390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN14 papers
- Fudan UniversityCN3 papers
- Huazhong University of Science and TechnologyCN3 papers
- ShanghaiTech UniversityCN3 papers
- Tongji HospitalCN3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Chinese University of Hong KongHK2 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN2 papers
- Jilin UniversityCN2 papers
- Laboratoire Charles CoulombFR2 papers
- Nanjing UniversityCN2 papers
- Nanjing University of Science and TechnologyCN2 papers
6 papers · 1 filter
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
Question Answering based Clinical Text Structuring Using Pre-trained Language Model
Jiahui Qiu, Yangming Zhou, Zhiyuan Ma +3
Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pipeline models usually suffer fr…
Signet Ring Cell Detection With a Semi-supervised Learning Framework
Jiahui Li, Shuang Yang, Xiaodi Huang +6
Signet ring cell carcinoma is a type of rare adenocarcinoma with poor prognosis. Early detection leads to huge improvement of patients' survival rate. However, pathologists can onl…
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao, Yuyao Zhang +4
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…
Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
Jun Li, Xiaozhu Lin, Hui Che +2
Pancreas segmentation in medical imaging data is of great significance for clinical pancreas diagnostics and treatment. However, the large population variations in the pancreas sha…
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation
Hao Li, Jun Li, Xiaozhu Lin +1
The irregular geometry and high inter-slice variability in computerized tomography (CT) scans of the human pancreas make an accurate segmentation of this crucial organ a challengin…