Graph convolutional regression of cardiac depolarization from sparse endocardial maps.
Felix MeisterTiziano PasseriniChloé AudigierÈric LluchViorel MihalefHiroshi AshikagaAndreas K. MaierHenry R. HalperinTommaso MansiPublished in: CoRR (2020)
Keyphrases
- left ventricle
- sparse coding
- sparse bayesian learning
- echocardiographic images
- random walk
- sparse regression
- regression model
- gaussian graphical models
- canonical correlation analysis
- fully automatic
- deformable models
- sparse kernel
- cardiac cycle
- graph theory
- graph representation
- high dimensional
- patient specific
- structured data
- linear regression
- graph structure
- directed graph
- ultrasound images
- topological map
- relevance vector machine
- support vector
- graph mining
- medical images
- model selection
- regression problems
- short axis
- deep learning
- ecg signals
- bipartite graph
- low rank
- network architecture