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CureusAlabrash F, Khalil F.
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Comparison of 2D, 2.5D, and 3D landmark localization networks for 3D cephalometry in CT images. [PDF]
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Reliability of AI-driven cephalometric analysis on CBCT: comparison with manual 2D cephalometry. [PDF]
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Evaluation of the Relationship between Maxillary and Mandibular Third Molar Impaction and Vertical and Anteroposterior Dimensions of the Face. [PDF]
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Pediatric validation of an AI-assisted smartphone application (WebCeph) for cephalometric analysis: reliability, reproducibility and time-efficiency assessment. [PDF]
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Accuracy of cephalometric landmark identification on artificial intelligence-based software: a comparative study. [PDF]
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Evaluation of artificial intelligence-based cephalometric analysis compared to the manual method. [PDF]
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A YOLOv12-based approach for automatic detection of cephalometric landmarks on 2D lateral skull X-ray images. [PDF]
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Cone-Beam Computed Tomography-Based Three-Dimensional Phenotypes of Skeletal Class II Malocclusion in Yemeni Adults: A Principal Component and Cluster Analysis. [PDF]
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The Role of Artificial Intelligence in Orthodontics for Determining Skeletal Age Based on Cervical Vertebra Maturation Degree: A Comprehensive Review. [PDF]
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