Dentomaxillofacial Radiology

Papers
(The TQCC of Dentomaxillofacial Radiology is 8. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study83
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles52
MRI-based cephalometrics: a scoping review of current insights and future perspectives47
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism47
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions46
Diagnosis of nasopalatine duct and nasopalatine duct cyst in CBCT images: a radiomics-based machine learning approach46
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study44
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models40
Impact of rubber dam thickness on image quality parameters in photostimulable phosphor plates39
A Multi-Task Deep Learning Model for Quality Control of Periapical Radiographs: Simultaneous Technical Error Classification and Quality Grading39
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 molars38
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning38
Detection of vertical root fractures by cone-beam computed tomography based on deep learning36
Imaging characteristics of sublingual gland herniation on CT and MRI35
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose35
Automated detection of dental restorations using deep learning on panoramic radiographs34
Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection33
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis33
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence33
Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university32
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases32
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses30
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone27
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
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images24
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
Deep learning for automated detection and numbering of permanent teeth on panoramic images23
Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences22
Assessing the accuracy of multiple-choice questions using different artificial intelligence-driven tools—an observational study22
Detection of dental restorations and prosthesis devices in panoramic dental X-ray using fast region-based convolutional neural network22
Performance and clinical applicability of AI models for jawbone lesion classification: a systematic review with meta-analysis and introduction of a clinical interpretation score22
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?22
3D-printed model for preclinical training in oral radiology: anatomic and pathological conditions22
Dose optimization in CBCT in dentistry: a survey among EADMFR members21
Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles21
A pilot study on the detection of proximal caries in permanent anterior human teeth using lateral short-wave infrared transillumination at 1300 nm19
Does the disinfection of a photostimulable phosphor plate receptor with peracetic acid impair carious lesions diagnosis?19
Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study18
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time18
Lamina dura thickening in patients on antiresorptive therapy as a radiographic risk indicator of MRONJ: a retrospective longitudinal cohort study18
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study15
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods15
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network15
Human examination and artificial intelligence in cephalometric landmark detection—is AI ready to take over?15
Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study15
Radiomic texture mapping improves visualization of simulated condylar bone lesions in cone beam computed tomography14
Correlation between temporomandibular joint space and different degrees of anterior disc displacement: a systematic review14
Investigation of the effect of thyroid collar, radiation safety glasses, and lead apron on radiation dose in cone beam CT14
Comprehensive assessment of primary and secondary low bone mass using dual-energy X-ray absorptiometry and cone beam CT—a cross-sectional study14
Cleaning of photostimulable phosphor plates with chlorhexidine-based substances does not affect image quality of radiographs13
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study13
Automating virtual dental implant planning: can artificial intelligence match clinical expertise?13
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational 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
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility12
Development of automatic landmark identification for mandible using curvature-based registration12
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging12
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
A novel cross-attentive network for classifying cervical metastatic lymph nodes on B- and D-mode ultrasound images in oral squamous cell carcinoma11
Three-dimensional radiological anatomy of condyle trabecular bone based on a Volume-of-Interest analysis11
Detection of misfits at the abutment-crown interface: comparison between stationary intraoral tomosynthesis and periapical radiography acquired with different vertical angulations11
Bone quality assessment around dental implants in cone-beam CT images: effect of rotation mode and metal artefact reduction tool10
Carotid artery calcifications on panoramic radiographs are associated with vascular disease severity on carotid ultrasound10
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
Treatment outcomes and time to healing of medication-related osteonecrosis of the jaw based on image findings10
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
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 radiographs10
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma9
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis9
Artificial intelligence-based fully automatic 3D paranasal sinus segmentation9
Factors affecting interpretation of dental radiographs9
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study9
Enhanced clinical assessment of Orofacial Clefts using interactive 3D visualization from Cinematic Rendering9
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography9
The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model9
Influence of tube current, sharpening filters, and metal artefact-reducing filters on the diagnosis in the cone-beam computed tomographic diagnosis of carious lesion8
How does the clinical and tomographic appearance of MRONJ influences its treatment prognosis?8
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs8
Facial vascular visualization enhancement based on optical detection technology8
Third molar position after completion of orthodontic treatment: a prospective follow-up8
A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study8
Quantitative assessment of condylar bone changes in osteoarthritis patients using single-photon emission computed tomography/computed tomography and magnetic resonance imaging8
Assessment of vertical magnification ratios in digital panoramic radiography using phantoms: evaluation of DICOM metadata and calibration consistency8
Evaluation of a Convolutional Neural Network-Based Artifact Reduction Algorithm for Zirconia Single Crown Artifacts in Cone-Beam Computed Tomography8
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