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CranioCatch in academic research
You can find current academic studies on CranioCatch here!
Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study
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Classification of Temporomandibular Joint Osteoarthritis on Cone Beam Computed Tomography Images Using Artificial Intelligence System
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Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease
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Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence
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A Comperative Study of Use of Artificial Intelligence in Oral Radiology Education
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Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
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The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study
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A deep learning approach for masseter muscle segmentation on ultrasonography
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A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study
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Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images
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A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
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Automatic Feature Segmentation in Dental Periapical Radiographs
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Performance of a Convolutional Neural NetworkBased Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection
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Automatic Detection and Classification of Dental Restorations in Panoramic Radiographs with Artificial Intelligence Method Developed Using Deep Learning Method: Methodological Studies
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Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm
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Automatic Detection of Dentigerous Cysts on Panoramic Radiographs: A Deep Learning Study
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Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system
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A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
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Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
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Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs
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An Artificial Intelligence approach to automatic tooth detection and numbering in panoramic radiographs
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An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism
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Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
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Success Of Artificial Intelligence System In Determining Alveolar Bone Loss From Dental Panoramic Radiography Images
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An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs
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