Rician likelihood loss for quantitative MRI using self-supervised deep learning.
Christopher S. ParkerAnna SchroderSean C. EpsteinJames ColeDaniel C. AlexanderHui ZhangPublished in: CoRR (2023)
Keyphrases
- deep learning
- magnetic resonance imaging
- unsupervised learning
- medical images
- machine learning
- unsupervised feature learning
- magnetic resonance images
- maximum likelihood
- mr images
- mental models
- weakly supervised
- restricted boltzmann machine
- high resolution
- multiscale
- computer vision
- pairwise
- segmentation algorithm
- face recognition
- superpixels
- deep architectures
- data mining