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For: Khan HA, Haider MA, Ansari HA, Ishaq H, Kiyani A, Sohail K, Muhammad M, Khurram SA. Automated feature detection in dental periapical radiographs by using deep learning. Oral Surg Oral Med Oral Pathol Oral Radiol 2021;131:711-20. [PMID: 32950425 DOI: 10.1016/j.oooo.2020.08.024] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Fatima A, Shafi I, Afzal H, Díez IDLT, Lourdes DRM, Breñosa J, Espinosa JCM, Ashraf I. Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. Healthcare 2022;10:2188. [DOI: 10.3390/healthcare10112188] [Reference Citation Analysis]
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3 Abusalim S, Zakaria N, Islam MR, Kumar G, Mokhtar N, Abdulkadir SJ. Analysis of Deep Learning Techniques for Dental Informatics: A Systematic Literature Review. Healthcare 2022;10:1892. [DOI: 10.3390/healthcare10101892] [Reference Citation Analysis]
4 Ramana Kumari A, Nagaraja Rao S, Ramana Reddy P. Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN. Biomedical Signal Processing and Control 2022;78:103961. [DOI: 10.1016/j.bspc.2022.103961] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Mohammad-Rahimi H, Motamedian SR, Pirayesh Z, Haiat A, Zahedrozegar S, Mahmoudinia E, Rohban MH, Krois J, Lee JH, Schwendicke F. Deep learning in periodontology and oral implantology: A scoping review. J Periodontal Res 2022. [PMID: 35856183 DOI: 10.1111/jre.13037] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Jiang L, Chen D, Cao Z, Wu F, Zhu H, Zhu F. A two-stage deep learning architecture for radiographic staging of periodontal bone loss. BMC Oral Health 2022;22:106. [PMID: 35365122 DOI: 10.1186/s12903-022-02119-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 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: 2] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
8 Mohammad-rahimi H, Motamedian SR, Rohban MH, Krois J, Uribe S, Nia EM, Rokhshad R, Nadimi M, Schwendicke F. Deep Learning for Caries Detection: A Systematic Review. Journal of Dentistry 2022. [DOI: 10.1016/j.jdent.2022.104115] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
9 Estai M, Tennant M, Gebauer D, Brostek A, Vignarajan J, Mehdizadeh M, Saha S. Evaluation of a deep learning system for automatic detection of proximal surface dental caries on bitewing radiographs. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2022. [DOI: 10.1016/j.oooo.2022.03.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Bayrakdar IS, Orhan K, Akarsu S, Çelik Ö, Atasoy S, Pekince A, Yasa Y, Bilgir E, Sağlam H, Aslan AF, Odabaş A. Deep-learning approach for caries detection and segmentation on dental bitewing radiographs. Oral Radiol 2021. [PMID: 34807344 DOI: 10.1007/s11282-021-00577-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
11 Başaran M, Çelik Ö, Bayrakdar IS, Bilgir E, Orhan K, Odabaş A, Aslan AF, Jagtap R. Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system. Oral Radiol 2021. [PMID: 34611840 DOI: 10.1007/s11282-021-00572-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
12 Schlickenrieder A, Meyer O, Schönewolf J, Engels P, Hickel R, Gruhn V, Hesenius M, Kühnisch J. Automatized Detection and Categorization of Fissure Sealants from Intraoral Digital Photographs Using Artificial Intelligence. Diagnostics (Basel) 2021;11:1608. [PMID: 34573949 DOI: 10.3390/diagnostics11091608] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
13 Kühnisch J, Meyer O, Hesenius M, Hickel R, Gruhn V. Caries Detection on Intraoral Images Using Artificial Intelligence. J Dent Res 2021;:220345211032524. [PMID: 34416824 DOI: 10.1177/00220345211032524] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 17.0] [Reference Citation Analysis]
14 Hossein-nejad Z, Nasri M. Clustered redundant keypoint elimination method for image mosaicing using a new Gaussian-weighted blending algorithm. Vis Comput 2022;38:1991-2007. [DOI: 10.1007/s00371-021-02261-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
15 Danks RP, Bano S, Orishko A, Tan HJ, Moreno Sancho F, D'Aiuto F, Stoyanov D. Automating Periodontal bone loss measurement via dental landmark localisation. Int J Comput Assist Radiol Surg 2021;16:1189-99. [PMID: 34152567 DOI: 10.1007/s11548-021-02431-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Alshbishiri AA, Marghalani MA, Khan HA, Ahmad RG, Alqarni MA, Khan MM. Adenoid segmentation in X-ray images using U-Net. 2021 National Computing Colleges Conference (NCCC) 2021. [DOI: 10.1109/nccc49330.2021.9428866] [Reference Citation Analysis]