Active MR k-space Sampling with Reinforcement Learning.
Luis PinedaSumana BasuAdriana RomeroRoberto CalandraMichal DrozdzalPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- random sampling
- image registration
- magnetic resonance
- function approximation
- medical images
- monte carlo
- state space
- mr images
- sampling strategies
- machine learning
- sampling rate
- robotic control
- model free
- supervised learning
- image data
- learning algorithm
- dynamical systems
- sample size
- dynamic programming
- action selection
- active databases
- action space
- sampled data
- stochastic approximation
- neural network
- data sets