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
4 papers · 1 filter
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…
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images
Junyi Qiu, Lei Li, Sihan Wang +4
Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate diagnosis and treatment planning of myocardial infarction. However, achieving this segmentation is…
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 clinically relevant online patient QA solution with daily CT scans and EPID-based in vivo dosimetry: A feasible study on rectal cancer
Liyuan Chen, Zhiyuan Zhang, Lei Yu +8
Adaptive radiation therapy (ART) could protect organs at risk (OARs) while maintain high dose coverage to targets. However, there still lack efficient online patient QA methods. We…