A Revised Approach to Orthodontic Treatment Monitoring From Oralscan Video-Reference-Cited by-同舟云学术

A Revised Approach to Orthodontic Treatment Monitoring From Oralscan Video

Published:2023-12 Issue:12 Volume:27 Page:5827-5836
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Tian Yan¹^ORCID,Jian Guotang¹^ORCID,Wang Jialei²^ORCID,Chen Hong³^ORCID,Pan Lei⁴^ORCID,Xu Zhaocheng⁵^ORCID,Li Jianyuan⁶^ORCID,Wang Ruili⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China

2. Shining3D Tech Company, Ltd., Hangzhou, China

3. Department of Stomatology, Zhejiang Hospital, Hangzhou, China

4. Department of Plastic & Reconstructive Surgery, Center for Plastic & Reconstructive Surgery, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, China

5. School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand

6. School of Computer and Computing Science, Zhejiang University City College, Hangzhou, China

Funder

National Natural Science Foundation of China

Zhejiang Province R&D Key Project

Special Project for Basic Business Expenses of Zhejiang Provincial Colleges and Universities

General Project Funds from the Health Department of Zhejiang Province

Opening Foundation of State Key Laboratory of Virtual Reality Technology and System of Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10345388/10264061.pdf?arnumber=10264061

Reference57 articles.

1. A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases

2. Artificial Intelligence Driven Remote Monitoring of orthodontic patients: Clinical applicability and rationale

3. How attentive are graph attention networks3?;Brody,2022

4. DROID-SLAM: Deep visual slam for monocular, stereo, and RGB-D cameras;Teed,2021

5. SoftGroup for 3D Instance Segmentation on Point Clouds

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