文章名稱引用次數

• Tooth detection and numbering in panoramic radiographs using convolutional neural networks26
• A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography14
• Characterization of salivary gland tumours with diffusion tensor imaging12
• Cone beam CT imaging of the mandibular third molar: a position paper prepared by the European Academy of DentoMaxilloFacial Radiology (EADMFR)11
• Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study10
• Preliminary study on the application of deep learning system to diagnosis of Sjogren's syndrome on CT images10
• CT imaging features of antiresorptive agent-related osteonecrosis of the jaw/medication-related osteonecrosis of the jaw9
• Magnitude of cone beam CT image artifacts related to zirconium and titanium implants: impact on image quality9
• Age estimation based on pulp/tooth volume ratio measured on cone-beam CT images8
• Influence of acquisition parameters on the magnitude of cone beam computed tomography artifacts8