Neural Proximal Gradient Descent for Compressive Imaging.
Morteza MardaniQingyun SunShreyas VasawanalaVardan PapyanHatef MonajemiJohn M. PaulyDavid L. DonohoPublished in: CoRR (2018)
Keyphrases
- learning rules
- network architecture
- cost function
- neural network
- compressive sensing
- imaging systems
- high resolution
- bio inspired
- image processing
- clinical applications
- image analysis
- neural fuzzy
- biologically inspired
- loss function
- artificial neural networks
- objective function
- medical imaging
- synthetic aperture
- three dimensional
- mathematical modeling
- sampling rate
- optical coherence tomography
- imaging technology
- acquired images
- neural model
- principal component analysis
- image acquisition
- data acquisition