70 citations · 83 across the 5 of their papers we have counts for
5 papers
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images
Jiuli Xiong, Lanzhuju Mei, Jiameng Liu +3
Accurate lymph node detection and quantification are crucial for cancer diagnosis and staging on contrast-enhanced CT images, as they impact treatment planning and prognosis. Howev…
Cephalometric Landmark Detection across Ages with Prototypical Network
Han Wu, Chong Wang, Lanzhuju Mei +4
Automated cephalometric landmark detection is crucial in real-world orthodontic diagnosis. Current studies mainly focus on only adult subjects, neglecting the clinically crucial sc…
3D Structure-guided Network for Tooth Alignment in 2D Photograph
Yulong Dou, Lanzhuju Mei, Dinggang Shen +1
Orthodontics focuses on rectifying misaligned teeth (i.e., malocclusions), affecting both masticatory function and aesthetics. However, orthodontic treatment often involves complex…
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
Zihao Zhao, Sheng Wang, Jinchen Gu +6
The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs) presents a promising frontier in clinical applications, notably in automating diagnostic process…
SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields
Yu Fang, Lanzhuju Mei, Changjian Li +4
Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long conc…