148 related articles for article (PubMed ID: 38169618)
1. Deep learning for tooth identification and enumeration in panoramic radiographs.
Sadr S; Mohammad-Rahimi H; Ghorbanimehr MS; Rokhshad R; Abbasi Z; Soltani P; Moaddabi A; Shahab S; Rohban MH
Dent Res J (Isfahan); 2023; 20():116. PubMed ID: 38169618
[TBL] [Abstract][Full Text] [Related]
2. Proposing a CNN Method for Primary and Permanent Tooth Detection and Enumeration on Pediatric Dental Radiographs.
Kaya E; Gunec HG; Gokyay SS; Kutal S; Gulum S; Ates HF
J Clin Pediatr Dent; 2022 Jul; 46(4):293-298. PubMed ID: 36099226
[TBL] [Abstract][Full Text] [Related]
3. An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs.
Bilgir E; Bayrakdar İŞ; Çelik Ö; Orhan K; Akkoca F; Sağlam H; Odabaş A; Aslan AF; Ozcetin C; Kıllı M; Rozylo-Kalinowska I
BMC Med Imaging; 2021 Aug; 21(1):124. PubMed ID: 34388975
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.
Kılıc MC; Bayrakdar IS; Çelik Ö; Bilgir E; Orhan K; Aydın OB; Kaplan FA; Sağlam H; Odabaş A; Aslan AF; Yılmaz AB
Dentomaxillofac Radiol; 2021 Sep; 50(6):20200172. PubMed ID: 33661699
[TBL] [Abstract][Full Text] [Related]
5. Deep learning for automated detection and numbering of permanent teeth on panoramic images.
Estai M; Tennant M; Gebauer D; Brostek A; Vignarajan J; Mehdizadeh M; Saha S
Dentomaxillofac Radiol; 2022 Feb; 51(2):20210296. PubMed ID: 34644152
[TBL] [Abstract][Full Text] [Related]
6. Convolutional neural networks for automated tooth numbering on panoramic radiographs: A scoping review.
Putra RH; Astuti ER; Nurrachman AS; Putri DK; Ghazali AB; Pradini TA; Prabaningtyas DT
Imaging Sci Dent; 2023 Dec; 53(4):271-281. PubMed ID: 38174035
[TBL] [Abstract][Full Text] [Related]
7. Robust automated teeth identification from dental radiographs using deep learning.
Xu M; Wu Y; Xu Z; Ding P; Bai H; Deng X
J Dent; 2023 Sep; 136():104607. PubMed ID: 37422206
[TBL] [Abstract][Full Text] [Related]
8. Tooth detection and numbering in panoramic radiographs using convolutional neural networks.
Tuzoff DV; Tuzova LN; Bornstein MM; Krasnov AS; Kharchenko MA; Nikolenko SI; Sveshnikov MM; Bednenko GB
Dentomaxillofac Radiol; 2019 May; 48(4):20180051. PubMed ID: 30835551
[TBL] [Abstract][Full Text] [Related]
9. Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.
Lee JH; Han SS; Kim YH; Lee C; Kim I
Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Jun; 129(6):635-642. PubMed ID: 31992524
[TBL] [Abstract][Full Text] [Related]
10. A comprehensive artificial intelligence framework for dental diagnosis and charting.
Kabir T; Lee CT; Chen L; Jiang X; Shams S
BMC Oral Health; 2022 Nov; 22(1):480. PubMed ID: 36352390
[TBL] [Abstract][Full Text] [Related]
11. Automated permanent tooth detection and numbering on panoramic radiograph using a deep learning approach.
Putra RH; Astuti ER; Putri DK; Widiasri M; Laksanti PAM; Majidah H; Yoda N
Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 May; 137(5):537-544. PubMed ID: 37633788
[TBL] [Abstract][Full Text] [Related]
12. Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs.
Chandrashekar G; AlQarni S; Bumann EE; Lee Y
Comput Biol Med; 2022 Sep; 148():105829. PubMed ID: 35868047
[TBL] [Abstract][Full Text] [Related]
13. A novel collaborative learning model for mixed dentition and fillings segmentation in panoramic radiographs.
Bumann EE; Al-Qarni S; Chandrashekar G; Sabzian R; Bohaty B; Lee Y
J Dent; 2024 Jan; 140():104779. PubMed ID: 38007173
[TBL] [Abstract][Full Text] [Related]
14. Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs.
Sheng C; Wang L; Huang Z; Wang T; Guo Y; Hou W; Xu L; Wang J; Yan X
J Syst Sci Complex; 2023; 36(1):257-272. PubMed ID: 36258771
[TBL] [Abstract][Full Text] [Related]
15. An artificial intelligence model for instance segmentation and tooth numbering on orthopantomograms.
Adnan N; Khalid WB; Umer F
Int J Comput Dent; 2023 Nov; 26(4):301-309. PubMed ID: 36705317
[TBL] [Abstract][Full Text] [Related]
16. A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs.
Kaya E; Gunec HG; Aydin KC; Urkmez ES; Duranay R; Ates HF
Imaging Sci Dent; 2022 Sep; 52(3):275-281. PubMed ID: 36238699
[TBL] [Abstract][Full Text] [Related]
17. A novel deep learning-based perspective for tooth numbering and caries detection.
Ayhan B; Ayan E; Bayraktar Y
Clin Oral Investig; 2024 Feb; 28(3):178. PubMed ID: 38411726
[TBL] [Abstract][Full Text] [Related]
18. Automatic dental age calculation from panoramic radiographs using deep learning: a two-stage approach with object detection and image classification.
Kokomoto K; Kariya R; Muranaka A; Okawa R; Nakano K; Nozaki K
BMC Oral Health; 2024 Jan; 24(1):143. PubMed ID: 38291396
[TBL] [Abstract][Full Text] [Related]
19. Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children.
Kim J; Hwang JJ; Jeong T; Cho BH; Shin J
Dentomaxillofac Radiol; 2022 Sep; 51(7):20210528. PubMed ID: 35731733
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs.
Leite AF; Gerven AV; Willems H; Beznik T; Lahoud P; Gaêta-Araujo H; Vranckx M; Jacobs R
Clin Oral Investig; 2021 Apr; 25(4):2257-2267. PubMed ID: 32844259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
