MRI to MGMT: Predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.
Lichy HanMaulik R. KamdarPublished in: PSB (2018)
Keyphrases
- recurrent neural networks
- magnetic resonance imaging
- medical images
- magnetic resonance images
- mri data
- neural network
- feed forward
- myocardial infarction
- healthy volunteers
- medical data
- reservoir computing
- multiple sclerosis
- medical imaging
- feedforward neural networks
- echo state networks
- complex valued
- recurrent networks
- hidden layer
- clinical studies
- artificial neural networks
- neural model
- clinical data
- post operative
- mr images
- white matter
- cascade correlation
- clinical trials
- blood pressure
- magnetic resonance
- normal subjects
- nonlinear dynamic systems
- artificial intelligence