Research graph
References from Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone-beam tomography slices. Local targets link to admitted publications; unresolved targets remain external evidence.
Quantification of metal artifacts on cone beam computed tomography images
10.1111/j.1600-0501.2011.02382.x · 2013 · External reference
Cone beam computed tomography: basics and applications in dentistry
10.17096/jiufd.00289 · 2017 · External reference
Awareness of cone beam computed tomography use and radiation safety among dentists and specialists
10.1186/s12903-025-06754-0 · 2025 · External reference
Retrospective analysis of artifacts in CBCT images
10.3390/diagnostics13091511 · 2023 · External reference
Unresolved reference
2019 · External reference
Nuclear instruments and methods in physics research section A: accelerators, spectrometers, detectors and associated equipment
10.1016/j.nima.2024.169221 · 2024 · External reference
Metal artifact reduction by using mars system of a CBCT unit with different components of fixed orthodontic appliances: an in vitro CBCT analysis
10.1177/03015742231215870 · 2024 · External reference
Metal artifact reduction in dental CBCT images using direct sinogram correction combined with metal path-length weighting
10.3390/s23031288 · 2023 · External reference
Universal non-circular cone beam CT orbits for metal artifact reduction imaging during image-guided procedures
10.1038/s41598-024-77964-9 · 2024 · External reference
Cone beam computed tomography in oral implants
10.4103/0975-5950.117811 · 2013 · External reference
Efficacy of low-dose cone beam computed tomography and metal artifact reduction tool for assessment of peri-implant bone defects: an in vitro study
10.1186/s12903-022-02663-8 · 2022 · External reference
Role of tube current variation and metal artifact reduction tool in CBCT for detection of missing MB2 canal
10.1590/0103-644020256491 · 2025 · External reference
Metal artefact reduction with cone beam CT: an in vitro study
10.1259/dmfr/80899839 · 2012 · External reference
Metal artifact production and reduction in CBCT with different numbers of basis images
10.5624/isd.2018.48.1.41 · 2018 · External reference
Prevalence of artifacts in cone-beam computed tomography: a retrospective study
10.4103/jiaomr.jiaomr_142_22 · 2022 · External reference
Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography
10.1038/s41598-020-65644-3 · 2020 · External reference
Artificial intelligence for radiographic image quality: radiographers at the forefront
10.1002/jmrs.70050 · 2026 · External reference
Artificial intelligence for point of care radiograph quality assessment
10.1117/12.2513092 · 2019 · External reference
Artificial intelligence-powered quality assurance: transforming diagnostics, surgery, and patient care—innovations, limitations, and future directions
10.3390/life15040654 · 2025 · External reference
Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging
10.1002/mp.16361 · 2023 · External reference
Machine learning framework for automatic image quality evaluation involving a mammographic American College of Radiology phantom
10.1016/j.ejmp.2022.08.004 · 2022 · External reference
A review of deep transfer learning and recent advancements
10.3390/technologies11020040 · 2023 · External reference
Deep transfer learning using real-world image features for medical image classification, with a case study on pneumonia X-ray images
10.3390/bioengineering11040406 · 2024 · External reference
Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology
10.1038/s41598-025-05009-w · 2025 · External reference
A scoping review of transfer learning research on medical image analysis using ImageNet
10.1016/j.compbiomed.2020.104115 · 2021 · External reference
Artefacts in CBCT: a review
10.1259/dmfr/30642039 · 2011 · External reference
Medical image data augmentation: techniques, comparisons and interpretations
10.1007/s10462-023-10453-z · 2023 · External reference
10.1109/hsi52170.2021.9538782
10.1109/hsi52170.2021.9538782 · External reference
An introduction to ROC analysis
10.1016/j.patrec.2005.10.010 · 2006 · External reference
Common orthodontic appliances cause artifacts that degrade the diagnostic quality of CBCT images
10.1080/19424396.2007.12221294 · 2007 · External reference
Artifacts in CT: recognition and avoidance
10.1148/rg.246045065 · 2004 · External reference
Multi-detector CT imaging in the postoperative orthopedic patient with metal hardware
10.1016/j.ejrad.2006.08.008 · 2006 · External reference
Influence of CBCT-based volumetric distortion and beam hardening artefacts on the assessment of root canal filling quality in isthmus-containing molars
10.1259/dmfr.20200503 · 2021 · External reference
Cone beam CT scans with and without artefact reduction in root fracture detection of endodontically treated teeth
10.1259/dmfr.20120245 · 2013 · External reference
Cone-beam computed tomography artifacts in the presence of dental implants and associated factors: an integrative review
10.5624/isd.20200320 · 2021 · External reference
Quantitative evaluation of metal artifact reduction in CBCT under varying exposure modes and rod orientations
10.1038/s41598-025-08188-8 · 2025 · External reference
Performance of different cone-beam computed tomography scan modes with and without metal artifact reduction in detection of recurrent dental caries under various restorative materials
10.5114/pjr/188257 · 2024 · External reference
The impact of AI on metal artifacts in CBCT oral cavity imaging
10.3390/diagnostics14121280 · 2024 · External reference
PDS-MAR: a fine-grained projection-domain segmentation-based metal artifact reduction method for intraoperative CBCT images with guidewires
10.1088/1361-6560/ad00fc · 2023 · External reference
Advances in metal artifact reduction in CT images: a review of traditional and novel metal artifact reduction techniques
10.1016/j.ejrad.2023.111276 · 2024 · External reference
10.1109/cvpr.2009.5206848
10.1109/cvpr.2009.5206848 · External reference
10.1109/ccict65753.2025.00070
10.1109/ccict65753.2025.00070 · External reference
ResNet-50 vs. EfficientNet-B0: multi-centric classification of various lung abnormalities using deep learning
10.1016/j.procs.2024.04.007 · 2024 · External reference
Unresolved reference
External reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · 2018 · External reference
CNN-based remote dental diagnosis model for caries detection with grad-CAM
10.1038/s41598-025-11447-3 · 2025 · External reference
A fully automated method of human identification based on dental panoramic radiographs using a convolutional neural network
10.1259/dmfr.20210383 · 2022 · External reference
Dental age prediction from panoramic radiographs using machine learning techniques
10.1371/journal.pdig.0001077 · 2025 · External reference
The impact of scanner domain shift on deep learning performance in medical imaging: an experimental study
10.1007/s11548-026-03655-7 · 2026 · External reference
