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 2021-09-01 to 2025-09-01.)
ArticleCitations
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles113
Near-infrared reflection at 780 nm for detection of early proximal caries in posterior permanent teeth in vitro77
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models76
MRI-based cephalometrics: a scoping review of current insights and future perspectives65
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions64
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism62
Deep learning for automated detection and numbering of permanent teeth on panoramic images40
CBCT in dental age estimation: A systematic review and meta analysis36
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study34
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning34
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose31
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study31
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis31
Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study30
Automated detection of dental restorations using deep learning on panoramic radiographs29
Imaging characteristics of sublingual gland herniation on CT and MRI29
Detection of vertical root fractures by cone-beam computed tomography based on deep learning28
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence28
Radiographic changes in the temporomandibular joint related to medication in rheumatic diseases28
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses27
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone27
A semi-automatic approach for longitudinal 3D upper airway analysis using voxel-based registration26
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?26
A simple graded bite block for dynamic magnetic resonance imaging of the temporomandibular joint26
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases26
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound26
Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint25
Microleakage beneath orthodontic brackets in high field magnetic resonance imaging (MRI) AT 1.5 & 3 Tesla24
3D-printed model for preclinical training in oral radiology: anatomic and pathological conditions24
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 diagn24
Deep learning for automated detection and numbering of permanent teeth on panoramic images23
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems21
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images21
Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences21
Effective dose estimation in cone-beam computed tomography for dental use by Monte-Carlo simulation optimizing calculation numbers using a step-and-shoot method20
Human examination and artificial intelligence in cephalometric landmark detection—is AI ready to take over?20
Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles20
The empirical formula for calculating the incident air Kerma in intraoral radiographic imaging20
In vitro assessment of periapical lesions created in sheep mandibles by using high resolution ultrasonography and cone beam computed tomography18
Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study18
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study18
Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study17
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods17
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network17
Value of contrast-enhanced ultrasound in predicting early lymph-node metastasis in oral cancer17
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time17
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational study16
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs15
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility15
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging15
Development and validation of a new formula for sex estimation based on multislice computed tomographic measurements of maxillary and frontal sinuses among Brazilian adults15
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study14
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
Investigation of the effect of thyroid collar, radiation safety glasses, and lead apron on radiation dose in cone beam CT13
Ageing and dental loss impact on the cortical base resorption of the mandibular bone as a confounding bias in a radio-morphometric analysis using panoramic radiographs13
Comprehensive assessment of primary and secondary low bone mass using dual-energy X-ray absorptiometry and cone beam CT—a cross-sectional study13
CBCT image artefacts generated by implants located inside the field of view or in the exomass13
Treatment outcomes and time to healing of medication-related osteonecrosis of the jaw based on image findings12
Peracetic acid efficacy on disinfection of photostimulable phosphor plates12
Three-dimensional radiological anatomy of condyle trabecular bone based on a Volume-of-Interest analysis12
Benefits of using a photostimulable phosphor plate protective device12
A nomogram incorporating clinical, conventional ultrasound and shear wave elastography findings for distinguishing pleomorphic adenoma from Warthin’s tumor of the major salivary glands12
DMAF-Net: deformable multi-scale adaptive fusion network for dental structure detection with panoramic radiographs12
Development of automatic landmark identification for mandible using curvature-based registration12
Investigation of the accessory maxillary ostium: a congenital variation or acquired defect?11
The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model11
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 study11
Bone quality assessment around dental implants in cone-beam CT images: effect of rotation mode and metal artefact reduction tool11
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study11
Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw? A review11
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography11
Reproducibility and diagnostic value of a new wedge-guided bitewing image receptor-holding device11
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis10
Third molar position after completion of orthodontic treatment: a prospective follow-up10
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
Factors affecting interpretation of dental radiographs10
A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study10
Facial vascular visualization enhancement based on optical detection technology10
Observer agreement of imaging measurements used for evaluation of dentofacial deformity in juvenile idiopathic arthritis10
In vitro comparison of high-resolution USG, CBCT, and direct measurements of periodontal defects10
How does the clinical and tomographic appearance of MRONJ influences its treatment prognosis?10
Artificial intelligence-based fully automatic 3D paranasal sinus segmentation10
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs9
Assessment of lower third molar space: A comparative radiographic study9
An ultrasound protocol for temporomandibular joint in juvenile idiopathic arthritis: a pilot study9
Cephalometric tracing: comparing artificial intelligence and augmented intelligence on online platforms9
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma9
Panoramic imaged carotid atheromas are associated with increased neutrophil count: both validated, independent predictors of near-term myocardial infarction9
Does the shape of the field-of-view influence the magnitude of artefacts from high-density materials in cone-beam computed tomography?8
Assessment of mandibular landmark specification: correspondence between 2-dimensional radiography and 3-dimensional computed tomography8
Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report8
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images8
Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning8
The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing8
Striving to include the most recent trends and innovations, while also honouring our past8
The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs8
As low as diagnostically acceptable dose imaging in maxillofacial trauma: a reference quality approach8
Letter to the editor8
Diagnostic efficacy of CBCT, MRI and CBCT–MRI fused images in determining anterior disc displacement and bone changes of temporomandibular joint8
Influence of examiner calibration on clinical and MRI diagnosis of temporomandibular joint disc displacement: a systematic review and meta-analysis8
Application of deep learning in teeth identification tasks on panoramic radiographs8
Viewing patterns regarding panoramic radiographs with different pathological lesions: an eye-tracking study8
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
Convolutional neural network-based automatic cervical vertebral maturation classification method7
Current applications and development of artificial intelligence for digital dental radiography7
Ability of upper airway metrics to predict obstructive sleep apnea severity: a systematic review7
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 images7
Effects of differences in pixel size on image characteristics of digital intraoral radiographic systems: a physical and visual evaluation7
Metal artifact reduction using common dental materials7
The relationship between the uptake of alveolar bone inflammation and of cervical lymph nodes on fluoro-2-deoxy-D-glucose positron emission tomography7
Dental imaging in Singapore: a survey of 2D radiographic techniques and CBCT practices7
Enhanced multistage deep learning for diagnosing anterior disc displacement in the temporomandibular joint using MRI7
Harmonization of robust radiomic features in the submandibular gland using multi-ultrasound systems: a preliminary study7
The impact of CBCT-head tilting on 3D condylar segmentation reproducibility7
Deep learning for detecting periapical bone rarefaction in panoramic radiographs: a systematic review and critical assessment7
In vitro evaluation of the accuracy of electronic apex locators and cone-beam CT in the detection of oblique root fractures7
Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children7
Determination of a cone-beam CT low-dose protocol for root fracture diagnosis in non-endodontically treated anterior maxillary teeth6
Artificial intelligence and infrared thermography as auxiliary tools in the diagnosis of temporomandibular disorder6
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
New scenarios for training in oral radiology: clinical performance and predoctoral students' perception of 3D-printed mannequins6
Letter to the editors on “An extensive sclerosing odontogenic carcinoma in mandible: a case report and literature review”6
Enhanced CT-based texture analysis and radiomics score for differentiation of pleomorphic adenoma, basal cell adenoma, and Warthin tumor of the parotid gland6
Does cone beam CT change the treatment decision for maxillary second and third molars? A prospective study6
Artificial intelligence will change the research environment in dental medicine dramatically: will algorithms replace literature reviews in the near future?6
Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence6
Machine Learning Algorithms Enhance the Accuracy of Radiographic Diagnosis of Dental Caries: A Comparative Study6
Magnetic resonance imaging in the diagnosis of periodontal and periapical disease6
Computed tomography imaging superimposition protocols to assess outcomes in orthognathic surgery: a systematic review with comprehensive recommendations6
How well do large language model-based chatbots perform in oral and maxillofacial radiology?6
Analysis of noise characteristics in intraoral X-ray sensors using the Noise-Power Spectrum and non-parametric metrics from diagnostic imaging6
Influence of artefacts generated by titanium and zirconium implants in the study of trabecular bone architecture in cone-beam CT images6
Imaging findings of arrested pneumatisation and differentiation from other skull base lesions6
Maximum and mean standardized uptake values of medication-related osteonecrosis of the jaw with bone SPECT/CT: comparison of mandibular pathologies, control and temporomandibular joints5
Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study5
The relationship of masseter muscle thickness with face morphology and parafunctional habits: an ultrasound study5
Calcifying odontogenic cysts: A 20-year retrospective clinical and radiological review5
Three-dimensional mapping of the greater palatine artery location and physiology5
The role of deep learning for periapical lesion detection on panoramic radiographs5
Comparisons of artificial intelligence automated segmentation techniques to manual segmentation techniques of the maxilla and maxillary sinus for CT or cone-beam CT scans—a systematic review5
Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis5
Deep learning in the diagnosis for cystic lesions of the jaws: a review of recent progress5
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
Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation5
Comparison of surface- and voxel-based registration on the mandibular ramus for long-term three-dimensional assessment of condylar remodelling following orthognathic surgery4
Deep learning in the diagnosis of maxillary sinus diseases: a systematic review4
Correction to Great potential of ultrasound elastography for the assessment of the masseter muscle in patients with temporomandibular disorders. A systematic review4
Effects of hyperlipidemia on trabecular and cortical structures of the mandible4
Does cone-beam CT convex triangular field of view influence the image shape distortion of high-density materials?4
Automatic detection of posterior superior alveolar artery in dental cone-beam CT images using a deeply supervised multi-scale 3D network4
Effect of metal artefact reduction level on the assessment of dental implant positioning by cone-beam computed tomography4
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
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
Increased rate of pseudarthrosis in the anterior intersegmental gap after mandibular reconstruction with fibula free flaps: a volumetric analysis4
MRI susceptibility artefacts caused by orthodontic wire4
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
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett’s analysis: can we trust a bot to do that?4
Application of metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device–tooth root contact: inadequate to reduce false-positive rate3
The impact of cone beam CT on outcomes associated with endodontic access cavity preparation: a controlled human analogue study using 3D-printed first maxillary molars3
Impact of double reading on NI-RADS diagnostic accuracy in reporting oral squamous cell carcinoma surveillance imaging – a single-center study3
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
Three-dimensional verification of the radiographic visibility of the root pulp used for forensic age estimation in mandibular third molars3
The magnetic resonance imaging characteristics of radicular cysts and granulomas3
Sonographic features of various dental materials and foreign bodies3
Validation of different protocols of inferior alveolar canal tracing using cone beam computed tomography (CBCT)3
Can super resolution via deep learning improve classification accuracy in dental radiography?3
Is jaw fractal dimension a reliable biomarker for osteoporosis screening? A systematic review and meta-analysis of diagnostic test accuracy studies3
Prediction of accessory canals on the apical third of mandibular second molar based on micro-computed tomography3
An attempt to generate panoramic radiographs including jaw cysts using StyleGAN33
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems—part 2: a subjective assessment3
Application of deep learning for detection of nasal bone fracture on X-ray nasal bone lateral view3
Measurement of radiation dose and analysis of dose distribution in the thyroid and eye lens during digital panoramic tomography3
Clinical application of a modified image receptor-holding device to reduce proximal surfaces overlapping in bitewing radiography3
An artificial intelligence grading system of apical periodontitis in cone-beam computed tomography data3
Performance of panoramic radiography compared with computed tomography in the evaluation of pathological changes in the maxillary sinuses: a systematic review and meta-analysis3
Detection of unilateral and bilateral cleft alveolus on panoramic radiographs using a deep-learning system3
Automated detection of cephalometric landmarks using deep neural patchworks3
Correlation among alveolar bone assessments provided by CBCT, micro-CT, and 14 T MRI3
Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews3
Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review3
Radiomics in bone pathology of the jaws3
Carotid calcifications in panoramic radiographs can predict vascular risk3
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