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References from Impact of simulated reduced field of view on AI-driven orofacial virtual patient creation. Local targets link to admitted publications; unresolved targets remain external evidence.
Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments
10.1259/dmfr.20210268 · 2021 · External reference
The virtual patient in dental medicine
10.1111/clr.12379 · 2015 · External reference
Digital technologies for restorative dentistry
2022 · External reference
Creating three-dimensional virtual patients by superimposing intraoral and facial digital scans guided with an aligner system: a dental technique
10.1016/j.prosdent.2022.09.008 · 2024 · External reference
Chairside 3D digital design and trial restoration workflow
10.1016/j.prosdent.2019.10.015 · 2020 · External reference
Digital full-mouth reconstruction assisted by facial and intraoral scanners: a case report and technique description
10.3390/app13031917 · 2023 · External reference
An in-vitro study to assess the feasibility, validity and precision of capturing oncology facial defects with multimodal image fusion
10.1016/j.surge.2017.11.002 · 2018 · External reference
The virtual patient in daily orthodontics: matching intraoral and facial scans without cone beam computed tomography
10.3390/app12199870 · 2022 · External reference
Accuracy of a patient 3-dimensional virtual representation obtained from the superimposition of facial and intraoral scans guided by extraoral and intraoral scan body systems
10.1016/j.prosdent.2021.02.023 · 2022 · External reference
Validation of a novel AI ‐based automated multimodal image registration of CBCT and intraoral scan aiding presurgical implant planning
2024 · External reference
Automated orofacial virtual patient creation: a proof of concept
10.1016/j.jdent.2024.105387 · 2024 · External reference
The 4D virtual patient: a proof of concept in digital dentistry
2024 · External reference
Tracking and recording the lip dynamics for the integration of a dynamic virtual patient: a novel dental technique
10.1111/jopr.13567 · 2022 · External reference
Esthetic treatment planning with digital animation of the smile dynamics: a technique to create a 4-dimensional virtual patient
10.1016/j.prosdent.2020.10.015 · 2022 · External reference
Cancer risks following diagnostic and therapeutic radiation exposure in children
10.1007/s00247-006-0191-5 · 2006 · External reference
Parents' awareness of early orthodontic consultation: a cross-sectional study
10.3390/ijerph19031800 · 2022 · External reference
Pediatric CT—The challenge of dose records
10.1007/s00247-011-2161-9 · 2011 · External reference
Small field of view cone beam CT temporomandibular joint imaging dosimetry
10.1259/dmfr.20130082 · 2013 · External reference
Effective dose of dental CBCT—A meta analysis of published data and additional data for nine CBCT units
10.1259/dmfr.20140197 · 2015 · External reference
Cone-beam computed tomography in orthodontics
10.3390/dj7030089 · 2019 · External reference
3D cephalometry on reduced FOV CBCT: skeletal class assessment through AF-BF on frankfurt plane—validity and reliability through comparison with 2D measurements
10.1007/s00330-020-06905-7 · 2020 · External reference
Modern 3D cephalometry in pediatric orthodontics—downsizing the FOV and development of a new 3D cephalometric analysis within a minimized large FOV for dose reduction
10.1007/s00784-021-03779-x · 2021 · External reference
Image quality evaluation of small FOV and large FOV CBCT devices for oral and maxillofacial radiology
10.1259/dmfr.20160285 · 2017 · External reference
Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography
10.1016/j.jdent.2021.103786 · 2021 · External reference
Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:a validation study
10.1016/j.jdent.2022.104238 · 2022 · External reference
Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images
10.1007/s00784-022-04708-2 · 2022 · External reference
The accuracy of three-dimensional facial scan obtained from three different 3d scanners
2025 · External reference
Monitoring cone-beam CT radiation dose levels in a university hospital
10.1259/dmfr.20220213 · 2023 · External reference
The measurement of observer agreement for categorical data
10.2307/2529310 · 1977 · External reference
3-dimensional analysis of hard- and soft-tissue symmetry in a Chinese population
10.1186/s12903-023-03163-z · 2023 · External reference
CBCT-based bone quality assessment: are hounsfield units applicable?
10.1259/dmfr.20140238 · 2015 · External reference
Can gray values be converted to hounsfield units? A systematic review
10.1259/dmfr.20210140 · 2022 · External reference
Three-dimensional treatment planning of orthognathic surgery in the era of virtual imaging
10.1016/j.joms.2009.06.007 · 2009 · External reference
The precision of computer-generated surgical splints
10.1016/s0278-2391(03)00240-4 · 2003 · External reference
ALADAIP, beyond ALARA and towards personalized optimization for paediatric cone‐beam CT
10.1111/ipd.12797 · 2021 · External reference
National guidelines for dental diagnostic imaging in the developmental age
10.1007/s11547-019-01038-4 · 2019 · External reference
Effective radiation dose of ProMax 3D cone-beam computerized tomography scanner with different dental protocols, oral surgery, oral medicine, oral pathology
2010 · External reference
Effective dose range for dental cone beam computed tomography scanners
10.1016/j.ejrad.2010.11.028 · 2012 · External reference
Accuracy of facial scan registration: a comparison between full-cranium and reduced field-of-view cone-beam computed tomography
10.5624/isd.20250013 · 2025 · External reference