111 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fudan UniversityCN14 papers
- Shanghai Jiao Tong UniversityCN6 papers
- Shanghai Center for Brain Science and Brain-Inspired TechnologyCN4 papers
- Shanghai Chest HospitalCN2 papers
- University of Shanghai for Science and TechnologyCN2 papers
- Army Medical UniversityCN1 paper
- Children's Hospital of Zhejiang UniversityCN1 paper
- China Pharmaceutical UniversityCN1 paper
- Daping HospitalCN1 paper
- East China University of Science and TechnologyCN1 paper
- Frontiers Center for Brain Science of the Ministry of EducationCN1 paper
- Group Sense (China)CN1 paper
5 papers · 1 filter
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
Yiqin Zhang, Meiling Chen, Zhengjie Zhang
Whether during the early days of popularization or in the present, the window setting in Computed Tomography (CT) has always been an indispensable part of the CT analysis process.…
HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
Chenhui Wang, Yiming Lei, Tao Chen +3
Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease (AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtyp…
MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-based Neural Network (TWENN)
Shengyuan Ma, Runke Wang, Suhao Qiu +7
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquire…
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
Haibo Yang, Shengjie Zhang, Xiaoyang Han +4
Small lesions in magnetic resonance imaging (MRI) images are crucial for clinical diagnosis of many kinds of diseases. However, the MRI quality can be easily degraded by various no…
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Guotai Wang, Tao Song, Qiang Dong +3
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (CTP) images is important for accurate diagnosis of stroke in acute care units. However, it is challenged by…