Artificial Intelligence in Orthodontics: Critical Review

NF Nordblom, M Büttner… - Journal of Dental …, 2024 - journals.sagepub.com
With increasing digitalization in orthodontics, certain orthodontic manufacturing processes
such as the fabrication of indirect bonding trays, aligner production, or wire bending can be …

MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision

J Li, A Pepe, C Gsaxner, G Luijten, Y Jin… - arXiv preprint arXiv …, 2023 - arxiv.org
We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …

Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge

B Zou, S Wang, H Liu, G Sun, Y Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Teeth localization segmentation and labeling in 2D images have great potential in modern
dentistry to enhance dental diagnostics treatment planning and population-based studies on …

Mesh segmentation for individual teeth based on two-stream GCN with self-attention

SJ Liu, CM Kang, FH Huang, Z Zou - IEEE Access, 2024 - ieeexplore.ieee.org
Dental triangular mesh is widely used in computer-aided oral medicine. Different from
regular data such as digital images, the structure of triangular mesh is more complex, and …

AReg IOS: Automatic Registration on IntraOralScans

N Hutin, L Anchling, L Cevidanes, F Miranda… - … Workshop on Shape in …, 2023 - Springer
This paper presents a novel method for the automatic registration of Intra Oral Scans (IOS).
Our approach uses deep learning techniques and alignment algorithms such as the Iterative …

[PDF][PDF] MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

M Reyes - 2023 - boris.unibe.ch
We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …