Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI.
Mehmet Yigit AvciZiyu LiQiuyun FanSusie Yi HuangBerkin BilgicQiyuan TianPublished in: CoRR (2021)
Keyphrases
- monte carlo
- deep learning
- neural network
- markov chain
- unsupervised learning
- monte carlo simulation
- unsupervised feature learning
- machine learning
- pattern recognition
- weakly supervised
- importance sampling
- markovian decision
- monte carlo tree search
- medical images
- mental models
- particle filter
- adaptive sampling
- variance reduction
- temporal difference