OOIR: Observatory of International Research

Papers

(The H4-Index of Dentomaxillofacial Radiology is 24. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Comparison of the image quality and radiation dose of different scanning modes in head-neck CT angiography	94
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	71
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions	66
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study	58
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models	55
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study	54
MRI-based cephalometrics: a scoping review of current insights and future perspectives	51
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism	35
Near-infrared reflection at 780 nm for detection of early proximal caries in posterior permanent teeth in vitro	35
CBCT in dental age estimation: A systematic review and meta analysis	32
Deep learning for automated detection and numbering of permanent teeth on panoramic images	32
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning	31
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis	30
Imaging characteristics of sublingual gland herniation on CT and MRI	29
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose	28
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence	28
Estimation of the radiation dose for dental spectral cone-beam CT	27
Acute soft tissue injury to the temporomandibular joint and posttraumatic assessment after mandibular condyle fractures: a longitudinal prospective MRI study	26
Detection of vertical root fractures by cone-beam computed tomography based on deep learning	26
Radiographic changes in the temporomandibular joint related to medication in rheumatic diseases	26
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone	25
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases	25
Automated detection of dental restorations using deep learning on panoramic radiographs	25
A simple graded bite block for dynamic magnetic resonance imaging of the temporomandibular joint	25