3D Dental model segmentation with graph attentional convolution network
Precisely segmenting teeth from digitized 3D dental models is an essential task in computer-
aided orthodontic surgical planning. In recent years, various deep learning-based methods …
aided orthodontic surgical planning. In recent years, various deep learning-based methods …
An Implicit Parametric Morphable Dental Model
3D Morphable models of the human body capture variations among subjects and are useful
in reconstruction and editing applications. Current dental models use an explicit mesh scene …
in reconstruction and editing applications. Current dental models use an explicit mesh scene …
A revised approach to orthodontic treatment monitoring from oralscan video
Y Tian, G Jian, J Wang, H Chen, L Pan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Research on orthodontic treatment monitoring from oralscan video is a new direction in
dental digitalization. We designed an approach to reconstruct, segment, and estimate the …
dental digitalization. We designed an approach to reconstruct, segment, and estimate the …
3D reconstruction for maxillary anterior tooth crown based on shape and pose estimation networks
Y Feng, BX Tao, JC Fan, SG Wang, JQ Mo… - International Journal of …, 2023 - Springer
Purpose The design of a maxillary anterior tooth crown is crucial to post-treatment aesthetic
appearance. Currently, the design is performed manually or by semi-automatic methods …
appearance. Currently, the design is performed manually or by semi-automatic methods …
A fine-grained orthodontics segmentation model for 3D intraoral scan data
With the widespread application of digital orthodontics in the diagnosis and treatment of oral
diseases, more and more researchers focus on the accurate segmentation of teeth from …
diseases, more and more researchers focus on the accurate segmentation of teeth from …
ToothCR: a two-stage completion and reconstruction approach on 3D dental model
H Zhu, X Jia, C Zhang, T Liu - … on Knowledge Discovery and Data Mining, 2022 - Springer
Deep neural networks have made a number of achievements both in tooth segmentation
and arrangement on complete 3D dental models. But few studies have used deep learning …
and arrangement on complete 3D dental models. But few studies have used deep learning …
Tooth alignment network based on landmark constraints and hierarchical graph structure
Automatic tooth alignment target prediction is vital in shortening the planning time of
orthodontic treatments and aligner designs. Generally, the quality of alignment targets …
orthodontic treatments and aligner designs. Generally, the quality of alignment targets …
Self-attention implicit function networks for 3D dental data completion
While complete dental models are crucial for digital dentistry, current technologies mostly
focus on the 3D dental crown but overlook the dental gum that is important for applications in …
focus on the 3D dental crown but overlook the dental gum that is important for applications in …
A 3D dental model dataset with pre/post-orthodontic treatment for automatic tooth alignment
S Wang, C Lei, Y Liang, J Sun, X Xie, Y Wang, F Zuo… - Scientific Data, 2024 - nature.com
Traditional orthodontic treatment relies on subjective estimations of orthodontists and
iterative communication with technicians to achieve desired tooth alignments. This process …
iterative communication with technicians to achieve desired tooth alignments. This process …
Dense representative tooth landmark/axis detection network on 3D model
Artificial intelligence (AI) technology is increasingly used for digital orthodontics, but one of
the challenges is to automatically and accurately detect tooth landmarks and axes. While …
the challenges is to automatically and accurately detect tooth landmarks and axes. While …