263 related articles for article (PubMed ID: 33270045)
1. Development of an Artificial Intelligence Model to Identify a Dental Implant from a Radiograph.
Hadj Saïd M; Le Roux MK; Catherine JH; Lan R
Int J Oral Maxillofac Implants; 2020; 36(6):1077-1082. PubMed ID: 33270045
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated Identification of Dental Implants Using Artificial Intelligence.
da Mata Santos RP; Vieira Oliveira Prado HE; Soares Aranha Neto I; Alves de Oliveira GA; Vespasiano Silva AI; Zenóbio EG; Manzi FR
Int J Oral Maxillofac Implants; 2021; 36(5):918-923. PubMed ID: 34698717
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph Images.
Sukegawa S; Yoshii K; Hara T; Matsuyama T; Yamashita K; Nakano K; Takabatake K; Kawai H; Nagatsuka H; Furuki Y
Biomolecules; 2021 May; 11(6):. PubMed ID: 34070916
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Deep Neural Networks for Dental Implant System Classification.
Sukegawa S; Yoshii K; Hara T; Yamashita K; Nakano K; Yamamoto N; Nagatsuka H; Furuki Y
Biomolecules; 2020 Jul; 10(7):. PubMed ID: 32630195
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically-a retrospective study.
Alotaibi G; Awawdeh M; Farook FF; Aljohani M; Aldhafiri RM; Aldhoayan M
BMC Oral Health; 2022 Sep; 22(1):399. PubMed ID: 36100856
[TBL] [Abstract][Full Text] [Related]
10. Application of deep learning-based computer-aided detection system: detecting pneumothorax on chest radiograph after biopsy.
Park S; Lee SM; Kim N; Choe J; Cho Y; Do KH; Seo JB
Eur Radiol; 2019 Oct; 29(10):5341-5348. PubMed ID: 30915557
[TBL] [Abstract][Full Text] [Related]
11. A pilot study of a deep learning approach to detect marginal bone loss around implants.
Liu M; Wang S; Chen H; Liu Y
BMC Oral Health; 2022 Jan; 22(1):11. PubMed ID: 35034611
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments.
Gan K; Xu D; Lin Y; Shen Y; Zhang T; Hu K; Zhou K; Bi M; Pan L; Wu W; Liu Y
Acta Orthop; 2019 Aug; 90(4):394-400. PubMed ID: 30942136
[TBL] [Abstract][Full Text] [Related]
13. A deep learning approach to dental restoration classification from bitewing and periapical radiographs.
Karatas O; Cakir NN; Ozsariyildiz SS; Kis HC; Demirbuga S; Gurgan CA
Quintessence Int; 2021 Jun; 52(7):568-574. PubMed ID: 33880914
[TBL] [Abstract][Full Text] [Related]
14. Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.
Yi PH; Kim TK; Wei J; Shin J; Hui FK; Sair HI; Hager GD; Fritz J
Pediatr Radiol; 2019 Jul; 49(8):1066-1070. PubMed ID: 31041454
[TBL] [Abstract][Full Text] [Related]
15. Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs.
Borjali A; Chen AF; Bedair HS; Melnic CM; Muratoglu OK; Morid MA; Varadarajan KM
Med Phys; 2021 May; 48(5):2327-2336. PubMed ID: 33411949
[TBL] [Abstract][Full Text] [Related]
16. Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.
Singh V; Danda V; Gorniak R; Flanders A; Lakhani P
J Digit Imaging; 2019 Aug; 32(4):651-655. PubMed ID: 31073816
[TBL] [Abstract][Full Text] [Related]
17. Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.
Choi JW; Cho YJ; Lee S; Lee J; Lee S; Choi YH; Cheon JE; Ha JY
Invest Radiol; 2020 Feb; 55(2):101-110. PubMed ID: 31725064
[TBL] [Abstract][Full Text] [Related]
18. Detecting pediatric wrist fractures using deep-learning-based object detection.
Zech JR; Carotenuto G; Igbinoba Z; Tran CV; Insley E; Baccarella A; Wong TT
Pediatr Radiol; 2023 May; 53(6):1125-1134. PubMed ID: 36650360
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning for the Radiographic Detection of Apical Lesions.
Ekert T; Krois J; Meinhold L; Elhennawy K; Emara R; Golla T; Schwendicke F
J Endod; 2019 Jul; 45(7):917-922.e5. PubMed ID: 31160078
[TBL] [Abstract][Full Text] [Related]
20. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
[No Abstract] [Full Text] [Related]
[Next] [New Search]