Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images-Reference-Cited by-同舟云学术

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Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images

Published:2022-11 Issue:11 Volume:41 Page:3116-3127
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Li Pengcheng¹^ORCID,Liu Yang²,Cui Zhiming³^ORCID,Yang Feng¹^ORCID,Zhao Yue¹^ORCID,Lian Chunfeng⁴^ORCID,Gao Chenqiang¹^ORCID

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Department of Orthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing, China

3. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

4. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

Funder

Chongqing University of Posts and Telecommunications Ph.D. Innovative Talents Project

Science and Technology Research Program of Chongqing Municipal Education Commission

National Natural Science Foundation of China

Intelligent Medicine Research Project of Chongqing Medical University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9931396/09785606.pdf?arnumber=9785606

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1. Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network;Expert Systems with Applications;2024-10

2. Automatic tooth arrangement with joint features of point and mesh representations via diffusion probabilistic models;Computer Aided Geometric Design;2024-06

3. Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Precise tooth design using deep learning-based templates;Journal of Dentistry;2024-05

5. Semi or fully automatic tooth segmentation in CBCT images: a review;PeerJ Computer Science;2024-04-19

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