Research graph
References from Evaluation of artificial intelligence in 3D dental imaging: A comprehensive review of segmentation, registration, and soft-tissue prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
Applications of artificial intelligence in dentistry: a comprehensive review
10.1111/jerd.12844 · 2022 · External reference
Deep learning method for mandibular canal segmentation in dental cone beam computed tomography volumes
10.1038/s41598-020-62321-3 · 2020 · External reference
Deep learning for automated mandibular canal segmentation in CBCT scans
10.1186/s12903-025-07098-5 · 2025 · External reference
Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D U-Net based segmentation framework
10.1186/s12903-023-03279-2 · 2023 · External reference
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
10.1038/s41598-022-20605-w · 2022 · External reference
Automatic jawbone structure segmentation on dental CBCT images via deep learning
10.1007/s00784-024-06061-y · 2024 · External reference
A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
10.1038/s41467-022-29637-2 · 2022 · External reference
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
10.1093/dmfr/twae012 · 2024 · External reference
Intra-oral scan segmentation using deep learning
10.1186/s12903-023-03362-8 · 2023 · External reference
Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans
2022 · External reference
A 3D dental model dataset with pre- and post-orthodontic treatment for automatic tooth alignment
10.1038/s41597-024-04138-7 · 2024 · External reference
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
10.1016/j.patter.2023.100825 · 2023 · External reference
Automatic registration between cone-beam computed tomography and intraoral scan data supported by 3D segmentation
10.3390/bioengineering10111326 · 2023 · External reference
Accuracy of facial scan registration: comparison between full-cranium and reduced field-of-view CBCT
10.5624/isd.20250013 · 2025 · External reference
Automatic 3D registration of dental CBCT and face scan data using 2D projection images
2024 · External reference
Generalizability of deep learning models for dental image analysis
10.1038/s41598-021-85454-5 · 2021 · External reference
AI-generated vs traditional STL models in CBCT imaging: a pilot study
2025 · External reference
Development of artificial intelligence systems to predict facial morphology after orthognathic surgery
10.1038/s41598-021-95002-w · 2021 · External reference
Accuracy of artificial intelligence in predicting facial changes post-orthognathic surgery
10.4317/jced.61500 · 2024 · External reference
Performance of artificial intelligence using CBCT for segmentation of oral and maxillofacial structures: a systematic review and meta-analysis
10.4317/jced.60287 · 2023 · External reference
Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis
10.1186/s12903-025-05984-6 · 2025 · External reference
Deep learning-based prediction of 3D postorthodontic facial changes
10.1177/00220345221106676 · 2022 · External reference
Accuracy of artificial intelligence in detection and segmentation of oral and maxillofacial structures using CBCT: a systematic review
10.5114/pjr.2023.127624 · 2023 · External reference
Machine learning in dentistry: a scoping review
10.3390/jcm12030937 · 2023 · External reference
AI techniques for cone beam computed tomography in dentistry
2023 · External reference
Assessment of efficacy and accuracy of segmentation methods in dentomaxillofacial imaging
2024 · External reference
Application of artificial intelligence for tooth segmentation in CBCT images: a systematic review
10.3390/app14146298 · 2024 · External reference
Data requirements for AI-based prediction of soft tissue changes after orthognathic surgery
10.2319/010125-1 · 2025 · External reference
Open deep learning-based framework for tooth instance segmentation in dental CBCT
10.1007/s00784-025-06578-w · 2025 · External reference
Fully automatic AI segmentation of oral surgery-related tissues based on CBCT
10.1038/s41368-024-00294-z · 2024 · External reference
The application of deep learning on CBCT in dentistry
10.3390/diagnostics13122056 · 2023 · External reference
Automatic multi-anatomical skull structure segmentation of CBCT scans using 3D UNETR
10.1371/journal.pone.0275033 · 2022 · External reference
Mandible segmentation of dental CBCT scans affected by metal artifacts
10.3390/jpm11060560 · 2021 · External reference
Convolutional neural network for automatic maxillary sinus segmentation on CBCT
10.1038/s41598-022-11483-3 · 2022 · External reference
Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses in CBCT
10.1186/s12903-023-03607-6 · 2023 · External reference
AI-based automatic segmentation of craniomaxillofacial anatomy from CBCT
10.1038/s41598-022-15920-1 · 2022 · External reference
Deep learning models for automatic upper airway segmentation
10.3390/bioengineering10080915 · 2023 · External reference
Artificial intelligence in CBCT airway analysis: a systematic review
10.3390/life12111894 · 2022 · External reference
Deep learning for detection and 3D segmentation of maxillofacial bone lesions in CBCT
10.1007/s00330-023-09726-6 · 2023 · External reference
Automatic segmentation of ameloblastoma on CT images using deep learning
10.1186/s12903-023-03587-7 · 2024 · External reference
TSGCNet: discriminative geometric feature learning for 3D dental model segmentation
2021 · External reference
Two-stage mesh deep learning for automated tooth segmentation on intraoral scans
10.1109/tmi.2022.3180343 · 2022 · External reference
Clinically applicable system for 3D teeth segmentation in intraoral scans
2020 · External reference
TeethGNN: semantic 3D teeth segmentation with graph neural networks
10.1109/tvcg.2022.3153501 · 2023 · External reference
TSegFormer: 3D tooth segmentation in intraoral scans with geometry-guided transformer
2023 · External reference
A full-set tooth segmentation model based on improved PointNet++
10.1007/s44267-023-00026-7 · 2023 · External reference
3D dental mesh segmentation using graph-transformer networks
2023 · External reference
Mask-MCNet: instance segmentation in 3D point clouds of intra-oral scans
2019 · External reference
Convolutional neural network for automated tooth segmentation on intraoral scans
10.1186/s12903-024-04582-2 · 2024 · External reference
Reliability of automatic finish line detection for tooth preparation
10.2186/jpr.jpr_d_21_00344 · 2023 · External reference
Artificial intelligence in prosthodontics and oral implantology
10.36348/gajdoh.2023.v05i02.001 · 2023 · External reference
Learning-based CBCT–IOS registration with PointNet++ and SVD
2022 · External reference
Color point cloud registration algorithm based on hue
10.3390/app11125431 · 2021 · External reference
AI-enabled automatic multimodal fusion of CBCT and intraoral scans
2022 · External reference
Detection accuracy of an AI platform for dental treatment features on panoramic radiographs: Tooth- and patient-level analyses
2025 · External reference
Soft tissue prediction in orthognathic surgery
10.1371/journal.pone.0294640 · 2023 · External reference
Physics-informed neural network estimation of soft tissue properties
10.1007/s00466-024-02516-x · 2025 · External reference
A review of tooth AI segmentation on medical data
10.1007/s44352-025-00021-2 · 2025 · External reference
Volumetric analysis of simulated bone defects using CBCT and intraoral scanners
10.1038/s41598-025-31257-x · 2025 · External reference
