Tooth Alignment Network Based on Landmark Constraints and Hierarchical Graph Structure.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3218028
Abstract: Automatic tooth alignment target prediction is vital in shortening the planning time of orthodontic treatments and aligner designs. Generally, the quality of alignment targets greatly depends on the experience and ability of dentists and has… read more here.
Keywords: hierarchical graph; network; landmark constraints; tooth alignment ... See more keywords
LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2024.3413857
Abstract: Accurately determining the clinical positions for each tooth is essential in orthodontics, while most existing solutions heavily rely on inefficient manual design. In this paper, we present the LETA, a dual-branch Latent Encoding based 3D… read more here.
Keywords: latent encoding; latent; tooth alignment; branch latent ... See more keywords