80 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN11 papers
- Ritsumeikan UniversityJP3 papers
- Zhejiang University of Science and TechnologyCN3 papers
- Hangzhou Dianzi UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Zhejiang LabCN2 papers
- Army Medical UniversityCN1 paper
- Beijing Hua Xin HospitalCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese University of Hong KongHK1 paper
6 papers · 1 filter
Robust Simultaneous Multislice MRI Reconstruction Using Slice-Wise Learned Generative Diffusion Priors
Shoujin Huang, Guanxiong Luo, Yunlin Zhao +8
Simultaneous multislice (SMS) imaging is a powerful technique for accelerating magnetic resonance imaging (MRI) acquisitions. However, SMS reconstruction remains challenging due to…
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
Yue Zhang, Chengtao Peng, Liying Peng +8
Multi-phase computed tomography (CT) images provide crucial complementary information for accurate liver tumor segmentation (LiTS). State-of-the-art multi-phase LiTS methods usuall…
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
Yingying Xu, Ming Cai, Lanfen Lin +10
In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is new…
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Hanliang Jiang, Fuhao Shen, Fei Gao +1
Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers. Recently, deep learning techniques have enabled remarkable progress in this field. Ho…
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Yesheng Xu, Ming Kong, Wenjia Xie +7
Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues. Infectio…
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
Recently, a growing interest has been seen in deep learning-based semantic segmentation. UNet, which is one of deep learning networks with an encoder-decoder architecture, is widel…