78 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fudan UniversityCN14 papers
- Fudan University Shanghai Cancer CenterCN5 papers
- Imperial College LondonGB4 papers
- The University of SydneyAU3 papers
- Chinese University of Hong KongHK2 papers
- Eindhoven University of TechnologyNL2 papers
- Hong Kong University of Science and TechnologyHK2 papers
- MRC London Institute of Medical SciencesGB2 papers
- Shanghai Institute of Computing TechnologyCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Shanghai Public Health Clinical CenterCN2 papers
- ShanghaiTech UniversityCN2 papers
7 papers · 1 filter
Test-time generative augmentation for medical image segmentation
Xiao Ma, Yuhui Tao, Zetian Zhang +7
Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusion…
CLIP in Medical Imaging: A Survey
Zihao Zhao, Yuxiao Liu, Han Wu +8
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising resu…
Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version)
Kexue Fu, Jiazheng Luo, Xiaoyuan Luo +3
3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, t…
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu, Siyu Liu, Xiaoyu Liu +2
Histopathological images contain abundant phenotypic information and pathological patterns, which are the gold standards for disease diagnosis and essential for the prediction of p…
A Novel Method for the Absolute Pose Problem with Pairwise Constraints
Yinlong Liu, Xuechen Li, Manning Wang +3
Absolute pose estimation is a fundamental problem in computer vision, and it is a typical parameter estimation problem, meaning that efforts to solve it will always suffer from out…
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net
Yueyue Wang, Liang Zhao, Zhijian Song +1
Accurate segmentation of organ at risk (OAR) play a critical role in the treatment planning of image guided radiation treatment of head and neck cancer. This segmentation task is c…
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network
Dongsheng Jiang, Weiqiang Dou, Luc Vosters +3
The denoising of magnetic resonance (MR) images is a task of great importance for improving the acquired image quality. Many methods have been proposed in the literature to retriev…