647 related articles for article (PubMed ID: 35183696)
1. Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images - A validation study.
Fontenele RC; Gerhardt MDN; Pinto JC; Van Gerven A; Willems H; Jacobs R; Freitas DQ
J Dent; 2022 Apr; 119():104069. PubMed ID: 35183696
[TBL] [Abstract][Full Text] [Related]
2. Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study.
Ayidh Alqahtani K; Jacobs R; Smolders A; Van Gerven A; Willems H; Shujaat S; Shaheen E
Eur J Orthod; 2023 Mar; 45(2):169-174. PubMed ID: 36099419
[TBL] [Abstract][Full Text] [Related]
3. Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks.
Gerhardt MDN; Fontenele RC; Leite AF; Lahoud P; Van Gerven A; Willems H; Smolders A; Beznik T; Jacobs R
J Dent; 2022 Jul; 122():104139. PubMed ID: 35461974
[TBL] [Abstract][Full Text] [Related]
4. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
5. A unique artificial intelligence-based tool for automated CBCT segmentation of mandibular incisive canal.
Jindanil T; Marinho-Vieira LE; de-Azevedo-Vaz SL; Jacobs R
Dentomaxillofac Radiol; 2023 Nov; 52(8):20230321. PubMed ID: 37870152
[TBL] [Abstract][Full Text] [Related]
6. A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study.
Shaheen E; Leite A; Alqahtani KA; Smolders A; Van Gerven A; Willems H; Jacobs R
J Dent; 2021 Dec; 115():103865. PubMed ID: 34710545
[TBL] [Abstract][Full Text] [Related]
7. Convolutional neural network-based automated maxillary alveolar bone segmentation on cone-beam computed tomography images.
Fontenele RC; Gerhardt MDN; Picoli FF; Van Gerven A; Nomidis S; Willems H; Freitas DQ; Jacobs R
Clin Oral Implants Res; 2023 Jun; 34(6):565-574. PubMed ID: 36906917
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence for Fast and Accurate 3-Dimensional Tooth Segmentation on Cone-beam Computed Tomography.
Lahoud P; EzEldeen M; Beznik T; Willems H; Leite A; Van Gerven A; Jacobs R
J Endod; 2021 May; 47(5):827-835. PubMed ID: 33434565
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT.
Lahoud P; Diels S; Niclaes L; Van Aelst S; Willems H; Van Gerven A; Quirynen M; Jacobs R
J Dent; 2022 Jan; 116():103891. PubMed ID: 34780873
[TBL] [Abstract][Full Text] [Related]
10. Evaluating tooth segmentation accuracy and time efficiency in CBCT images using artificial intelligence: A systematic review and Meta-analysis.
Xiang B; Lu J; Yu J
J Dent; 2024 Jul; 146():105064. PubMed ID: 38768854
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study.
Elgarba BM; Van Aelst S; Swaity A; Morgan N; Shujaat S; Jacobs R
J Dent; 2023 Oct; 137():104639. PubMed ID: 37517787
[TBL] [Abstract][Full Text] [Related]
12. A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images.
Cui Z; Fang Y; Mei L; Zhang B; Yu B; Liu J; Jiang C; Sun Y; Ma L; Huang J; Liu Y; Zhao Y; Lian C; Ding Z; Zhu M; Shen D
Nat Commun; 2022 Apr; 13(1):2096. PubMed ID: 35440592
[TBL] [Abstract][Full Text] [Related]
13. Novel AI-based tool for primary tooth segmentation on CBCT using convolutional neural networks: A validation study.
Elsonbaty S; Elgarba BM; Fontenele RC; Swaity A; Jacobs R
Int J Paediatr Dent; 2024 May; ():. PubMed ID: 38769619
[TBL] [Abstract][Full Text] [Related]
14. Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN.
Li Q; Chen K; Han L; Zhuang Y; Li J; Lin J
J Xray Sci Technol; 2020; 28(5):905-922. PubMed ID: 32986647
[TBL] [Abstract][Full Text] [Related]
15. Micro-Computed Tomography-Guided Artificial Intelligence for Pulp Cavity and Tooth Segmentation on Cone-beam Computed Tomography.
Lin X; Fu Y; Ren G; Yang X; Duan W; Chen Y; Zhang Q
J Endod; 2021 Dec; 47(12):1933-1941. PubMed ID: 34520812
[TBL] [Abstract][Full Text] [Related]
16. A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images.
Sin Ç; Akkaya N; Aksoy S; Orhan K; Öz U
Orthod Craniofac Res; 2021 Dec; 24 Suppl 2():117-123. PubMed ID: 33619828
[TBL] [Abstract][Full Text] [Related]
17. Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images.
Nogueira-Reis F; Morgan N; Nomidis S; Van Gerven A; Oliveira-Santos N; Jacobs R; Tabchoury CPM
Clin Oral Investig; 2023 Mar; 27(3):1133-1141. PubMed ID: 36114907
[TBL] [Abstract][Full Text] [Related]
18. [Segmentation and accuracy validation of mandibular molar and pulp cavity on cone-beam CT images by U-net neural network].
Lin X; Fu YJ; Ren GQ; Wen JH; Chen YF; Zhang Q
Shanghai Kou Qiang Yi Xue; 2022 Oct; 31(5):454-459. PubMed ID: 36758590
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images.
Bayrakdar IS; Elfayome NS; Hussien RA; Gulsen IT; Kuran A; Gunes I; Al-Badr A; Celik O; Orhan K
Dentomaxillofac Radiol; 2024 Apr; 53(4):256-266. PubMed ID: 38502963
[TBL] [Abstract][Full Text] [Related]
20. Full virtual patient generated by artificial intelligence-driven integrated segmentation of craniomaxillofacial structures from CBCT images.
Nogueira-Reis F; Morgan N; Suryani IR; Tabchoury CPM; Jacobs R
J Dent; 2024 Feb; 141():104829. PubMed ID: 38163456
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
