1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
LMS-Net: A Learned Mumford-Shah Network For Few-Shot Medical Image Segmentation
Shengdong Zhang, Fan Jia, Xiang Li +4
Few-shot semantic segmentation (FSS) methods have shown great promise in handling data-scarce scenarios, particularly in medical image segmentation tasks. However, most existing FS…
eess.IV2025
Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
Hao Zhang, Qi Wang, Jian Sun +3
Magnetic Resonance Imaging (MRI) is widely used in clinical practice, but suffered from prolonged acquisition time. Although deep learning methods have been proposed to accelerate…
eess.IV2023
Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction
Hao Zhang, Qi Wang, Jun Shi +2
Multi-modal Magnetic Resonance Imaging (MRI) offers complementary diagnostic information, but some modalities are limited by the long scanning time. To accelerate the whole acquisi…