Yonghong Shi — accepted AI-conference papers

2026

Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction

Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi

AAAI 2026technical

The challenge of accelerated MRI reconstruction lies in recovering high-quality images from undersampled k-space. Recently, the selective state space model (Mamba) has shown promising results in various tasks with balanced global receptive field and computational efficiency, shedding new light on MR

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2025

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

Yucong Meng, Zhiwei Yang, Yonghong Shi, Zhijian Song

AAAI 2025technical

The accelerated MRI reconstruction process presents a challenging ill-posed inverse problem due to the extensive under-sampling in k-space. Recently, Vision Transformers (ViTs) have become the mainstream for this task, demonstrating substantial performance improvements. However, there are still thre…

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