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 2022-01-01 to 2026-01-01.)

Article	Citations
Diagnosis of nasopalatine duct and nasopalatine duct cyst in CBCT images: a radiomics-based machine learning approach	134
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models	76
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study	68
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study	39
Deep learning for automated detection and numbering of permanent teeth on panoramic images	37
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions	37
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	36
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism	35
CBCT in dental age estimation: A systematic review and meta analysis	34
Imaging characteristics of sublingual gland herniation on CT and MRI	32
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning	32
Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection	32
MRI-based cephalometrics: a scoping review of current insights and future perspectives	32
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose	32
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	31
Automated detection of dental restorations using deep learning on panoramic radiographs	31
Detection of vertical root fractures by cone-beam computed tomography based on deep learning	31
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence	31
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses	30
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone	30
A semi-automatic approach for longitudinal 3D upper airway analysis using voxel-based registration	29
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases	27
A simple graded bite block for dynamic magnetic resonance imaging of the temporomandibular joint	27
Deep learning for automated detection and numbering of permanent teeth on panoramic images	26

Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound	26
Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university	26