Constrained manifold learning for the characterization of pathological deviations from normality

► Models a pathological pattern as a deviation from normality along a smooth manifold. ► Each subject is represented by a map of local abnormalities. ► Constraining the manifold to pass by a physiologically meaningful origin representing normality. ► Relevant inter-subjects comparison: distance to the manifold and distance to normality along the manifold.