OOIR: Observatory of International Research

Papers

(The H4-Index of Dentomaxillofacial Radiology is 26. 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.)

Article	Citations
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles	113
Near-infrared reflection at 780 nm for detection of early proximal caries in posterior permanent teeth in vitro	77
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models	76
MRI-based cephalometrics: a scoping review of current insights and future perspectives	65
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions	64
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism	62
Deep learning for automated detection and numbering of permanent teeth on panoramic images	40
CBCT in dental age estimation: A systematic review and meta analysis	36
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study	34
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning	34
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose	31
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study	31
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis	31
Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study	30
Automated detection of dental restorations using deep learning on panoramic radiographs	29
Imaging characteristics of sublingual gland herniation on CT and MRI	29
Radiographic changes in the temporomandibular joint related to medication in rheumatic diseases	28
Detection of vertical root fractures by cone-beam computed tomography based on deep learning	28
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence	28
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone	27
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses	27
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases	26
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound	26
A semi-automatic approach for longitudinal 3D upper airway analysis using voxel-based registration	26
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 joint