Maximum Likelihood Estimation with Deep Learning for Multiple Sclerosis Progression Prediction.
Tsvetan AsamovPetar IvanovAnna AksenovaDimitar TaskovSvetla BoytchevaPublished in: CLEF (Working Notes) (2023)
Keyphrases
- maximum likelihood estimation
- deep learning
- multiple sclerosis
- maximum likelihood
- unsupervised learning
- em algorithm
- machine learning
- brain mri
- disease progression
- probability distribution
- expectation maximization
- parameter estimation
- white matter
- clinical trials
- density function
- magnetic resonance images
- magnetic resonance
- mental models
- weakly supervised
- image data
- mr images
- text classification
- markov random field
- decision making