Active MR k-space Sampling with Reinforcement Learning.
Luis PinedaSumana BasuAdriana RomeroRoberto CalandraMichal DrozdzalPublished in: MICCAI (2) (2020)
Keyphrases
- reinforcement learning
- function approximation
- random sampling
- image registration
- magnetic resonance
- sampling methods
- state space
- model free
- mr images
- learning process
- mr imaging
- learning algorithm
- dynamic programming
- temporal difference learning
- sample size
- multi agent
- markov decision processes
- neural network
- transition model
- sampling strategy
- reinforcement learning methods
- reinforcement learning algorithms
- sampling strategies
- temporal difference
- parameter space
- monte carlo
- medical images
- image data
- image analysis
- decision trees
- computer vision
- genetic algorithm