Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity.
Wolfgang FruehwirtAdam D. CobbMartin MairhoferLeonard WeydemannHeinrich GarnReinhold SchmidtThomas BenkePeter Dal-BiancoGerhard RansmayrMarkus WaserDieter GrosseggerPengfei ZhangGeorg DorffnerStephen J. RobertsPublished in: CoRR (2018)
Keyphrases
- low cost
- neural network
- belief nets
- low power
- artificial neural networks
- pattern recognition
- fuzzy logic
- back propagation
- computer aided diagnosis
- bayesian learning
- feed forward
- digital camera
- multilayer perceptron
- recurrent neural networks
- diagnostic tool
- disease diagnosis
- disease progression
- bayesian inference
- maximum likelihood
- early diagnosis
- radial basis function
- multi layer
- fuzzy systems
- data acquisition
- model selection
- brain activity
- bayesian networks
- image analysis
- real time