Dentomaxillofacial Radiology

Papers
(The H4-Index of Dentomaxillofacial Radiology is 25. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study80
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles49
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism46
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions45
MRI-based cephalometrics: a scoping review of current insights and future perspectives45
Diagnosis of nasopalatine duct and nasopalatine duct cyst in CBCT images: a radiomics-based machine learning approach44
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models40
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study40
Impact of rubber dam thickness on image quality parameters in photostimulable phosphor plates39
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning38
CBCT in dental age estimation: A systematic review and meta analysis37
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 molars36
Detection of vertical root fractures by cone-beam computed tomography based on deep learning36
Variations in head tilt during the acquisition of cone beam computed tomography scans and their effects on effective radiation dose35
Imaging characteristics of sublingual gland herniation on CT and MRI34
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis33
Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection33
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence32
Automated detection of dental restorations using deep learning on panoramic radiographs32
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone32
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses31
Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university31
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases31
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound29
Deep learning for automated detection and numbering of permanent teeth on panoramic images25
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