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

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

(2021) Münevver Coruh Kılıc et al.   DENTOMAXILLOFACIAL RADIOLOGY

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning

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

Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation

(2020) Minyoung Chung et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs

(2020) Myrthel Vranckx et al.   International Journal of Environmental Research and Public Health

Developments, application, and performance of artificial intelligence in dentistry – A systematic review

(2020) Sanjeev B. Khanagar et al.   Journal of Dental Sciences

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

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

Use of CBCT Guidance for Tooth Autotransplantation in Children

(2019) M. EzEldeen et al.   JOURNAL OF DENTAL RESEARCH

3-dimensional Analysis of Regenerative Endodontic Treatment Outcome

(2015) Mostafa EzEldeen et al.   JOURNAL OF ENDODONTICS