267 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ShanghaiTech UniversityCN10 papers
- Shanghai Jiao Tong UniversityCN9 papers
- United Imaging Healthcare (China)CN7 papers
- Korea UniversityKR6 papers
- University of North Carolina at Chapel HillUS5 papers
- Fudan UniversityCN4 papers
- Huazhong University of Science and TechnologyCN2 papers
- Jilin UniversityCN2 papers
- Northwestern Polytechnical UniversityCN2 papers
- Shanghai Clinical Research CenterCN2 papers
- Shanghai Public Health Clinical CenterCN2 papers
- Tongren HospitalCN2 papers
7 papers · 1 filter
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization
Yiqing Shen, Yulin Luo, Dinggang Shen +1
Stain variations often decrease the generalization ability of deep learning based approaches in digital histopathology analysis. Two separate proposals, namely stain normalization…
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
Hao Hou, Jun Xu, Yingkun Hou +3
Real-world face super-resolution (SR) is a highly ill-posed image restoration task. The fully-cycled Cycle-GAN architecture is widely employed to achieve promising performance on f…
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans
Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee +11
Accurately segmenting teeth and identifying the corresponding anatomical landmarks on dental mesh models are essential in computer-aided orthodontic treatment. Manually performing…
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
Fei Shan, Yaozong Gao, Jun Wang +6
CT imaging is crucial for diagnosis, assessment and staging COVID-19 infection. Follow-up scans every 3-5 days are often recommended for disease progression. It has been reported t…
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren, Lichi Zhang, Sahar Ahmad +5
Semantic segmentation is essentially important to biomedical image analysis. Many recent works mainly focus on integrating the Fully Convolutional Network (FCN) architecture with s…
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity
Xiaohuan Cao, Jianhua Yang, Li Wang +3
Non-rigid inter-modality registration can facilitate accurate information fusion from different modalities, but it is challenging due to the very different image appearances across…
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap +1
In this paper, we propose a deep learning approach for image registration by predicting deformation from image appearance. Since obtaining ground-truth deformation fields for train…