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| 2D-PCA Shape Models: Application to 3D Reconstruction of the Human | teeth | from a Single Image |
| 3D human | teeth | database construction based on a point-based shape registration, A |
| Application of Photogrammetric Techniques in Palaeoodontological Studies Trough Automated Digital Shape Analysis of Human | teeth | |
| Automated landmark points detection by using a mixture of approaches: the vole- | teeth | case |
| Automatic classification of | teeth | in bitewing dental images |
| Automatic | teeth | segmentation on panoramic X-rays using deep neural networks |
| Bayes Reconstruction of Missing | teeth | |
| Classification and numbering of | teeth | in dental bitewing images |
| Dental biometrics: Human identification based on | teeth | and dental works in bitewing radiographs |
| effective classification and numbering system for dental bitewing radiographs using | teeth | region and contour information, An |
| Extraction of | teeth | Shapes from Orthopantomograms for Forensic Human Identification |
| Gender Identification on the | teeth | Based on Principal Component Analysis Representation |
| Human Identification System Based on PCA Using Geometric Features of | teeth | |
| Individual tooth segmentation in human | teeth | images using pseudo edge-region obtained by deep neural networks |
| MICCAI 2023 STS Challenge: A retrospective study of semi-supervised approaches for | teeth | segmentation |
| Model-Based Human | teeth | Shape Recovery from a Single Optical Image with Unknown Illumination |
| Multi-stage Approach for 3D | teeth | Segmentation from Dentition Surfaces, A |
| Occlusal surface reconstruction of human | teeth | from a single image based on object and sensor physical characteristics |
| Optimal occlusion of | teeth | using planar structure information |
| Photogrammetric technique for | teeth | occlusion analysis in dentistry |
| Real-time Rendering of | teeth | with No Preprocessing |
| Realistic 3D reconstruction of the human | teeth | using shape from shading with shape priors |
| Reconstructing | teeth | with Bite Information |
| Robust Hybrid Learning for Automatic | teeth | Segmentation and Labeling on 3D Dental Models |
| Self-Supervised Learning with Masked Autoencoders for | teeth | Segmentation from Intra-oral 3D Scans |
| Self-Supervised Learning with Masked Image Modeling for | teeth | Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs |
| Shape-from-shading using sensor and physical object characteristics applied to human | teeth | surface reconstruction |
| Statistical morphable model for human | teeth | restoration |
| teeth | category classification via seven-layer deep convolutional neural network with max pooling and global average pooling |
| teeth | Image Recognition for Biometrics |
| teeth | segmentation in 3D dentition models for the virtual articulator |
| teeth | -SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment Based on Multi-Scale Aggregation and Anthropic Prior Knowledge |
| Wavelet representations for monitoring changes in | teeth | imaged with digital imaging fiber-optic transillumination |
| Weeping and Gnashing of | teeth | : Teaching Deep Learning in Image and Video Processing Classes |
| Zero-Shot Learning and Detection of | teeth | in Images of Bat Skulls |
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