These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 35691961)

  • 1. Assessment of the accuracy of imaging software for 3D rendering of the upper airway, usable in orthodontic and craniofacial clinical settings.
    Lo Giudice A; Ronsivalle V; Gastaldi G; Leonardi R
    Prog Orthod; 2022 Jun; 23(1):22. PubMed ID: 35691961
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accuracy of imaging software usable in clinical settings for 3D rendering of tooth structures.
    Ronsivalle V; Venezia P; Migliorati M; Grippaudo C; Barbato E; Nucci L; Isola G; Leonardi R; Lo Giudice A
    Int J Comput Dent; 2024 Oct; 27(3):235-250. PubMed ID: 37272346
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique.
    Lo Giudice A; Quinzi V; Ronsivalle V; Farronato M; Nicotra C; Indelicato F; Isola G
    Int J Environ Res Public Health; 2020 Jul; 17(13):. PubMed ID: 32635238
    [TBL] [Abstract][Full Text] [Related]  

  • 4. One Step before 3D Printing-Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandible: A Comparative Study Using a Surface-to-Surface Matching Technique.
    Lo Giudice A; Ronsivalle V; Grippaudo C; Lucchese A; Muraglie S; Lagravère MO; Isola G
    Materials (Basel); 2020 Jun; 13(12):. PubMed ID: 32575875
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy of deep learning-based upper airway segmentation.
    Süküt Y; Yurdakurban E; Duran GS
    J Stomatol Oral Maxillofac Surg; 2024 Sep; 126(2):102048. PubMed ID: 39244033
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of linear measurements on 3D surface models using CBCT data segmentation obtained by automatic standard pre-set thresholds in two segmentation software programs: an in vitro study.
    Poleti ML; Fernandes TM; Pagin O; Moretti MR; Rubira-Bullen IR
    Clin Oral Investig; 2016 Jan; 20(1):179-85. PubMed ID: 25963719
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Accuracy of multi-task network based on vision Transformer in the three-dimensional upper airway analysis].
    Jin SH; Han HJ; Chen F; Guan XY; Hua F; He H
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2024 Sep; 59(9):911-918. PubMed ID: 39289979
    [No Abstract]   [Full Text] [Related]  

  • 8. Novel 3D segmentation for reliable volumetric assessment of the nasal airway: a CBCT study.
    Mupparapu M; Shi KJ; Lo AD; Setzer FC
    Quintessence Int; 2021; 52(2):154-164. PubMed ID: 33433081
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Are multi-detector computed tomography and cone-beam computed tomography exams and software accurate to measure the upper airway? A systematic review.
    Templier L; Rossi C; Lagravère Vich M; Fernández Pujol R; Muwanguzi M; Gianoni-Capenakas S
    Eur J Orthod; 2023 Nov; 45(6):818-831. PubMed ID: 37797294
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Linear accuracy and reliability of cone beam CT derived 3-dimensional images constructed using an orthodontic volumetric rendering program.
    Periago DR; Scarfe WC; Moshiri M; Scheetz JP; Silveira AM; Farman AG
    Angle Orthod; 2008 May; 78(3):387-95. PubMed ID: 18416632
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Correlation and reliability of cone-beam computed tomography nasopharyngeal volumetric and area measurements as determined by commercial software against nasopharyngoscopy-supported diagnosis of adenoid hypertrophy.
    Pachêco-Pereira C; Alsufyani N; Major M; Palomino-Gómez S; Pereira JR; Flores-Mir C
    Am J Orthod Dentofacial Orthop; 2017 Jul; 152(1):92-103. PubMed ID: 28651774
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reliability and accuracy of three imaging software packages used for 3D analysis of the upper airway on cone beam computed tomography images.
    Chen H; van Eijnatten M; Wolff J; de Lange J; van der Stelt PF; Lobbezoo F; Aarab G
    Dentomaxillofac Radiol; 2017 Aug; 46(6):20170043. PubMed ID: 28467118
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic three-dimensional nasal and pharyngeal airway subregions identification via Vision Transformer.
    Jin S; Han H; Huang Z; Xiang Y; Du M; Hua F; Guan X; Liu J; Chen F; He H
    J Dent; 2023 Sep; 136():104595. PubMed ID: 37343616
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Imaging software accuracy for 3-dimensional analysis of the upper airway.
    Weissheimer A; Menezes LM; Sameshima GT; Enciso R; Pham J; Grauer D
    Am J Orthod Dentofacial Orthop; 2012 Dec; 142(6):801-13. PubMed ID: 23195366
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 3D reconstruction of lower anterior teeth from CBCT images: automatic segmentation with manual refinements.
    Morell GFC; Chen K; Flores-Mir C
    Dental Press J Orthod; 2023; 28(3):e232249. PubMed ID: 37466507
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automatic vs manual methods.
    Vallaeys K; Kacem A; Legoux H; Le Tenier M; Hamitouche C; Arbab-Chirani R
    Dentomaxillofac Radiol; 2015; 44(8):20150079. PubMed ID: 25996572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Volumetric reconstruction and determination of minimum crosssectional area of the pharynx in patients with cleft lip and palate: comparison between two different softwares.
    Pinheiro ML; Yatabe M; Ioshida M; Orlandi L; Dumast P; Trindade-Suedam IK
    J Appl Oral Sci; 2018 Oct; 26():e20170282. PubMed ID: 30304121
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure.
    Gomes AF; Brasil DM; Silva AIV; Freitas DQ; Haiter-Neto F; Groppo FC
    Oral Radiol; 2020 Apr; 36(2):183-189. PubMed ID: 31267257
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel region-growing based semi-automatic segmentation protocol for three-dimensional condylar reconstruction using cone beam computed tomography (CBCT).
    Xi T; Schreurs R; Heerink WJ; Bergé SJ; Maal TJ
    PLoS One; 2014; 9(11):e111126. PubMed ID: 25401954
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Segmentation process significantly influences the accuracy of 3D surface models derived from cone beam computed tomography.
    Fourie Z; Damstra J; Schepers RH; Gerrits PO; Ren Y
    Eur J Radiol; 2012 Apr; 81(4):e524-30. PubMed ID: 21733649
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.