Generative deep learning approaches for the design of dental restorations: A narrative review-Reference-Cited by-同舟云学术

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Generative deep learning approaches for the design of dental restorations: A narrative review

Published:2024-06 Issue: Volume:145 Page:104988
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Broll Alexander^ORCID,Goldhacker Markus,Hahnel Sebastian,Rosentritt Martin^ORCID

Publisher

Elsevier BV

Reference69 articles.

1. Computer-aided design of tooth preparations for automated development of fixed prosthodontics;Yuan;Comput. Biol. Med.,2014

2. Digital Technologies for Restorative Dentistry;Watanabe;Dental Clin. North Am.,2022

3. Preliminary clinical study of the accuracy of a digital axiographic recording system for the assessment of sagittal condylar inclination;Lepidi;J. Dentis.,2023

4. In-vitro accuracy of a novel jaw-tracking technology;Nagy;J. Dentis.,2023

5. Influence of cusp inclination and curvature on the in vitro failure and fracture resistance of veneered zirconia crowns;Preis;Clin. Oral Investigat.,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-designed implant-supported posterior crowns: Assessing time efficiency, tooth morphology, emergence profile, occlusion, and proximal contacts;Journal of Dentistry;2024-08

2. Comparison of the Efficacy of Artificial Intelligence-Powered Software in Crown Design: An In Vitro Study;International Dental Journal;2024-07

3. Generation of virtual mandibular first molar teeth and accuracy analysis using deep convolutional generative adversarial network;Journal of Korean Acedemy of Dental Technology;2024-06-30

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