Accurate parameter estimation using scan-specific unsupervised deep learning for relaxometry and MR fingerprinting.
Mengze GaoHuihui YeTae Hyung KimZijing ZhangSeohee SoBerkin BilgicPublished in: CoRR (2021)
Keyphrases
- parameter estimation
- deep learning
- unsupervised learning
- expectation maximization
- model selection
- maximum likelihood
- deep architectures
- weakly supervised
- em algorithm
- statistical models
- least squares
- unsupervised feature learning
- markov random field
- machine learning
- parameter estimation algorithm
- restricted boltzmann machine
- approximate inference
- medical images
- three dimensional
- image segmentation
- supervised learning
- image data
- reinforcement learning
- clustering algorithm
- computer vision
- parameter estimates
- semi supervised
- deep belief networks
- particle filter
- data mining