most citedInnovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation

Xinxin Zhao, Jinpeng Ye, Bo Wei +8

Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…

cs.CV2026

SVGS: Single-View to 3D Object Editing via Gaussian Splatting

Pengcheng Xue, Yan Tian, Qiutao Song +7

Text-driven 3D scene editing has attracted considerable interest due to its convenience and user-friendliness. However, methods that rely on implicit 3D representations, such as Ne…

cs.CV2026

DM-CFO: A Diffusion Model for Compositional 3D Tooth Generation with Collision-Free Optimization

Yan Tian, Pengcheng Xue, Weiping Ding +5

The automatic design of a 3D tooth model plays a crucial role in dental digitization. However, current approaches face challenges in compositional 3D tooth generation because both…

cs.CV2026★ 7 cited

Innovative Tooth Segmentation Using Hierarchical Features and Bidirectional Sequence Modeling

Xinxin Zhao, Jian Jiang, Yan Tian +5

Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead to discontinuous segmentat…

eess.IV2023★ 1 cited

Survey on deep learning in multimodal medical imaging for cancer detection

Yan Tian, Zhaocheng Xu, Yujun Ma +6

The task of multimodal cancer detection is to determine the locations and categories of lesions by using different imaging techniques, which is one of the key research methods for…