Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Mostafa Mehdipour-GhaziMads NielsenAkshay PaiM. Jorge CardosoMarc ModatSébastien OurselinLauge SørensenPublished in: Medical Image Anal. (2019)
Keyphrases
- recurrent neural networks
- incomplete data
- echo state networks
- recurrent networks
- neural network
- missing data
- missing values
- learning algorithm
- artificial neural networks
- feed forward
- disease progression
- training set
- mathematical modeling
- computer aided
- incomplete data sets
- dynamical systems
- probabilistic model
- data analysis
- support vector
- bayesian networks
- computer vision