Structural neuroimaging as clinical predictor: A review of machine learning applications

In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve th...

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Bibliographic Details
Main Authors: José María Mateos-Pérez, Mahsa Dadar, María Lacalle-Aurioles, Yasser Iturria-Medina, Yashar Zeighami, Alan C. Evans
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158218302602