Predicting Brain Electrical Stimulation Outcome in Stroke by Clinical-inspired Hybrid Graph Convolutional Autoencoder.
Jiahua XuZheng WuAndreas NürnbergerBernhard A. SabelPublished in: ICHMS (2021)
Keyphrases
- electrical activity
- brain imaging
- restricted boltzmann machine
- ischemic stroke
- directed graph
- human brain
- structured data
- graph structure
- disease progression
- traumatic brain injury
- deep learning
- clinical practice
- graph representation
- brain images
- weighted graph
- neural network
- graph matching
- transmission line
- spanning tree
- clinical trials
- eeg signals
- graph model
- clinical data
- magnetic resonance images
- bipartite graph
- medical imaging
- random walk