Removing outliers from the normative database improves regional atrophy detection in single-subject voxel-based morphometry - Schultz, Vivian; Hedderich, Dennis M.; Schmitz-Koep, Benita; Schinz, David; Zimmer, Claus; Yakushev, Igor; Apostolova, Ivayla; Özden, Cansu; Opfer, Roland; Buchert, Ralph (Neuroradiology, 2024)
Keywords: Alzheimer Disease - pathology; Alzheimer's disease; Artificial intelligence in neuroradiology; Atrophy; Atrophy - pathology; Biomarkers; Brain - pathology; Cleaning; Data analysis; Datasets; Degeneration; Diagnostic Neuroradiology; Frontotemporal dementia; Frontotemporal Lobar Degeneration - diagnosis; Frontotemporal Lobar Degeneration - pathology; Humans; Imaging; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medicine; Medicine & Public Health; Morphometry; Neurodegenerative diseases; Neurology; Neuroradiology; Neurosciences; Neurosurgery; Outliers (statistics); Positron emission; Positron-Emission Tomography - methods; Radiology; Scanners; Sensitivity; Statistical analysis; Brain; Normative database; Magnetic resonance imaging; Neurodegeneration; Voxel-based-morphometry