Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI

Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI

Bibliographic Details
Main Authors: Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Beomjun Min, Hang Joon Jo, Boreom Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Human Neuroscience
Subjects:
ADHD-200
global functional connectivity
neuroimaging
ANOVA
machine learning
revised recursive feature elimination
Online Access:http://journal.frontiersin.org/article/10.3389/fnhum.2017.00292/full
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spelling doaj-bc296b9141224417800e9d3d325630f02020-11-25T03:00:58ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612017-05-011110.3389/fnhum.2017.00292279678Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRIMuhammad Naveed Iqbal Qureshi0Jooyoung Oh1Beomjun Min2Hang Joon Jo3Boreom Lee4Department of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South KoreaDepartment of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South KoreaDepartment of Neuropsychiatry, Seoul National University HospitalSeoul, South KoreaDepartment of Neurologic Surgery, Mayo ClinicRochester, MN, United StatesDepartment of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South Koreahttp://journal.frontiersin.org/article/10.3389/fnhum.2017.00292/fullADHD-200global functional connectivityneuroimagingANOVAmachine learningrevised recursive feature elimination
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Naveed Iqbal Qureshi
Jooyoung Oh
Beomjun Min
Hang Joon Jo
Boreom Lee
spellingShingle Muhammad Naveed Iqbal Qureshi
Jooyoung Oh
Beomjun Min
Hang Joon Jo
Boreom Lee
Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
Frontiers in Human Neuroscience
ADHD-200
global functional connectivity
neuroimaging
ANOVA
machine learning
revised recursive feature elimination
author_facet Muhammad Naveed Iqbal Qureshi
Jooyoung Oh
Beomjun Min
Hang Joon Jo
Boreom Lee
author_sort Muhammad Naveed Iqbal Qureshi
title Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
title_short Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
title_full Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
title_fullStr Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
title_full_unstemmed Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
title_sort corrigendum: multi-modal, multi-measure, and multi-class discrimination of adhd with hierarchical feature extraction and extreme learning machine using structural and functional brain mri
publisher Frontiers Media S.A.
series Frontiers in Human Neuroscience
issn 1662-5161
publishDate 2017-05-01
topic ADHD-200
global functional connectivity
neuroimaging
ANOVA
machine learning
revised recursive feature elimination
url http://journal.frontiersin.org/article/10.3389/fnhum.2017.00292/full
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AT beomjunmin corrigendummultimodalmultimeasureandmulticlassdiscriminationofadhdwithhierarchicalfeatureextractionandextremelearningmachineusingstructuralandfunctionalbrainmri
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