Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps.
Felix MeisterTiziano PasseriniChloé AudigierÈric LluchViorel MihalefHiroshi AshikagaAndreas MaierHenry R. HalperinTommaso MansiPublished in: M&Ms and EMIDEC/STACOM@MICCAI (2020)
Keyphrases
- left ventricle
- sparse coding
- echocardiographic images
- sparse bayesian learning
- sparse regression
- graph theory
- gaussian graphical models
- cardiac cycle
- regression model
- graph structure
- patient specific
- sparse representation
- fully automatic
- directed graph
- bipartite graph
- structured data
- support vector regression
- sparse kernel
- relevance vector machine
- left ventricular
- ultrasound images
- deformable models
- random walk
- image analysis
- canonical correlation analysis
- network architecture
- short axis
- model selection
- regression problems
- graph mining
- high dimensional