6 citations · 6 across the 5 of their papers we have counts for
Showing eess.IVShow all
3 papers · 1 filter
eess.IV2023
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…
eess.IV2023
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…
eess.IV2022★ 6 cited
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…