Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks.
Karl Thurnhofer-HemsiEzequiel López-RubioNúria Roé-VellvéEnrique DomínguezMiguel A. Molina-CabelloPublished in: IJCNN (2018)
Keyphrases
- magnetic resonance images
- super resolution
- high resolution
- convolutional neural networks
- low resolution
- image reconstruction
- medical images
- image restoration
- low resolution images
- mr images
- remote sensing
- high resolution images
- high quality
- white matter
- resolution enhancement
- magnetic resonance imaging
- image super resolution
- super resolution reconstruction
- multi frame
- diffusion tensor
- super resolved
- image processing
- depth map
- motion blur
- motion estimation
- medical imaging
- light field
- imaging process
- pattern recognition
- multiscale
- facial expressions
- face images