Dentomaxillofacial Radiology

Papers
(The median citation count of Dentomaxillofacial Radiology is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Comparison of the image quality and radiation dose of different scanning modes in head-neck CT angiography94
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles71
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions66
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study58
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models55
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study54
MRI-based cephalometrics: a scoping review of current insights and future perspectives51
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism35
Near-infrared reflection at 780 nm for detection of early proximal caries in posterior permanent teeth in vitro35
CBCT in dental age estimation: A systematic review and meta analysis32
Deep learning for automated detection and numbering of permanent teeth on panoramic images32
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning31
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis30
Imaging characteristics of sublingual gland herniation on CT and MRI29
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose28
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence28
Estimation of the radiation dose for dental spectral cone-beam CT27
Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study26
Detection of vertical root fractures by cone-beam computed tomography based on deep learning26
Radiographic changes in the temporomandibular joint related to medication in rheumatic diseases26
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases25
Automated detection of dental restorations using deep learning on panoramic radiographs25
A simple graded bite block for dynamic magnetic resonance imaging of the temporomandibular joint25
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone25
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound23
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses23
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?23
A semi-automatic approach for longitudinal 3D upper airway analysis using voxel-based registration23
Deep learning for automated detection and numbering of permanent teeth on panoramic images23
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems22
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images22
Microleakage beneath orthodontic brackets in high field magnetic resonance imaging (MRI) AT 1.5 & 3 Tesla21
3D-printed Model for Preclinical Training in Oral Radiology: Anatomic and Pathological Conditions20
Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint20
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 diagn20
The empirical formula for calculating the incident air Kerma in intraoral radiographic imaging18
In vitro assessment of periapical lesions created in sheep mandibles by using high resolution ultrasonography and cone beam computed tomography18
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study18
Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences18
Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study17
Value of contrast-enhanced ultrasound in predicting early lymph-node metastasis in oral cancer17
Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles16
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods16
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time16
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study15
Human examination and artificial intelligence in cephalometric landmark detection—is AI ready to take over?15
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational study15
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network15
Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study15
Effective dose estimation in cone-beam computed tomography for dental use by Monte-Carlo simulation optimizing calculation numbers using a step-and-shoot method15
CBCT image artefacts generated by implants located inside the field of view or in the exomass14
Zirconia implants interfere with the evaluation of peri-implant bone defects in cone beam computed tomography (CBCT) images even with artifact reduction, a pilot study14
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility14
Development and validation of a new formula for sex estimation based on multislice computed tomographic measurements of maxillary and frontal sinuses among Brazilian adults14
Comprehensive assessment of primary and secondary low bone mass using dual-energy X-ray absorptiometry and cone beam CT—a cross-sectional study14
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs14
Investigation of the effect of thyroid collar, radiation safety glasses, and lead apron on radiation dose in cone beam CT13
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging13
Development of automatic landmark identification for mandible using curvature-based registration12
Peracetic acid efficacy on disinfection of photostimulable phosphor plates12
A nomogram incorporating clinical, conventional ultrasound and shear wave elastography findings for distinguishing pleomorphic adenoma from Warthin’s tumor of the major salivary glands12
Three-dimensional radiological anatomy of condyle trabecular bone based on a Volume-of-Interest analysis11
Aging and dental loss impact on the cortical base resorption of the mandibular bone as a confounding bias in a radio-morphometric analysis using panoramic radiographs11
Benefits of using a photostimulable phosphor plate protective device11
Treatment outcomes and time to healing of medication-related osteonecrosis of the jaw based on image findings11
Diagnostic image quality of hand-held and wall-mounted X-ray devices in bitewing radiography: a non-inferiority clinical trial11
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study10
Observer agreement of imaging measurements used for evaluation of dentofacial deformity in juvenile idiopathic arthritis10
Parotid gland evaluation of menopausal women with xerostomia using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method of MRI: a pilot study10
Factors affecting interpretation of dental radiographs10
Reproducibility and diagnostic value of a new wedge-guided bitewing image receptor-holding device10
Investigation of the accessory maxillary ostium: a congenital variation or acquired defect?10
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography10
In vitro comparison of high-resolution USG, CBCT, and direct measurements of periodontal defects10
The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model10
DMAF-Net: deformable multi-scale adaptive fusion network for dental structure detection with panoramic radiographs10
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis10
Fractal analysis of the trabecular bone pattern in the presence/absence of metal artifact–producing objects: Comparison of cone-beam computed tomography with panoramic and periapical radiography10
Bone quality assessment around dental implants in cone-beam CT images: effect of rotation mode and metal artefact reduction tool10
Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw? A review10
An ultrasound protocol for temporomandibular joint in juvenile idiopathic arthritis: a pilot study9
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs9
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma9
A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study9
Third molar position after completion of orthodontic treatment: a prospective follow-up9
Diagnostic efficacy of CBCT, MRI and CBCT–MRI fused images in determining anterior disc displacement and bone changes of temporomandibular joint9
Facial vascular visualization enhancement based on optical detection technology9
Does the shape of the field-of-view influence the magnitude of artefacts from high-density materials in cone-beam computed tomography?9
How does the clinical and tomographic appearance of MRONJ influences its treatment prognosis?9
Application of deep learning in teeth identification tasks on panoramic radiographs8
Assessment of mandibular landmark specification: correspondence between 2-dimensional radiography and 3-dimensional computed tomography8
Panoramic imaged carotid atheromas are associated with increased neutrophil count: both validated, independent predictors of near-term myocardial infarction8
The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing8
Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report8
Viewing patterns regarding panoramic radiographs with different pathological lesions: an eye-tracking study8
Assessment of lower third molar space: A comparative radiographic study8
Cephalometric tracing: comparing artificial intelligence and augmented intelligence on online platforms8
Letter to the editor8
As low as diagnostically acceptable dose imaging in maxillofacial trauma: a reference quality approach8
Frontal sinuses as tools for human identification: a systematic review of imaging methods8
Influence of examiner calibration on clinical and MRI diagnosis of temporomandibular joint disc displacement: a systematic review and meta-analysis8
Effects of differences in pixel size on image characteristics of digital intraoral radiographic systems: a physical and visual evaluation7
The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs7
Harmonization of robust radiomic features in the submandibular gland using multi-ultrasound systems: a preliminary study7
Striving to include the most recent trends and innovations, while also honouring our past7
Metal artifact reduction using common dental materials7
Accuracy of upper airway volume measurements using different software products: a comparative analysis7
The outcome of an automated assessment of trabecular pattern in intraoral radiographs as a fracture risk predictor7
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images7
Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning7
Convolutional neural network-based automatic cervical vertebral maturation classification method7
Enhanced multistage deep learning for diagnosing anterior disc displacement in the temporomandibular joint using MRI7
Current applications and development of artificial intelligence for digital dental radiography6
Artificial intelligence and infrared thermography as auxiliary tools in the diagnosis of temporomandibular disorder6
Dental Imaging in Singapore: A Survey of 2D Radiographic Techniques and CBCT Practices6
Imaging findings of arrested pneumatisation and differentiation from other skull base lesions6
Determination of a cone-beam CT low-dose protocol for root fracture diagnosis in non-endodontically treated anterior maxillary teeth6
Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence6
Ability of upper airway metrics to predict obstructive sleep apnea severity: a systematic review6
Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children6
Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging6
How well do large language model-based chatbots perform in oral and maxillofacial radiology?6
Letter to the editors on “An extensive sclerosing odontogenic carcinoma in mandible: a case report and literature review”6
Accuracy of high-resolution ultrasound (US) for gingival soft tissue thickness mesurement in edentulous patients prior to implant placement6
The relationship between the uptake of alveolar bone inflammation and of cervical lymph nodes on fluoro-2-deoxy-D-glucose positron emission tomography6
In vitro evaluation of the accuracy of electronic apex locators and cone-beam CT in the detection of oblique root fractures6
Deep learning for detecting periapical bone rarefaction in panoramic radiographs: a systematic review and critical assessment6
The impact of CBCT-head tilting on 3D condylar segmentation reproducibility6
Computed tomography imaging superimposition protocols to assess outcomes in orthognathic surgery: a systematic review with comprehensive recommendations6
Artificial intelligence will change the research environment in dental medicine dramatically: will algorithms replace literature reviews in the near future?6
New scenarios for training in oral radiology: clinical performance and predoctoral students' perception of 3D-printed mannequins6
Magnetic resonance imaging in the diagnosis of periodontal and periapical disease6
Impact of cone beam CT on diagnosis of external cervical resorption: the severity of resorption assessed in periapical radiographs and cone beam CT. A prospective clinical study6
Does cone beam CT change the treatment decision for maxillary second and third molars? A prospective study6
Influence of size of field of view (FOV), position within the FOV, and scanning mode on the detection of root fracture and observer’s perception of artifacts in CBCT images6
Radiological features of central giant cell granuloma: comparative study of 7 cases and literature review5
Calcifying odontogenic cysts: A 20-year retrospective clinical and radiological review5
Preoperative evaluation of lingual cortical plate thickness and the anatomical relationship of the lingual nerve to the lingual cortical plate via 3T MRI nerve-bone fusion5
Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis5
Influence of artefacts generated by titanium and zirconium implants in the study of trabecular bone architecture in cone-beam CT images5
Three-dimensional mapping of the greater palatine artery location and physiology5
Deep learning in the diagnosis for cystic lesions of the jaws: a review of recent progress5
Enhanced CT-based texture analysis and radiomics score for differentiation of pleomorphic adenoma, basal cell adenoma, and Warthin tumor of the parotid gland5
The relationship of masseter muscle thickness with face morphology and parafunctional habits: an ultrasound study5
Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study5
Correction to Great potential of ultrasound elastography for the assessment of the masseter muscle in patients with temporomandibular disorders. A systematic review4
MRI susceptibility artefacts caused by orthodontic wire4
Ambient light exposure of photostimulable phosphor plates: is there a safe limit for acceptable image quality?4
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology4
Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation4
Quantitative analysis of zirconia and titanium implant artefacts in three-dimensional virtual models of multi-slice CT and cone beam CT: does scan protocol matter?4
Effect of metal artefact reduction level on the assessment of dental implant positioning by cone-beam computed tomography4
Comparison of surface- and voxel-based registration on the mandibular ramus for long-term three-dimensional assessment of condylar remodelling following orthognathic surgery4
Automatic detection of posterior superior alveolar artery in dental cone-beam CT images using a deeply supervised multi-scale 3D network4
The role of deep learning for periapical lesion detection on panoramic radiographs4
Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis4
Does cone-beam CT convex triangular field of view influence the image shape distortion of high-density materials?4
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett’s analysis: can we trust a bot to do that?4
Effects of hyperlipidemia on trabecular and cortical structures of the mandible4
Maximum and mean standardized uptake values of medication-related osteonecrosis of the jaw with bone SPECT/CT: comparison of mandibular pathologies, control and temporomandibular joints4
Radiomics in bone pathology of the jaws3
Clinical application of a modified image receptor-holding device to reduce proximal surfaces overlapping in bitewing radiography3
Prediction of accessory canals on the apical third of mandibular second molar based on micro-computed tomography3
Automated detection of cephalometric landmarks using deep neural patchworks3
Sonographic features of various dental materials and foreign bodies3
Performance of panoramic radiography compared with computed tomography in the evaluation of pathological changes in the maxillary sinuses: a systematic review and meta-analysis3
Application of deep learning for detection of nasal bone fracture on X-ray nasal bone lateral view3
An attempt to generate panoramic radiographs including jaw cysts using StyleGAN33
Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews3
Accuracy of MRI, CT, and Ultrasound imaging on thickness and depth of oral primary carcinomas invasion: a systematic review3
A novel technique to quantify bone-to-implant contact of zygomatic implants: a radiographic analysis based on three-dimensional image registration and segmentation3
Deep learning in the diagnosis of maxillary sinus diseases: a systematic review3
Increased rate of pseudarthrosis in the anterior intersegmental gap after mandibular reconstruction with fibula free flaps: a volumetric analysis3
Application of metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device–tooth root contact: inadequate to reduce false-positive rate3
Three-dimensional verification of the radiographic visibility of the root pulp used for forensic age estimation in mandibular third molars3
Can super resolution via deep learning improve classification accuracy in dental radiography?3
Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review3
Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey3
Prevalence of calcified epiglottis in postmortem computed tomography. Is there a correlation to failed endotracheal intubation?3
Is jaw fractal dimension a reliable biomarker for osteoporosis screening? A systematic review and meta-analysis of diagnostic test accuracy studies3
An artificial intelligence grading system of apical periodontitis in cone-beam computed tomography data3
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