Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer’s disease neuroimaging initiative

• Published in: Medical image analysis Vol. 72; p. 102123
• Main Authors: Fan, Yonghui, Wang, Gang, Dong, Qunxi, Liu, Yuxiang, Leporé, Natasha, Wang, Yalin
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.08.2021; Elsevier BV
• Subjects: Algorithms; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Bayes Theorem; Bayesian analysis; Bayesian manifold learning; Brain - diagnostic imaging; Cognitive Dysfunction; Feature extraction; Gaussian process; Gray Matter - diagnostic imaging; Humans; Image analysis; Image processing; Image reconstruction; Learning; Machine learning; Magnetic Resonance Imaging; Magnetic resonance imaging (MRI); Manifolds (mathematics); Mathematical models; Medical imaging; Medical research; Morphometry; Neurodegenerative diseases; Neuroimaging; Operators (mathematics); Spectra; Spectral shape analysis; Statistical analysis; Substantia grisea; Tetrahedral mesh; Thermodynamics; Magnetic resonance imaging (MRI); Tetrahedral mesh; Spectral shape analysis; Alzheimer’S disease; Bayesian manifold learning

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