4 papers
Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion
Dan He, Guofen Wang, Weisheng Li +5
Multimodal image fusion (MMIF) integrates information from different modalities to obtain a comprehensive image, aiding downstream tasks. However, existing research focuses on comp…
DM-FNet: Unified multimodal medical image fusion via diffusion process-trained encoder-decoder
Dan He, Weisheng Li, Guofen Wang +2
Multimodal medical image fusion (MMIF) extracts the most meaningful information from multiple source images, enabling a more comprehensive and accurate diagnosis. Achieving high-qu…
MCU-Net: A Multi-prior Collaborative Deep Unfolding Network with Gates-controlled Spatial Attention for Accelerated MR Image Reconstruction
Xiaoyu Qiao, Weisheng Li, Guofen Wang +1
Deep unfolding networks (DUNs) have demonstrated significant potential in accelerating magnetic resonance imaging (MRI). However, they often encounter high computational costs and…
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Xiaoyu Qiao, Weisheng Li, Bin Xiao +2
Score matching with Langevin dynamics (SMLD) method has been successfully applied to accelerated MRI. However, the hyperparameters in the sampling process require subtle tuning, ot…