15 citations · 33 across the 10 of their papers we have counts for
10 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…
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction
Xinquan Yang, Jinheng Xie, Xuechen Li +3
In implant prosthesis treatment, the surgical guide of implant is used to ensure accurate implantation. However, such design heavily relies on the manual location of the implant po…
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
Xinquan Yang, Jinheng Xie, Xuguang Li +4
When deep neural network has been proposed to assist the dentist in designing the location of dental implant, most of them are targeting simple cases where only one missing tooth i…
Two-Stream Regression Network for Dental Implant Position Prediction
Xinquan Yang, Xuguang Li, Xuechen Li +4
In implant prosthesis treatment, the design of the surgical guide heavily relies on the manual location of the implant position, which is subjective and prone to doctor's experienc…
ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data
Xinquan Yang, Xuguang Li, Xuechen Li +3
Implant prosthesis is the most appropriate treatment for dentition defect or dentition loss, which usually involves a surgical guide design process to decide the implant position.…
IPS300+: a Challenging Multimodal Dataset for Intersection Perception System
Huanan Wang, Xinyu Zhang, Jun Li +4
Due to the high complexity and occlusion, insufficient perception in the crowded urban intersection can be a serious safety risk for both human drivers and autonomous algorithms, w…
BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China
Deng Yongqiang, Wang Dengjiang, Cao Gang +6
As the roadside perception plays an increasingly significant role in the Connected Automated Vehicle Highway(CAVH) technologies, there are immediate needs of challenging real-world…