4 papers
DentalX: Context-Aware Dental Disease Detection with Radiographs
Zhi Qin Tan, Xiatian Zhu, Owen Addison +1
Diagnosing dental diseases from radiographs is time-consuming and challenging due to the subtle nature of diagnostic evidence. Existing methods, which rely on object detection mode…
MICCAI STSR 2025 Challenge: Semi-Supervised Teeth and Pulp Segmentation and CBCT-IOS Registration
Yaqi Wang, Zhi Li, Chengyu Wu +15
Cone-Beam Computed Tomography (CBCT) and Intraoral Scanning (IOS) are essential for digital dentistry, but annotated data scarcity limits automated solutions for pulp canal segment…
U-Mamba2-SSL for Semi-Supervised Tooth and Pulp Segmentation in CBCT
Zhi Qin Tan, Xiatian Zhu, Owen Addison +1
Accurate segmentation of teeth and pulp in Cone-Beam Computed Tomography (CBCT) is vital for clinical applications like treatment planning and diagnosis. However, this process requ…
U-Mamba2: Scaling State Space Models for Dental Anatomy Segmentation in CBCT
Zhi Qin Tan, Xiatian Zhu, Owen Addison +1
Cone-Beam Computed Tomography (CBCT) is a widely used 3D imaging technique in dentistry, providing volumetric information about the anatomical structures of jaws and teeth. Accurat…