Deep-Learning-based MR Compressed Sensing using Non-randomly Under-sampled Signal in Nonlinear Phase Encoding Imaging.
Satoshi ItoShohei OuchiPublished in: APSIPA (2020)
Keyphrases
- compressed sensing
- deep learning
- nonlinear filtering
- compressive sampling
- image reconstruction
- signal processing
- fourier domain
- random projections
- unsupervised learning
- sparse representation
- image processing
- machine learning
- natural images
- frequency domain
- high resolution
- weakly supervised
- compressive sensing
- medical images
- fourier transform
- image data
- computer vision
- maximum likelihood
- radon transform
- mental models
- multiscale