4 papers
ImplantMamba: Long-range Sequential Modeling Mamba For Dental Implant Position Prediction
Xinquan Yang, Congmin Wang, Xuguang Li +3
In the design of surgical guides for implant placement, determining the precise implant position is a critical step. However, the implant region itself is often characterized by a…
Adaptive Texture-aware Masking for Self-Supervised Learning in 3D Dental CBCT Analysis
Xinquan Yang, Jianfeng Ren, Xuguang Li +4
Cone Beam Computed Tomography (CBCT) is pivotal for 3D diagnostic imaging in dentistry. However, the development of robust AI models for volumetric analysis is often constrained by…
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis
Zijian Cai, Xinquan Yang, Xuguang Li +5
Panoramic X-ray is a simple and effective tool for diagnosing dental diseases in clinical practice. When deep learning models are developed to assist dentist in interpreting panora…
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network
Xinquan Yang, Xuguang Li, Xiaoling Luo +4
Surgical guide plate is an important tool for the dental implant surgery. However, the design process heavily relies on the dentist to manually simulate the implant angle and depth…