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A lightweight progressive aggregation network for multi-contrast MRI super-resolution
2026/07/27 by
Jiacong Chen
,
Wenjing Chen
,
Longfeng Shen
+1
paper
· doi:10.1007/s00530-026-02576-4
Citations
Omni Aggregation Networks for Lightweight Image Super-Resolution
Residual Local Feature Network for Efficient Super-Resolution
Activating More Pixels in Image Super-Resolution Transformer
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution
Restormer: Efficient Transformer for High-Resolution Image Restoration
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
SwinIR: Image Restoration Using Swin Transformer
Early Convolutions Help Transformers See Better
Multi-Modal Transformer for Accelerated MR Imaging
TransMed: Transformers Advance Multi-modal Medical Image Classification
Joint multi-contrast Variational Network reconstruction (jVN) with\n application to rapid 2D and 3D imaging
Time-Dependent Deep Image Prior for Dynamic MRI
A multi-contrast MRI approach to thalamus segmentation
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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)