Abstract
Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Hugo Gaêta-Araujo
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Full virtual patient generated by artificial intelligence-driven integrated segmentation of craniomaxillofacial structures from CBCT images
10.1016/j.jdent.2023.104829 · 2024
Combining intraoral scans, cone beam computed tomography and face scans: the virtual patient
10.1097/scs.0000000000004485 · 2018
Accuracy and eligibility of CBCT to digitize dental plaster casts
10.1007/s00784-017-2277-x · 2018
Evaluating free segmentation tools for CBCT‐derived models: cost‐effective solutions
10.1111/ocr.12799 · 2024
Trueness of cone beam computed tomography versus intra‐oral scanner derived three‐dimensional digital models: an ex vivo study
10.1111/clr.13434 · 2019
Accuracy of IOS in full-arch dentate patients compared to CBCT cast-scanning. An In-Vivo study
2019
Accuracy of CAD/CAM digital impressions with different intraoral scanner parameters
10.3390/s20041157 · 2020
Accuracy of complete-arch model using an intraoral video scanner: an in vitro study
10.1016/j.prosdent.2015.11.007 · 2016
Cone beam computed tomography in dentomaxillofacial radiology: a two-decade overview
10.1259/dmfr.20200145 · 2020
Validation of a novel AI‐based automated multimodal image registration of CBCT and intraoral scan aiding presurgical implant planning
10.1111/clr.14338 · 2024
CBCT in orthodontics: assessment of treatment outcomes and indications for its use
10.1259/dmfr.20140282 · 2015
Automated orofacial virtual patient creation: a proof of concept
10.1016/j.jdent.2024.105387 · 2024
Automated orofacial virtual patient creation using two cohorts of MSCT vs. CBCT scans
10.1186/s13005-025-00500-1 · 2025
Three‐dimensional facial imaging: a comparative assessment of the clinical applicability of state‐of‐the‐art technologies for three‐dimensional facial imaging
10.1155/ijod/8822293 · 2025
Cone-beam CT in paediatric dentistry: DIMITRA project position statement
10.1007/s00247-017-4012-9 · 2018
Cone beam computed tomography in dentistry: clinical recommendations and indication-specific features
10.1016/j.jdent.2025.105781 · 2025
CBCT images to an STL model: exploring the “Critical Factors” to binarization thresholds in STL data creation
10.3390/diagnostics13050921 · 2023
Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images
10.1111/clr.14063 · 2023
Unveiling the power of artificial intelligence for image‐based diagnosis and treatment in endodontics: an ally or adversary?
10.1111/iej.14163 · 2025
Artificial intelligence serving pre-surgical digital implant planning: a scoping review
10.1016/j.jdent.2024.104862 · 2024
Soft tissue cone‐beam computed tomography: a novel method for the measurement of gingival tissue and the dimensions of the dentogingival unit
10.1111/j.1708-8240.2008.00210.x · 2008
Multiclass CBCT image segmentation for orthodontics with deep learning
10.1177/00220345211005338 · 2021
Accuracy of cone-beam computed tomography in determining gingival thickness: a systematic review and meta-analysis
10.1007/s00784-023-04905-7 · 2023
3D computer‐aided treatment planning in periodontology: a novel approach for evaluation and visualization of soft tissue thickness
10.1111/jerd.12614 · 2020
Accuracy of triangular meshes of stone models created from DICOM cone beam CT data
10.1186/s40729-019-0171-9 · 2019
Comparative evaluation of digitization of diagnostic dental cast (Plaster) models using different scanning technologies
10.3390/dj8030079 · 2020
Effective radiation dose and eye lens dose in dental cone beam CT: effect of field of view and angle of rotation
10.1259/bjr.20130654 · 2014
Cone beam computed tomography in implant dentistry: recommendations for clinical use
10.1186/s12903-018-0523-5 · 2018
Accuracy and dimensional reproducibility by model scanning, intraoral scanning, and CBCT imaging for digital implant dentistry
10.1186/s40729-021-00343-w · 2021
Comparison of intraoral scanning and CBCT to generate digital and 3D-printed casts by fused deposition modeling and digital light processing
10.1016/j.jdent.2022.104387 · 2023
Comparison of the dimensional and morphological accuracy of three-dimensional digital dental casts digitized using different methods
10.1007/s10266-022-00736-2 · 2023
Accuracy of portable face-scanning devices for obtaining three-dimensional face models: a systematic review and meta-analysis
10.3390/ijerph18010094 · 2020
Facial scanning technologies in the era of digital workflow: a systematic review and network meta-analysis
10.2186/jpr.jpr_d_22_00107 · 2022
Two experimental methods to integrate intra-oral scans into 3D stereophotogrammetric facial images
10.1007/s00784-024-06138-8 · 2025
Accuracy (trueness and precision) of 3-dimensional virtual patients: an in vitro investigation of different facial scanners and digital integration techniques
10.1016/j.jdent.2025.105567 · 2025
Smartphone applications for facial scanning: a technical and scoping review
10.1111/ocr.12821 · 2024
Divergence between CBCT and optical scans for soft tissue analysis and cephalometry in facial imaging: a cross-sectional study on healthy adults
10.1016/j.ortho.2024.100845 · 2024
Accuracy and reliability of 2-dimensional photography versus 3-dimensional soft tissue imaging
10.5624/isd.2020.50.1.15 · 2020
Moving toward patient specificity for devising cone‐beam computed tomography field‐of‐views: a normative maxillary skeletal dimensional analysis
10.1111/ipd.13089 · 2023
Convex triangular vs. cylindrical field of view: how does the shape of the FOV affect radiation dose?
10.1007/s00784-023-05380-w · 2023
Recognizing and minimizing artifacts at dual-energy CT
10.1148/rg.2021200049 · doi-reference
Improved fast kV‐switching dual‐energy CBCT with a spectral modulator: system design and a feasibility study
10.1002/mp.18024 · doi-reference
Principles and applications of multienergy CT: report of AAPM task group 291
10.1002/mp.14157 · doi-reference
Technical principles of dual source CT
10.1016/j.ejrad.2008.08.013 · doi-reference
Surveying the landscape of diagnostic imaging in dentistry's future
10.1016/j.adaj.2024.01.005 · doi-reference
Low-cost dual-energy CBCT by spectral filtration of a dual focal spot X-ray source
10.1038/s41598-024-60774-4 · doi-reference
Effect of a motion artifact correction system on cone-beam computed tomography image characteristics
10.7759/cureus.35016 · doi-reference
Cone beam CT image artefacts related to head motion simulated by a robot skull: visual characteristics and impact on image quality
10.1259/dmfr/32310645 · doi-reference
Detection of patient movement during CBCT examination using video observation compared with an accelerometer-gyroscope tracking system
10.1259/dmfr.20160289 · doi-reference
Accuracy of video observation and a three-dimensional head tracking system for detecting and quantifying robot-simulated head movements in cone beam computed tomography
10.1016/j.oooo.2017.02.010 · doi-reference
Heartbeat-Induced axial motion artifacts in optical coherence tomography measurements of the retina
10.1167/iovs.10-6738 · doi-reference
Patient movement and motion artefacts in cone beam computed tomography of the dentomaxillofacial region: a systematic literature review
10.1016/j.oooo.2015.11.019 · doi-reference
Artificial intelligence in dentistry: chances and challenges
10.1177/0022034520915714 · doi-reference
An AI-based tool for prosthetic crown segmentation serving automated intraoral scan-to-CBCT registration in challenging high artifact scenarios
10.1016/j.prosdent.2025.02.004 · doi-reference
Accuracy of the match between cone beam computed tomography and model scan data in template‐guided implant planning: a prospective controlled clinical study
10.1111/cid.12614 · doi-reference
Registration of digital dental models and cone-beam computed tomography images using 3-dimensional planning software: comparison of the accuracy according to scanning methods and software
10.1016/j.ajodo.2019.12.013 · doi-reference
A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study
10.1016/j.jdent.2021.103865 · doi-reference
Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments
10.1259/dmfr.20210268 · doi-reference
The effect of threshold level on bone segmentation of cranial base structures from CT and CBCT images
10.1038/s41598-020-64383-9 · doi-reference
An analysis of patient dose received during cone-beam computed tomography in relation to scan settings and imaging indications as seen in a dental institution in order to establish institutional diagnostic reference levels
10.1259/dmfr.20200529 · doi-reference
Establishment of national diagnostic reference levels in dental cone beam computed tomography in Switzerland
10.1259/dmfr.20190468 · doi-reference
Influence of tube current and metal artifact reduction on the diagnosis of external cervical resorption in teeth adjacent to a dental implant in CBCT: an ex-vivo study
10.1007/s00784-024-05750-y · doi-reference
Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an ex vivo study
10.5395/rde.2023.48.e16 · doi-reference
Cone beam CT optimisation for detection of vertical root fracture with metal in the field of view or the exomass
10.1038/s41598-021-98345-6 · doi-reference
Novel low-dose protocols using cone beam computed tomography in dental medicine: a review focusing on indications, limitations, and future possibilities
10.1007/s00784-019-02907-y · doi-reference
Magnitude of beam-hardening artifacts produced by gutta-percha and metal posts on cone-beam computed tomography with varying tube current
10.5624/isd.2020.50.1.1 · doi-reference
Influence of acquisition parameters on the magnitude of cone beam computed tomography artifacts
10.1259/dmfr.20180151 · doi-reference
Distortion or magnification? An in vitro cone-beam CT study of dimensional changes of objects with different compositions
10.1259/dmfr.20210063 · doi-reference
Magnitude of cone beam CT image artifacts related to zirconium and titanium implants: impact on image quality
10.1259/dmfr.20180021 · doi-reference
Mapping artifacts generated in a tooth adjacent to titanium and zirconia implants located in the endomass and exomass in cone beam computed tomography: an ex vivo study
10.1016/j.oooo.2023.08.002 · doi-reference
Evaluation of motion artifacts in cone-beam computed tomography with three different patient positioning
10.1007/s11282-020-00446-x · doi-reference
Expression of beam hardening artifacts on horizontally stitched cone-beam computed tomography images
10.5624/isd.20240061 · doi-reference
Low‐dose, standard, and high‐resolution cone beam computed tomography for alveolar bone measurements related to implant planning: an ex vivo study in human specimens
10.1111/clr.14326 · doi-reference
Evaluation of 10 cone-beam computed tomographic devices for endodontic assessment of fine anatomic structures
10.1016/j.joen.2021.02.013 · doi-reference
Spatial resolution in CBCT machines for dental/maxillofacial applications—what do we know today?
10.1259/dmfr.20140204 · doi-reference
Effective doses of scout projections in maxillofacial cone beam computed tomography
10.1007/s00784-024-05971-1 · doi-reference