2 citations · 4 across the 5 of their papers we have counts for
5 papers
Faithful learning with sure data for lung nodule diagnosis
Hanxiao Zhang, Liang Chen, Xiao Gu +6
Recent evolution in deep learning has proven its value for CT-based lung nodule classification. Most current techniques are intrinsically black-box systems, suffering from two gene…
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding
Weihao Yu, Hao Zheng, Minghui Zhang +3
Airway segmentation is critical for virtual bronchoscopy and computer-aided pulmonary disease analysis. In recent years, convolutional neural networks (CNNs) have been widely used…
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Minghui Zhang, Xin Yu, Hanxiao Zhang +5
3D Convolutional Neural Networks (CNNs) have been widely adopted for airway segmentation. The performance of 3D CNNs is greatly influenced by the dataset while the public airway da…
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
Xiao Gu, Jianxin Yang, Hanxiao Zhang +5
Accurate estimation of three-dimensional human skeletons from depth images can provide important metrics for healthcare applications, especially for biomechanical gait analysis. Ho…
DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
Hanxiao Zhang, Jingxiong Li, Mali Shen +2
Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes. In this paper, three patterns (cross-skip, skip-1 and…