Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.
Elisabeth HoppeGregor KörzdörferTobias WürflJens WetzlFelix LugauerJosef PfeufferAndreas K. MaierPublished in: GMDS (2017)
Keyphrases
- parameter values
- magnetic resonance
- deep learning
- mr images
- medical images
- unsupervised learning
- image data
- brain images
- image registration
- mr imaging
- unsupervised feature learning
- parameter estimation
- mr brain images
- optimal parameter values
- machine learning
- parameter space
- mental models
- mr brain
- brain tumours
- maximum likelihood
- magnetic resonance images
- weakly supervised
- higher order
- least squares
- object recognition
- multiscale
- phase contrast