274 related articles for article (PubMed ID: 31134222)
1. Atherosclerotic carotid plaque on panoramic radiographs: neural network detection.
Kats L; Vered M; Zlotogorski-Hurvitz A; Harpaz I
Int J Comput Dent; 2019; 22(2):163-169. PubMed ID: 31134222
[TBL] [Abstract][Full Text] [Related]
2. Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.
Lee JH; Jeong SN
Medicine (Baltimore); 2020 Jun; 99(26):e20787. PubMed ID: 32590758
[TBL] [Abstract][Full Text] [Related]
3. Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.
Murata M; Ariji Y; Ohashi Y; Kawai T; Fukuda M; Funakoshi T; Kise Y; Nozawa M; Katsumata A; Fujita H; Ariji E
Oral Radiol; 2019 Sep; 35(3):301-307. PubMed ID: 30539342
[TBL] [Abstract][Full Text] [Related]
4. Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.
Kwon O; Yong TH; Kang SR; Kim JE; Huh KH; Heo MS; Lee SS; Choi SC; Yi WJ
Dentomaxillofac Radiol; 2020 Dec; 49(8):20200185. PubMed ID: 32574113
[TBL] [Abstract][Full Text] [Related]
5. Quantitative level determination of fixed restorations on panoramic radiographs using deep learning.
Top AE; Özdoğan MS; Yeniad M
Int J Comput Dent; 2023 Nov; 26(4):285-299. PubMed ID: 36705319
[TBL] [Abstract][Full Text] [Related]
6. Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network.
Lee JH; Kim DH; Jeong SN
Oral Dis; 2020 Jan; 26(1):152-158. PubMed ID: 31677205
[TBL] [Abstract][Full Text] [Related]
7. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.
Lee JH; Kim DH; Jeong SN; Choi SH
J Dent; 2018 Oct; 77():106-111. PubMed ID: 30056118
[TBL] [Abstract][Full Text] [Related]
8. Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs.
Warin K; Limprasert W; Suebnukarn S; Inglam S; Jantana P; Vicharueang S
Int J Oral Maxillofac Surg; 2022 Nov; 51(11):1488-1494. PubMed ID: 35397969
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates.
Sukegawa S; Fujimura A; Taguchi A; Yamamoto N; Kitamura A; Goto R; Nakano K; Takabatake K; Kawai H; Nagatsuka H; Furuki Y
Sci Rep; 2022 Apr; 12(1):6088. PubMed ID: 35413983
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs.
Tassoker M; Öziç MÜ; Yuce F
Sci Rep; 2024 Feb; 14(1):4437. PubMed ID: 38396289
[TBL] [Abstract][Full Text] [Related]
14. Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods.
Buyuk C; Arican Alpay B; Er F
Dentomaxillofac Radiol; 2023 Feb; 52(3):20220209. PubMed ID: 36688738
[TBL] [Abstract][Full Text] [Related]
15. Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm.
Duman S; Yılmaz EF; Eşer G; Çelik Ö; Bayrakdar IS; Bilgir E; Costa ALF; Jagtap R; Orhan K
Oral Radiol; 2023 Jan; 39(1):207-214. PubMed ID: 35612677
[TBL] [Abstract][Full Text] [Related]
16. Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?
Sukegawa S; Yoshii K; Hara T; Tanaka F; Yamashita K; Kagaya T; Nakano K; Takabatake K; Kawai H; Nagatsuka H; Furuki Y
PLoS One; 2022; 17(7):e0269016. PubMed ID: 35895591
[TBL] [Abstract][Full Text] [Related]
17. Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs.
Fukuda M; Ariji Y; Kise Y; Nozawa M; Kuwada C; Funakoshi T; Muramatsu C; Fujita H; Katsumata A; Ariji E
Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Sep; 130(3):336-343. PubMed ID: 32444332
[TBL] [Abstract][Full Text] [Related]
18. Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs.
Liu Z; Liu J; Zhou Z; Zhang Q; Wu H; Zhai G; Han J
Int J Comput Assist Radiol Surg; 2021 Mar; 16(3):415-422. PubMed ID: 33547985
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the feasibility of using deep learning for multiclass classification of dental anomalies on panoramic radiographs.
Okazaki S; Mine Y; Iwamoto Y; Urabe S; Mitsuhata C; Nomura R; Kakimoto N; Murayama T
Dent Mater J; 2022 Nov; 41(6):889-895. PubMed ID: 36002296
[TBL] [Abstract][Full Text] [Related]
20. Graphical user interface-based convolutional neural network models for detecting nasopalatine duct cysts using panoramic radiography.
Ito K; Hirahara N; Muraoka H; Sawada E; Tokunaga S; Komatsu T; Kaneda T
Sci Rep; 2024 Apr; 14(1):7699. PubMed ID: 38565866
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
