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 2022-06-01 to 2026-06-01.)
ArticleCitations
Influence of teaching method on radiographic diagnosis of root resorptions by dental students: a prospective cohort study83
Development and evaluation of a deep learning model to reduce exomass-related metal artefacts in cone-beam CT: an ex vivo study using porcine mandibles52
MRI-based cephalometrics: a scoping review of current insights and future perspectives47
Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism47
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions46
Diagnosis of nasopalatine duct and nasopalatine duct cyst in CBCT images: a radiomics-based machine learning approach46
Are the severity of obstruction and the apnea–hypopnea index related to orofacial anatomy in children with obstructive sleep apnea? a kinetic MRI study44
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3D models40
Impact of rubber dam thickness on image quality parameters in photostimulable phosphor plates39
A Multi-Task Deep Learning Model for Quality Control of Periapical Radiographs: Simultaneous Technical Error Classification and Quality Grading39
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 molars38
Automatic classification and segmentation of multiclass jaw lesions in cone-beam CT using deep learning38
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 MRI35
Automated detection of dental restorations using deep learning on panoramic radiographs34
Age determination on panoramic radiographs using the Kvaal method with the aid of artificial intelligence33
Radiological assessment of dissected cervical lymph nodes in level III affected by the area of supraomohyoid neck dissection33
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sjögren’s syndrome: a systematic review with meta-analysis33
A comparative study of three-dimensional cone beam computed tomographic sialography and ultrasonography in the detection of non-tumoral salivary duct diseases32
Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university32
Characterization of fungus ball CT-hyperdensities within maxillary and sphenoid sinuses30
Enhancing panoramic dental imaging with AI-driven arch surface fitting: achieving improved clarity and accuracy through an optimal reconstruction zone27
Close relationship with the glandular capsule: a highly sensitive diagnostic indicator of major salivary gland metastatic malignancies in ultrasound26
Efficacy of magnetic resonance imaging texture features of the lateral pterygoid muscle in distinguishing rheumatoid arthritis and osteoarthritis of the temporomandibular joint25
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