BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

477 related articles for article (PubMed ID: 33783247)

  • 1. Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning.
    Wang H; Minnema J; Batenburg KJ; Forouzanfar T; Hu FJ; Wu G
    J Dent Res; 2021 Aug; 100(9):943-949. PubMed ID: 33783247
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network.
    Minnema J; van Eijnatten M; Hendriksen AA; Liberton N; Pelt DM; Batenburg KJ; Forouzanfar T; Wolff J
    Med Phys; 2019 Nov; 46(11):5027-5035. PubMed ID: 31463937
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer.
    Han X; Hong J; Reyngold M; Crane C; Cuaron J; Hajj C; Mann J; Zinovoy M; Greer H; Yorke E; Mageras G; Niethammer M
    Med Phys; 2021 Jun; 48(6):3084-3095. PubMed ID: 33905539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of convolutional neural network training strategies for cone-beam CT image segmentation.
    Minnema J; Wolff J; Koivisto J; Lucka F; Batenburg KJ; Forouzanfar T; van Eijnatten M
    Comput Methods Programs Biomed; 2021 Aug; 207():106192. PubMed ID: 34062493
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. A deep learning-based automatic segmentation of zygomatic bones from cone-beam computed tomography images: A proof of concept.
    Tao B; Yu X; Wang W; Wang H; Chen X; Wang F; Wu Y
    J Dent; 2023 Aug; 135():104582. PubMed ID: 37321334
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction.
    Minnema J; van Eijnatten M; der Sarkissian H; Doyle S; Koivisto J; Wolff J; Forouzanfar T; Lucka F; Batenburg KJ
    Phys Med Biol; 2021 Jul; 66(13):. PubMed ID: 34107467
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study.
    Preda F; Morgan N; Van Gerven A; Nogueira-Reis F; Smolders A; Wang X; Nomidis S; Shaheen E; Willems H; Jacobs R
    J Dent; 2022 Sep; 124():104238. PubMed ID: 35872223
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.
    Abbani N; Baudier T; Rit S; Franco FD; Okoli F; Jaouen V; Tilquin F; Barateau A; Simon A; de Crevoisier R; Bert J; Sarrut D
    Med Phys; 2022 Nov; 49(11):6930-6944. PubMed ID: 36000762
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Deep learning for automated segmentation of the temporomandibular joint.
    Vinayahalingam S; Berends B; Baan F; Moin DA; van Luijn R; Bergé S; Xi T
    J Dent; 2023 May; 132():104475. PubMed ID: 36870441
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.