Decrypting "Cryptogenic" Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients.
Bilal AhmedThomas ThesenKaren E. BlackmonRuben KuznieckyOrrin DevinskyCarla E. BrodleyPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- conditional random fields
- multiple sclerosis
- semi supervised
- magnetic resonance images
- pairwise
- named entity recognition
- generative model
- subcortical structures
- white matter
- clinical trials
- mr images
- temporal lobe epilepsy
- sequence labeling
- graphical models
- hidden markov models
- brain mri
- probabilistic model
- markov random field
- higher order
- magnetic resonance
- magnetic resonance imaging
- information extraction
- unsupervised learning
- random fields
- max margin learning
- crf model
- brain segmentation
- medical images
- semi supervised learning
- web page prediction
- unlabeled data
- semi markov
- partially labeled data
- medical imaging
- labeled data
- brain tissue
- structured prediction
- supervised learning
- cortical thickness
- coronary artery disease
- eeg signals
- segmentation method