Dentomaxillofacial Radiology

Papers
(The H4-Index of Dentomaxillofacial Radiology is 18. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network83
Cone beam computed tomography in dentomaxillofacial radiology: a two-decade overview62
Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models56
Artificial intelligence in oral and maxillofacial radiology: what is currently possible?55
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs46
Current applications and development of artificial intelligence for digital dental radiography40
Ultrasonography for diagnosis of peri-implant diseases and conditions: a detailed scanning protocol and case demonstration36
Deep learning for automated detection and numbering of permanent teeth on panoramic images33
Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs31
Refined tooth and pulp segmentation using U-Net in CBCT image27
Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging23
Discovering a new anatomy: exploration of oral mucosa with ultra-high frequency ultrasound23
Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments22
Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle22
Do various imaging modalities provide potential early detection and diagnosis of medication-related osteonecrosis of the jaw? A review21
Assessment of dental age estimation methods applied to Brazilian children: a systematic review and meta-analysis21
Two decades of research on CBCT imaging in DMFR – an appraisal of scientific evidence20
Panoramic versus CBCT used to reduce inferior alveolar nerve paresthesia after third molar extractions: a systematic review and meta-analysis20
Application of deep learning in teeth identification tasks on panoramic radiographs18
Artificial intelligence-based cephalometric landmark annotation and measurements according to Arnett’s analysis: can we trust a bot to do that?18
Computer tomographic differential diagnosis of ameloblastoma and odontogenic keratocyst: classification using a convolutional neural network18
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