Sensors (Basel, Switzerland)Magnetic Resonance ImagingHumansImage ProcessingComputer-AssistedNeural Networks
CHARMS: A CNN-Transformer Hybrid with Attention Regularization for MRI Super-Resolution.
Xia Li, Haicheng Sun, Tie-Qiang Li
Published: 202610.3390/s26020738
Abstract
Magnetic resonance imaging (MRI) super-resolution (SR) enables high-resolution reconstruction from low-resolution acquisitions, reducing scan time and easing hardware demands. However, most deep learning-based SR models are large and computationally…
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