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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…
eess.IV2023
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
Qi Wang, Zhijie Wen, Jun Shi +3
Multi-modal magnetic resonance imaging (MRI) plays a crucial role in comprehensive disease diagnosis in clinical medicine. However, acquiring certain modalities, such as T2-weighte…