70 citations · 182 across the 18 of their papers we have counts for
4 papers · 1 filter
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
Zheren Li, Zhiming Cui, Sheng Wang +7
Lesion detection is a fundamental problem in the computer-aided diagnosis scheme for mammography. The advance of deep learning techniques have made a remarkable progress for this t…
Dense Representative Tooth Landmark/axis Detection Network on 3D Model
Guangshun Wei, Zhiming Cui, Jie Zhu +5
Artificial intelligence (AI) technology is increasingly used for digital orthodontics, but one of the challenges is to automatically and accurately detect tooth landmarks and axes.…
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection
Runnan Chen, Yuexin Ma, Nenglun Chen +4
Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucial to assessing and quantifying the anatomical abnormalities in 3D cephalometric analysis. However, the curre…
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Runnan Chen, Yuexin Ma, Lingjie Liu +4
Well-annotated medical images are costly and sometimes even impossible to acquire, hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates the rel…