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eess.IV2026
Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts
Honglin Xiong, Yuxian Tang, Feng Li +4
Motion artifacts in magnetic resonance imaging (MRI) degrade diagnostic reliability. Existing deep learning methods are typically contrast-specific and fail to generalize across di…
eess.IV2024★ 2 cited
Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation
Yulin Wang, Honglin Xiong, Kaicong Sun +7
Multimodal brain magnetic resonance (MR) imaging is indispensable in neuroscience and neurology. However, due to the accessibility of MRI scanners and their lengthy acquisition tim…
eess.IV2024
Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
Xin Wang, Zhiyun Song, Yitao Zhu +4
In clinical practice, 2D magnetic resonance (MR) sequences are widely adopted. While individual 2D slices can be stacked to form a 3D volume, the relatively large slice spacing can…