collaborators

9 papers

cs.CV2026

Structure-aware Knowledge-guided Heterogeneous Mamba for Zygomaticomaxillary Suture Assessment

Xiaoqi Guo, Birui Chen, Xinquan Yang +8

The Zygomaticomaxillary Suture is a key circummaxillary structure that connects the zygomatic bone and the maxilla, which serves as a primary site of resistance during maxillary ad…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

Xuefen Liu, Xinquan Yang, Mianjie Zheng +5

As dental caries appear as subtle, low-contrast lesions in intraoral imaging, existing deep learning models face significant challenges in the early detection of caries. While rece…

cs.CV2026

Text-Conditioned Multi-Expert Regression Framework for Fully Automated Multi-Abutment Design

Mianjie Zheng, Xinquan Yang, Xuefen Liu +4

Dental implant abutments serve as the geometric and biomechanical interface between the implant fixture and the prosthetic crown, yet their design relies heavily on manual effort a…

cs.CV2026

DinoDental: Benchmarking DINOv3 as a Unified Vision Encoder for Dental Image Analysis

Kun Tang, Xinquan Yang, Mianjie Zheng +6

The scarcity and high cost of expert annotations in dental imaging present a significant challenge for the development of AI in dentistry. DINOv3, a state-of-the-art, self-supervis…