DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation-Reference-Cited by-同舟云学术

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DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation

Published:2024-08 Issue: Volume:147 Page:105130
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Dot Gauthier^ORCID,Chaurasia Akhilanand^ORCID,Dubois Guillaume,Savoldelli Charles,Haghighat Sara^ORCID,Azimian Sarina^ORCID,Taramsari Ali Rahbar^ORCID,Sivaramakrishnan Gowri^ORCID,Issa Julien^ORCID,Dubey Abhishek,Schouman Thomas,Gajny Laurent^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. Cone Beam CT for Dental and Maxillofacial Radiology (Evidence Based Guidelines);Horner,2012

2. CBCT in orthodontics: assessment of treatment outcomes and indications for its use;Kapila;Dentomaxillofac. Radiol.,2015

3. Cone beam computed tomography (CBCT) in periodontal diseases: a systematic review based on the efficacy model;Assiri;BMC Oral Health,2020

4. The recommendation of cone-beam computed tomography and its effect on endodontic diagnosis and treatment planning;Chogle;J. Endod.,2020

5. Accuracy of virtual planning in orthognathic surgery: a systematic review;Alkhayer;Head Face Med.,2020

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