Aug 2026· Journal of imaging informatics in medicine· 0 citations· 17 references
Medicine
TL;DR
A Multi-Feature Guided Progressive Divide-and-Conquer reconstruction network that achieves synergistic optimization through three novel modules provides an accurate and efficient solution for clinical rapid MRI scanning, demonstrating significant potential for clinical translation.
This study introduces a novel 3D registration framework centered on a dynamic wavelet transform module that achieves superior registration fidelity, highlighting its potential for practical clinical implementation.
Bo-Hua Chu, Bao-Ju Zhang, Bo Zhang et al.· Interdisciplinary Sciences C...· 0 citations
The Frequency Attention Residual Denoising (FARD) network is proposed, a multi-contrast fusion model that leverages both spatial and frequency-domain processing to enhance apparent isotropic detail on a 1mm3 grid for all contrasts from these complementary inputs.
Alexander Nazarov, N. Kiryati, Dani Roizen et al.· Medical Image Analysis· 0 citations
This paper proposes a frequency-aware dual-domain collaborative framework for medical image enhancement, termed FDRNet, comprising two key components: a frequency-decoupled deblurring module with asymmetric channel integration, which combines global and local views using high- and low-frequency information to preserve...
Wei-Cheng Liao, Yu-Hui Ma, Zan Chen et al.· Medical Image Analysis· 0 citations
This work proposes a complementary sparse-view scanning protocol tailored for MECT, which reduces radiation dose while maximizing angular coverage, and introduces an Online Adaptive Reconstruction (OA-Recon) framework that adapts robustly to varying acquisition settings through two designs.
Xi Wang, Tong Lin, Jiashun Wang et al.· IEEE Transactions on Medical...· 0 citations
The proposed MSGF-Net embeds a Hybrid Gradient-Frequency Attention Module (HG-FAM) within the residual bottlenecks to achieve dual-domain synergistic perception of global spectral energy and spatial gradient details and significantly outperforms existing main-stream methodologies.
Changke Yao, Li-Bin Lu, Yujie Luo et al.· Multimedia Systems· 0 citations
A reliability-guided fusion and dynamic dual-domain mask-modulated Shearlet network for medical image segmentation (RF-DMSNet for short) that achieves superior segmentation performance compared to state-of-the-art approaches for medical image segmentation.
Qing-Ting Jiang, Hai-Liang Ye, Rui Zhang et al.· Journal of imaging informati...· 0 citations
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