Influence of dental fillings and tooth type on performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images – A validation study

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

(2021) Wei Duan et al.   DENTOMAXILLOFACIAL RADIOLOGY

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

(2021) Pierre Lahoud et al.   JOURNAL OF ENDODONTICS

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning

(2021) H. Wang et al.   JOURNAL OF DENTAL RESEARCH

Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography

(2021) Pieter-Jan Verhelst et al.   JOURNAL OF DENTISTRY

Integration of imaging modalities in digital dental workflows - possibilities, limitations, and potential future developments

(2021) Sohaib Shujaat et al.   DENTOMAXILLOFACIAL RADIOLOGY

A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study

(2021) Eman Shaheen et al.   JOURNAL OF DENTISTRY

Mapping the expression of beam hardening artefacts produced by metal posts positioned in different regions of the dental arch

(2020) Rocharles C. Fontenele et al.   Clinical Oral Investigations

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

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

3-dimensional Analysis of Regenerative Endodontic Treatment Outcome

(2015) Mostafa EzEldeen et al.   JOURNAL OF ENDODONTICS

Influence of scanning and reconstruction parameters on quality of three-dimensional surface models of the dental arches from cone beam computed tomography

(2009) Bassam Hassan et al.   Clinical Oral Investigations