Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps.
James C. SandersPhilipp RittTorsten KuwertA. Hans VijaAndreas K. MaierPublished in: IEEE Trans. Medical Imaging (2016)
Keyphrases
- fully automated
- spect images
- laplacian eigenmaps
- empirical mode decomposition
- fully automatic
- manifold learning
- kernel pca
- left ventricular
- signal processing
- normal subjects
- non stationary
- low dimensional
- mri data
- frequency domain
- linear combination
- clinical data
- principal component analysis
- machine learning
- high dimensional