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 2022-05-01 to 2026-05-01.)
ArticleCitations
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study80
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles49
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism46
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions45
MRI-based cephalometrics: a scoping review of current insights and future perspectives45
Diagnosis of nasopalatine duct and nasopalatine duct cyst in CBCT images: a radiomics-based machine learning approach44
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models40
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study40
Impact of rubber dam thickness on image quality parameters in photostimulable phosphor plates39
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning38
CBCT in dental age estimation: A systematic review and meta analysis37
Detection of vertical root fractures by cone-beam computed tomography based on deep learning36
When to perform cone beam computed tomography (CBCT) in primary root canal treatment? A CBCT-based cross-sectional study on the prevalence of MB2 canal in maxillary first molars36
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose35
Imaging characteristics of sublingual gland herniation on CT and MRI34
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis33
Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection33
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence32
Automated detection of dental restorations using deep learning on panoramic radiographs32
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone32
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses31
Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university31
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases31
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound29
Deep learning for automated detection and numbering of permanent teeth on panoramic images25
Microleakage beneath orthodontic brackets in high field magnetic resonance imaging (MRI) AT 1.5 & 3 Tesla24
Assessing the accuracy of multiple-choice questions using different artificial intelligence-driven tools—an observational study24
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images23
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 diagn23
Detection of dental restorations and prosthesis devices in panoramic dental X-ray using fast region-based convolutional neural network22
3D-printed model for preclinical training in oral radiology: anatomic and pathological conditions22
Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint22
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?21
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems21
Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences21
Performance and clinical applicability of AI models for jawbone lesion classification: a systematic review with meta-analysis and introduction of a clinical interpretation score21
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study20
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods20
Dose optimization in CBCT in dentistry: a survey among EADMFR members19
Does the disinfection of a photostimulable phosphor plate receptor with peracetic acid impair carious lesions diagnosis?19
Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles18
Human examination and artificial intelligence in cephalometric landmark detection—is AI ready to take over?18
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time18
A pilot study on the detection of proximal caries in permanent anterior human teeth using lateral short-wave infrared transillumination at 1300 nm18
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network17
Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study17
Radiomic texture mapping improves visualization of simulated condylar bone lesions in cone beam computed tomography15
Correlation between temporomandibular joint space and different degrees of anterior disc displacement: a systematic review15
Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study15
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging15
Investigation of the effect of thyroid collar, radiation safety glasses, and lead apron on radiation dose in cone beam CT14
Cleaning of photostimulable phosphor plates with chlorhexidine-based substances does not affect image quality of radiographs14
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study13
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility13
Comprehensive assessment of primary and secondary low bone mass using dual-energy X-ray absorptiometry and cone beam CT—a cross-sectional study13
Zirconia implants interfere with the evaluation of peri-implant bone defects in cone beam computed tomography (CBCT) images even with artifact reduction, a pilot study13
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational study13
Automating virtual dental implant planning: can artificial intelligence match clinical expertise?12
Development of automatic landmark identification for mandible using curvature-based registration12
A novel cross-attentive network for classifying cervical metastatic lymph nodes on B- and D-mode ultrasound images in oral squamous cell carcinoma12
Treatment outcomes and time to healing of medication-related osteonecrosis of the jaw based on image findings12
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 radiographs12
Three-dimensional radiological anatomy of condyle trabecular bone based on a Volume-of-Interest analysis12
DMAF-Net: deformable multi-scale adaptive fusion network for dental structure detection with panoramic radiographs11
Peracetic acid efficacy on disinfection of photostimulable phosphor plates11
A nomogram incorporating clinical, conventional ultrasound and shear wave elastography findings for distinguishing pleomorphic adenoma from Warthin’s tumor of the major salivary glands11
Detection of misfits at the abutment-crown interface: comparison between stationary intraoral tomosynthesis and periapical radiography acquired with different vertical angulations11
Observer agreement of imaging measurements used for evaluation of dentofacial deformity in juvenile idiopathic arthritis10
Bone quality assessment around dental implants in cone-beam CT images: effect of rotation mode and metal artefact reduction tool10
The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model10
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
In vitro comparison of high-resolution USG, CBCT, and direct measurements of periodontal defects10
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study10
Artificial intelligence-based fully automatic 3D paranasal sinus segmentation10
Carotid artery calcifications on panoramic radiographs are associated with vascular disease severity on carotid ultrasound10
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma9
Factors affecting interpretation of dental radiographs9
A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study9
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography9
Quantitative assessment of condylar bone changes in osteoarthritis patients using single-photon emission computed tomography/computed tomography and magnetic resonance imaging9
Third molar position after completion of orthodontic treatment: a prospective follow-up9
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis9
Facial vascular visualization enhancement based on optical detection technology9
Influence of tube current, sharpening filters, and metal artefact-reducing filters on the diagnosis in the cone-beam computed tomographic diagnosis of carious lesion9
Assessment of lower third molar space: A comparative radiographic study8
Assessment of vertical magnification ratios in digital panoramic radiography using phantoms: evaluation of DICOM metadata and calibration consistency8
Cephalometric tracing: comparing artificial intelligence and augmented intelligence on online platforms8
How does the clinical and tomographic appearance of MRONJ influences its treatment prognosis?8
Does the shape of the field-of-view influence the magnitude of artefacts from high-density materials in cone-beam computed tomography?8
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs8
As low as diagnostically acceptable dose imaging in maxillofacial trauma: a reference quality approach7
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images7
The effect of a deep-learning tool on dentists’ performances in detecting apical radiolucencies on periapical radiographs7
The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing7
Assessment of mandibular landmark specification: correspondence between 2-dimensional radiography and 3-dimensional computed tomography7
Cone-beam computed tomography-based grading system for oropharyngeal airway narrowing: a novel diagnostic framework for multidisciplinary clinical use7
Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report7
Striving to include the most recent trends and innovations, while also honouring our past7
Influence of examiner calibration on clinical and MRI diagnosis of temporomandibular joint disc displacement: a systematic review and meta-analysis7
Application of deep learning in teeth identification tasks on panoramic radiographs7
Micronucleus formation in oral mucosal cells following dental X-ray exposure: a systematic review and meta-analysis7
Detection and classification of mandibular fractures in panoramic radiography using artificial intelligence6
Artificial intelligence will change the research environment in dental medicine dramatically: will algorithms replace literature reviews in the near future?6
Converting dose-area product to effective dose in dental cone-beam computed tomography using organ-specific deep learning6
The impact of CBCT-head tilting on 3D condylar segmentation reproducibility6
Convolutional neural network-based automatic cervical vertebral maturation classification method6
The relationship between the uptake of alveolar bone inflammation and of cervical lymph nodes on fluoro-2-deoxy-D-glucose positron emission tomography6
Ability of upper airway metrics to predict obstructive sleep apnea severity: a systematic review6
Accuracy of upper airway volume measurements using different software products: a comparative analysis6
The outcome of an automated assessment of trabecular pattern in intraoral radiographs as a fracture risk predictor6
Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children6
Does cone beam CT change the treatment decision for maxillary second and third molars? A prospective study6
Dental imaging in Singapore: a survey of 2D radiographic techniques and CBCT practices6
In vitro evaluation of the accuracy of electronic apex locators and cone-beam CT in the detection of oblique root fractures6
Enhanced multistage deep learning for diagnosing anterior disc displacement in the temporomandibular joint using MRI6
Harmonization of robust radiomic features in the submandibular gland using multi-ultrasound systems: a preliminary study6
Deep learning for detecting periapical bone rarefaction in panoramic radiographs: a systematic review and critical assessment6
Analysis of noise characteristics in intraoral X-ray sensors using the Noise-Power Spectrum and non-parametric metrics from diagnostic imaging6
Magnetic resonance imaging in the diagnosis of periodontal and periapical disease5
Dynamic contrast-enhanced MRI and diffusion kurtosis imaging for the differentiation of salivary gland tumours5
Machine learning algorithms enhance the accuracy of radiographic diagnosis of dental caries: a comparative study5
Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation5
Automatic multi-class classification of 3D relationships between the mandibular third molar and canal on cone-beam computed tomography using a geometry-aware network5
Influence of artefacts generated by titanium and zirconium implants in the study of trabecular bone architecture in cone-beam CT images5
Letter to the editors on “An extensive sclerosing odontogenic carcinoma in mandible: a case report and literature review”5
Comparative evaluation of direct and digital measurements of peri-implant defects using CBCT, ultrasound, and intraoral scanning5
Enhanced CT-based texture analysis and radiomics score for differentiation of pleomorphic adenoma, basal cell adenoma, and Warthin tumor of the parotid gland5
Three-dimensional mapping of the greater palatine artery location and physiology5
How well do large language model-based chatbots perform in oral and maxillofacial radiology?5
Imaging findings of arrested pneumatisation and differentiation from other skull base lesions5
New scenarios for training in oral radiology: clinical performance and predoctoral students' perception of 3D-printed mannequins5
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
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
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett’s analysis: can we trust a bot to do that?4
Ambient light exposure of photostimulable phosphor plates: is there a safe limit for acceptable image quality?4
JADE: jawbone lesion diagnosis and decision supporting system4
Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis4
Does cone-beam CT convex triangular field of view influence the image shape distortion of high-density materials?4
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
MRI susceptibility artefacts caused by orthodontic wire4
Correction to Great potential of ultrasound elastography for the assessment of the masseter muscle in patients with temporomandibular disorders. A systematic review4
The relationship of masseter muscle thickness with face morphology and parafunctional habits: an ultrasound study4
The role of deep learning for periapical lesion detection on panoramic radiographs4
Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology4
Comparison of surface- and voxel-based registration on the mandibular ramus for long-term three-dimensional assessment of condylar remodelling following orthognathic surgery4
Clinical application of a modified image receptor-holding device to reduce proximal surfaces overlapping in bitewing radiography4
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 review4
Deep learning in the diagnosis for cystic lesions of the jaws: a review of recent progress4
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
Application of deep learning for detection of nasal bone fracture on X-ray nasal bone lateral view3
Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review3
Deep learning in the diagnosis of maxillary sinus diseases: a systematic review3
The magnetic resonance imaging characteristics of radicular cysts and granulomas3
Evaluation of furcation involvement with diagnostic imaging methods: a systematic review3
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
Estimating the modulation transfer function at natural structures in clinical CBCT images using the edge technique3
Automated detection of cephalometric landmarks using deep neural patchworks3
An artificial intelligence grading system of apical periodontitis in cone-beam computed tomography data3
An attempt to generate panoramic radiographs including jaw cysts using StyleGAN33
Radiomics in bone pathology of the jaws3
Is jaw fractal dimension a reliable biomarker for osteoporosis screening? A systematic review and meta-analysis of diagnostic test accuracy studies3
Does ambient light exposure of photostimulable phosphor plates compromise the radiographic diagnosis of simulated internal root resorption?3
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems—part 2: a subjective assessment3
Prediction of accessory canals on the apical third of mandibular second molar based on micro-computed tomography3
Can super resolution via deep learning improve classification accuracy in dental radiography?3
Automatic detection of posterior superior alveolar artery in dental cone-beam CT images using a deeply supervised multi-scale 3D network3
Increased rate of pseudarthrosis in the anterior intersegmental gap after mandibular reconstruction with fibula free flaps: a volumetric analysis3
Accuracy of MRI, CT, and Ultrasound imaging on thickness and depth of oral primary carcinomas invasion: a systematic review3
Carotid calcifications in panoramic radiographs can predict vascular risk3
A novel technique to quantify bone-to-implant contact of zygomatic implants: a radiographic analysis based on three-dimensional image registration and segmentation3
Measurement of radiation dose and analysis of dose distribution in the thyroid and eye lens during digital panoramic tomography3
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 metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device–tooth root contact: inadequate to reduce false-positive rate3
Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews3
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