SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adaptive MRI Reconstruction
Attention Mechanism (AM) selectively focuses on essential information for imaging tasks and captures relationships between distant pixel neighborhoods to compute feature representations. Accelerated MRI reconstruction benefits from AM, as the imaging process involves Fourier domain measurements that influence image representation non-locally. However, AM-based models are more adept at capturing low-frequency information with limited capacity for high-frequency representations, restricting models to smooth reconstruction. Additionally, AM-based models need mode-specific retraining for multimoda
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 46%PnP-CoSMo: A Multi-Contrast MRI Reconstruction Framework based on Content/Style Modeling [R] →
- FuzzySimilar title/name (fuzzy) · 59%microsoft/semantic-kernel →
“Fuzzy title match (0.73): “SHFormer: Dynamic Spectral Filtering Convolutional Neural Ne” ≈ “microsoft/semantic-kernel””
- LinkedLinked via arxiv author · 85%Sriprabha Ramanarayanan →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”
- LinkedLinked via arxiv author · 85%Rahul G. S. →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”
- LinkedLinked via arxiv author · 85%Mohammad Al Fahim →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”
- LinkedLinked via arxiv author · 85%Keerthi Ram →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”
- LinkedLinked via arxiv author · 85%Ramesh Venkatesan →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”
- LinkedLinked via arxiv author · 85%Mohanasankar Sivaprakasam →
“SHFormer: Dynamic Spectral Filtering Convolutional Neural Network and High-pass Kernel Generation Transformer for Adapti”