313 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN3 papers
- Guangdong Academy of Medical SciencesCN3 papers
- Henan Provincial People's HospitalCN3 papers
- Shenzhen Institutes of Advanced TechnologyCN3 papers
- South China University of TechnologyCN2 papers
- Wuhan UniversityCN2 papers
- Chengdu UniversityCN1 paper
- École de Technologie SupérieureCA1 paper
- Guangdong Provincial Hospital of Traditional Chinese MedicineCN1 paper
- Guizhou Provincial People's HospitalCN1 paper
- IBM Research - Thomas J. Watson Research CenterUS1 paper
- InsermFR1 paper
4 papers · 1 filter
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang +12
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training…
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising
Jinglan Liu, Yukun Ding, Jinjun Xiong +6
CT image denoising can be treated as an image-to-image translation task where the goal is to learn the transform between a source domain (noisy images) and a target domain …
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
Cheng Li, Hui Sun, Zaiyi Liu +3
Multi-modal magnetic resonance imaging (MRI) is essential in clinics for comprehensive diagnosis and surgical planning. Nevertheless, the segmentation of multi-modal MR images tend…
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies
Kehan Qi, Hao Yang, Cheng Li +4
The morbidity of brain stroke increased rapidly in the past few years. To help specialists in lesion measurements and treatment planning, automatic segmentation methods are critica…