Reference Citation Analysis]
5 Albalawi F, Alamoud KA. Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review. Applied Sciences 2022;12:11864. [DOI: 10.3390/app122211864] [Reference Citation Analysis]
6 Altan B, Gunec HG, Cinar S, Kutal S, Gulum S, Aydin KC. Detecting Prosthetic Restorations Using Artificial Intelligence on Panoramic Radiographs. Scientific Programming 2022;2022:1-6. [DOI: 10.1155/2022/6384905] [Reference Citation Analysis]
7 Huang Z, Zheng H, Huang J, Yang Y, Wu Y, Ge L, Wang L. The Construction and Evaluation of a Multi-Task Convolutional Neural Network for a Cone-Beam Computed-Tomography-Based Assessment of Implant Stability. Diagnostics 2022;12:2673. [DOI: 10.3390/diagnostics12112673] [Reference Citation Analysis]
8 Cotti E, Schirru E. Present status and future directions: Imaging techniques for the detection of periapical lesions. Int Endod J 2022. [PMID: 36059089 DOI: 10.1111/iej.13828] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]