A deep learning approach for dental implant planning in cone-beam computed tomography images

Retrospective assessment of dental implant-related perforations of relevant anatomical structures and inadequate spacing between implants/teeth using cone-beam computed tomography

(2020) Hugo Gaêta-Araujo et al.   Clinical Oral Investigations

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

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

Re-epithelialization and immune cell behaviour in an ex vivo human skin model

(2020) Ana Rakita et al.   Scientific Reports

Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes

(2020) Joel Jaskari et al.   Scientific Reports

Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs

(2020) Motoki Fukuda et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Deep Convolutional Neural Networks Based Analysis of Cephalometric Radiographs for Differential Diagnosis of Orthognathic Surgery Indications

(2020) Ki-Sun Lee et al.   Applied Sciences-Basel

Tooth detection and numbering in panoramic radiographs using convolutional neural networks

(2019) Dmitry V. Tuzoff et al.   DENTOMAXILLOFACIAL RADIOLOGY

Artificial Intelligent Model With Neural Network Machine Learning for the Diagnosis of Orthognathic Surgery

(2019) Hyuk-Il Choi et al.   JOURNAL OF CRANIOFACIAL SURGERY

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

(2019) Joachim Krois et al.   Scientific Reports

Convolutional neural networks for dental image diagnostics: A scoping review

(2019) Falk Schwendicke et al.   JOURNAL OF DENTISTRY

Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

(2018) Jae-Hong Lee et al.   Journal of Periodontal and Implant Science

Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography

(2018) Youngjune Kim et al.   INVESTIGATIVE RADIOLOGY

Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

(2018) Jae-Hong Lee et al.   JOURNAL OF DENTISTRY

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

Fully Automated Deep Learning System for Bone Age Assessment

(2017) Hyunkwang Lee et al.   JOURNAL OF DIGITAL IMAGING

MR-based synthetic CT generation using a deep convolutional neural network method

(2017) Xiao Han   MEDICAL PHYSICS

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

The Role of Cone-Beam Computed Tomography in the Planning and Placement of Implants

(2014) Philip Worthington et al.   JOURNAL OF THE AMERICAN DENTAL ASSOCIATION

Planning of dental implant size with digital panoramic radiographs, CBCT-generated panoramic images, and CBCT cross-sectional images

(2013) Leticia Ruhland Correa et al.   CLINICAL ORAL IMPLANTS RESEARCH

Performance of an artificial neural network for vertical root fracture detection: anex vivostudy

(2012) Suwadee Kositbowornchai et al.   DENTAL TRAUMATOLOGY

Accuracy of linear measurements using dental cone beam and conventional multislice computed tomography

(2008) A Suomalainen et al.   DENTOMAXILLOFACIAL RADIOLOGY

Comparison Between Digital Panoramic Radiography and Cone-Beam Computed Tomography for the Identification of the Mandibular Canal as Part of Presurgical Dental Implant Assessment

(2008) Christos Angelopoulos et al.   JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY

An artificial multilayer perceptron neural network for diagnosis of proximal dental caries

(2008) Karina Lopes Devito et al.   ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY AND ENDODONTICS