Dentomaxillofacial Radiology

Papers
(The TQCC of Dentomaxillofacial Radiology is 9. 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 2021-08-01 to 2025-08-01.)
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 mandibles108
Near-infrared reflection at 780 nm for detection of early proximal caries in posterior permanent teeth in vitro75
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning71
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study63
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism60
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study60
CBCT in dental age estimation: A systematic review and meta analysis39
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models36
MRI-based cephalometrics: a scoping review of current insights and future perspectives34
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions33
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis30
Deep learning for automated detection and numbering of permanent teeth on panoramic images30
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose30
Radiographic changes in the temporomandibular joint related to medication in rheumatic diseases29
Automated detection of dental restorations using deep learning on panoramic radiographs28
Imaging characteristics of sublingual gland herniation on CT and MRI28
Detection of vertical root fractures by cone-beam computed tomography based on deep learning27
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence27
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses26
Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study26
A semi-automatic approach for longitudinal 3D upper airway analysis using voxel-based registration26
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone26
Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density-weighted images with diagnostic support from the latest deep learning classification models?25
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases25
A simple graded bite block for dynamic magnetic resonance imaging of the temporomandibular joint25
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound24
3D-printed model for preclinical training in oral radiology: anatomic and pathological conditions24
An automated method for assessing condyle head changes in patients with skeletal class II malocclusion based on Cone-beam CT images24
Revisiting dynamic range and image enhancement ability of contemporary digital radiographic systems23
Microleakage beneath orthodontic brackets in high field magnetic resonance imaging (MRI) AT 1.5 & 3 Tesla22
Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint21
Deep learning for automated detection and numbering of permanent teeth on panoramic images20
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
Hypervigilance to pain and sleep quality are confounding variables in the infrared thermography examination of the temporomandibular joint and temporal and masseter muscles19
Effective dose estimation in cone-beam computed tomography for dental use by Monte-Carlo simulation optimizing calculation numbers using a step-and-shoot method19
Diffusion-weighted imaging of the head and neck: comparison between integrated slice-specific dynamic shimming and simultaneous multi-slice readout-segmented echo-planar sequences19
Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study18
Human examination and artificial intelligence in cephalometric landmark detection—is AI ready to take over?18
In vitro assessment of periapical lesions created in sheep mandibles by using high resolution ultrasonography and cone beam computed tomography17
Filtered back projection vs. iterative reconstruction for CBCT: effects on image noise and processing time17
The empirical formula for calculating the incident air Kerma in intraoral radiographic imaging17
Synthetic MRI for the quantitative and morphologic assessment of head and neck tumors: a preliminary study17
Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network16
Value of contrast-enhanced ultrasound in predicting early lymph-node metastasis in oral cancer16
Detection of the separated root canal instrument on panoramic radiograph: a comparison of LSTM and CNN deep learning methods16
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational study15
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
Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study15
Investigation of the effect of thyroid collar, radiation safety glasses, and lead apron on radiation dose in cone beam CT14
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility14
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs14
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
Echo intensity and gray-level co-occurrence matrix analysis of soft tissue grafting biomaterials and dental implants: an in vitro ultrasonographic pilot study13
Development of automatic landmark identification for mandible using curvature-based registration13
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
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
DMAF-Net: deformable multi-scale adaptive fusion network for dental structure detection with panoramic radiographs12
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
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 radiography11
Artificial intelligence based fully automatic 3D paranasal sinus segmentation11
A nomogram incorporating clinical, conventional ultrasound and shear wave elastography findings for distinguishing pleomorphic adenoma from Warthin’s tumor of the major salivary glands11
Automated tooth segmentation in magnetic resonance scans using deep learning - A pilot study11
Bone quality assessment around dental implants in cone-beam CT images: effect of rotation mode and metal artefact reduction tool11
Investigation of the accessory maxillary ostium: a congenital variation or acquired defect?11
Advancing periodontal diagnosis: harnessing advanced artificial intelligence for patterns of periodontal bone loss in cone-beam computed tomography11
Treatment outcomes and time to healing of medication-related osteonecrosis of the jaw based on image findings11
In vitro comparison of high-resolution USG, CBCT, and direct measurements of periodontal defects10
Reproducibility and diagnostic value of a new wedge-guided bitewing image receptor-holding device10
Factors affecting interpretation of dental radiographs10
Development and validation of apparent diffusion coefficient histogram-based nomogram for predicting malignant transformation of sinonasal inverted papilloma10
The efficacy of supervised learning and semi-supervised learning in diagnosis of impacted third molar on panoramic radiographs through artificial intelligence model10
Observer agreement of imaging measurements used for evaluation of dentofacial deformity in juvenile idiopathic arthritis10
Facial vascular visualization enhancement based on optical detection technology10
An ultrasound protocol for temporomandibular joint in juvenile idiopathic arthritis: a pilot study10
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis10
Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw? A review10
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
Third molar position after completion of orthodontic treatment: a prospective follow-up10
How does the clinical and tomographic appearance of MRONJ influences its treatment prognosis?9
Cephalometric tracing: comparing artificial intelligence and augmented intelligence on online platforms9
Diagnostic efficacy of CBCT, MRI and CBCT–MRI fused images in determining anterior disc displacement and bone changes of temporomandibular joint9
The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing9
Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs9
A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study9
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