6 citations · 6 across the 4 of their papers we have counts for
4 papers
On the Federated Learning Framework for Cooperative Perception
Zhenrong Zhang, Jianan Liu, Xi Zhou +4
Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises…
Unpaired MRI Super Resolution with Contrastive Learning
Hao Li, Quanwei Liu, Jianan Liu +4
Magnetic resonance imaging (MRI) is crucial for enhancing diagnostic accuracy in clinical settings. However, the inherent long scan time of MRI restricts its widespread applicabili…
Efficient MRI Parallel Imaging Reconstruction by K-Space Rendering via Generalized Implicit Neural Representation
Hao Li, Yusheng Zhou, Jianan Liu +5
High-resolution magnetic resonance imaging (MRI) is essential in clinical diagnosis. However, its long acquisition time remains a critical issue. Parallel imaging (PI) is a common…
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
Jianan Liu, Hao Li, Tao Huang +6
High-resolution (HR) magnetic resonance imaging is critical in aiding doctors in their diagnoses and image-guided treatments. However, acquiring HR images can be time-consuming and…