Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting.
Karl Thurnhofer-HemsiEzequiel López-RubioEnrique DomínguezRafael Marcos Luque BaenaNúria Roé-VellvéPublished in: Neurocomputing (2020)
Keyphrases
- magnetic resonance images
- deep learning
- super resolution
- high resolution
- low resolution
- image reconstruction
- image restoration
- unsupervised learning
- low resolution images
- mr images
- medical images
- high quality
- single image
- magnetic resonance imaging
- machine learning
- motion blur
- depth map
- mental models
- motion estimation
- medical imaging
- remote sensing
- imaging process
- face recognition
- image processing
- image patches
- multi view
- denoising