CranioCatch in Academic Research

Explore Craniocatch’s latest academic studies,
clinical findings, and scientific contributions in the
field of medical imaging and AI.

A Deep Learning Approach to Automatic Tooth Caries Segmentation in Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition
A Deep Learning Approach to Automatic Tooth Caries Segmentation in Panoramic Radiographs of Children in Primary Dentition, Mixed Dentition, and Permanent Dentition
Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm a pilot study
Detecting white spot lesions on post-orthodontic oral photographs using deep learning based on the YOLOv5x algorithm a pilot study
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images
Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach
Prediction of extraction difficulty for impacted maxillary third molars with deep learning approach
The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study
The Detection of Pulp Stones with Automatic Deep Learning in Panoramic Radiographies: An AI Pilot Study
Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study
Tooth numbering and classification on bitewing radiographs: an artificial intelligence pilot study
Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study
Detection of periodontal bone loss patterns and furcation defects from panoramic radiographs using deep learning algorithm: a retrospective study
Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images
Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images
Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study
Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study
Classification of Temporomandibular Joint Osteoarthritis on Cone Beam Computed Tomography Images Using Artificial Intelligence System
Classification of Temporomandibular Joint Osteoarthritis on Cone Beam Computed Tomography Images Using Artificial Intelligence System
Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease
Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease
Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence
Detecting Pulp Stones with Automatic Deep Learning in Bitewing Radiographs: A Pilot Study of Artificial Intelligence
A Comperative Study of Use of Artificial Intelligence in Oral Radiology Education
A Comperative Study of Use of Artificial Intelligence in Oral Radiology Education
Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study
The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study
A deep learning approach for masseter muscle segmentation on ultrasonography
A deep learning approach for masseter muscle segmentation on ultrasonography
A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study
A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study
Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images
Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
Automatic Feature Segmentation in Dental Periapical Radiographs
Automatic Feature Segmentation in Dental Periapical Radiographs
Performance of a Convolutional Neural NetworkBased Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection
Performance of a Convolutional Neural NetworkBased Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection
Automatic Detection and Classification of Dental Restorations in Panoramic Radiographs with Artificial Intelligence Method Developed Using Deep Learning Method: Methodological Studies
Automatic Detection and Classification of Dental Restorations in Panoramic Radiographs with Artificial Intelligence Method Developed Using Deep Learning Method: Methodological Studies
Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm
Detecting the presence of taurodont teeth on panoramic radiographs using a deep learning-based convolutional neural network algorithm
Automatic Detection of Dentigerous Cysts on Panoramic Radiographs: A Deep Learning Study
Automatic Detection of Dentigerous Cysts on Panoramic Radiographs: A Deep Learning Study
Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system
Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system
A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
Deep-learning approach for caries detection and segmentation on dental bitewing radiographs
Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs
Performance of a convolutional neural network algorithm for tooth detection and numbering on periapical radiographs
An Artificial Intelligence approach to automatic tooth detection and numbering in panoramic radiographs
An Artificial Intelligence approach to automatic tooth detection and numbering in panoramic radiographs
An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism
An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
Success Of Artificial Intelligence System In Determining Alveolar Bone Loss From Dental Panoramic Radiography Images
Success Of Artificial Intelligence System In Determining Alveolar Bone Loss From Dental Panoramic Radiography Images
An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs
An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs
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