title: Recent novel methods and approaches in sparsity-based compressive sensing and sparse learning have shown promising results. Introduction.
authors.affiliation: Distinguished Professor, Department of Computer Science, Rutgers University.. Electronic address: dnm@cs.rutgers.edu.
authors.forename: Dimitris
authors.initials: D
authors.lastname: N Metaxas
authors.affiliation: Professor of Radiology, Medicine, Neuroscience and Physiology NYUMC (New York University Medical Center).. Electronic address: Leon.Axel@nyumc.org.
authors.forename: Leon
authors.initials: L
authors.lastname: Axel
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000639:trends*; D008279:Magnetic Resonance Imaging; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted