147 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Capital Normal UniversityCN18 papers
- Beihang UniversityCN17 papers
- Chinese Academy of SciencesCN17 papers
- Tsinghua UniversityCN16 papers
- Max Planck Institute for Mathematics in the SciencesDE12 papers
- Institute of PhysicsPL10 papers
- University of Science and Technology BeijingCN10 papers
- University of Chinese Academy of SciencesCN9 papers
- Max Planck Institute for MathematicsDE8 papers
- Academy of Mathematics and Systems ScienceCN7 papers
- Beijing Institute of TechnologyCN6 papers
- Beijing University of Posts and TelecommunicationsCN6 papers
4 papers · 1 filter
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
Heng Li, Ziqin Lin, Zhongxi Qiu +4
Medical imaging provides many valuable clues involving anatomical structure and pathological characteristics. However, image degradation is a common issue in clinical practice, whi…
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Heng Li, Haofeng Liu, Huazhu Fu +5
Fundus photography is prone to suffer from image quality degradation that impacts clinical examination performed by ophthalmologists or intelligent systems. Though enhancement algo…
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
Hong Wang, Yuexiang Li, Haimiao Zhang +2
During the computed tomography (CT) imaging process, metallic implants within patients often cause harmful artifacts, which adversely degrade the visual quality of reconstructed CT…
Joint bi-modal image reconstruction of DOT and XCT with an extended Mumford-Shah functional
Di He, Ming Jiang, Alfred K. Louis +2
Feature similarity measures are indispensable for joint image reconstruction in multi-modality medical imaging, which enable joint multi-modal image reconstruction (JmmIR) by commu…