A Deep Learning Approach to Segment and Classify C-Shaped Canal Morphologies in Mandibular Second Molars Utilizing Cone-Beam Computed Tomography

Refined tooth and pulp segmentation using U-Net in CBCT image

(2021) Wei Duan et al.   DENTOMAXILLOFACIAL RADIOLOGY

Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs

(2021) Su-Jin Jeon et al.   DENTOMAXILLOFACIAL RADIOLOGY

Artificial intelligence for fast and accurate 3D tooth segmentation on CBCT

(2021) Pierre Lahoud et al.   JOURNAL OF ENDODONTICS

Artificial Intelligence for detection of periapical lesions on intraoral radiographs: comparison between convolutional neural networks and human observers

(2021) Ruben Pauwels et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans

(2020) K. Orhan et al.   INTERNATIONAL ENDODONTIC JOURNAL

Artificial Intelligence in Dentistry: Chances and Challenges

(2020) F. Schwendicke et al.   JOURNAL OF DENTAL RESEARCH

Artificial Intelligence for the Computer-aided Detection of Periapical Lesions in Cone-beam Computed Tomographic Images

(2020) Frank C. Setzer et al.   JOURNAL OF ENDODONTICS

Automatic mandibular canal detection using a deep convolutional neural network

(2020) Gloria Hyunjung Kwak et al.   Scientific Reports

A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

(2020) Anita Khanna et al.   Biocybernetics and Biomedical Engineering

Automated Detection of TMJ Osteoarthritis Based on Artificial Intelligence

(2020) K.S. Lee et al.   JOURNAL OF DENTAL RESEARCH

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

(2020) Michael G. Endres et al.   Diagnostics

Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs

(2020) André Ferreira Leite et al.   Clinical Oral Investigations

Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection

(2020) Zhiyang Zheng et al.   IEEE Transactions on Automation Science and Engineering

Deep Learning for the Radiographic Detection of Apical Lesions

(2019) Thomas Ekert et al.   JOURNAL OF ENDODONTICS

Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography

(2019) Motoki Fukuda et al.   Oral Radiology

A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

(2018) Teruhiko Hiraiwa et al.   DENTOMAXILLOFACIAL RADIOLOGY

A Comparison of 2- and 3-dimensional Healing Assessment after Endodontic Surgery Using Cone-beam Computed Tomographic Volumes or Periapical Radiographs

(2017) Tom Schloss et al.   JOURNAL OF ENDODONTICS

A Survey of Cone-beam Computed Tomographic Use among Endodontic Practitioners in the United States

(2017) Frank C. Setzer et al.   JOURNAL OF ENDODONTICS

Automatic segmentation of maxillofacial cysts in cone beam CT images

(2016) Fatemeh Abdolali et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Diagnostic Accuracy of Cone-beam Computed Tomography and Conventional Radiography on Apical Periodontitis: A Systematic Review and Meta-analysis

(2016) Kamile Leonardi Dutra et al.   JOURNAL OF ENDODONTICS

3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images

(2016) Yuru Pei et al.   MEDICAL PHYSICS

Retreatment Predictions in Odontology by means of CBR Systems

(2016) Livia Campo et al.   Computational Intelligence and Neuroscience

Noninvasive differential diagnosis of dental periapical lesions in cone-beam CT scans

(2015) Kazunori Okada et al.   MEDICAL PHYSICS

The Reliability of Artificial Neural Network in Locating Minor Apical Foramen: A Cadaver Study

(2012) Mohammad Ali Saghiri et al.   JOURNAL OF ENDODONTICS

Pre-operative diagnostic radiograph interpretation by general dental practitioners for root canal treatment

(2011) I Anand Sherwood   DENTOMAXILLOFACIAL RADIOLOGY

A new approach for locating the minor apical foramen using an artificial neural network

(2011) M. A. Saghiri et al.   INTERNATIONAL ENDODONTIC JOURNAL