O'Reilly logo

Academic Press Library in Signal Processing by Sergios Theodoridis

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 12

Identifying Multivariate Imaging Patterns: Supervised, Semi-Supervised, and Unsupervised Learning Perspectives

Roman Filipovych, Bilwaj Gaonkar and Christos Davatzikos,    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA

Abstract

One of the limitations of conventional mass-univariate group analyzes using voxel-wise statistical tests is their inability to provide sensitive and specific markers of diseases on an individual basis, and thus to serve as diagnostic and prognostic tools. Recent advances in machine learning methods and their applications to neuroimaging studies have shown that multivariate imaging patterns have the potential to identify and predict diagnoses ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required