MRI-based intelligence quotient (IQ) estimation with sparse learning

10.1371/journal.pone.0117295

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Main Authors:	Wang L., Wee C.-Y., Suk H.-I., Tang X., Shen D.
Other Authors:	BIOMEDICAL ENGINEERING
Format:	Article
Published:	2019
Subjects:	adolescent age amygdaloid nucleus analytic method angular gyrus anterior cingulate Article brain region caudate nucleus child conceptual framework controlled study data analysis dirty model method elastic net method feature selection method female group lasso method hippocampus human image analysis inferior frontal gyrus inferior parietal lobule intelligence quotient intermethod comparison lingual gyrus male multi kernel support vector regression nuclear magnetic resonance imaging paracentral lobule parahippocampal gyrus single kernel support vector regression superior parietal lobule support vector machine temporal gyrus thalamus validation study algorithm clinical trial image processing intelligence intelligence test learning multicenter study procedures reproducibility theoretical model Adolescent Algorithms Child Female Humans Image Processing, Computer-Assisted Intelligence Intelligence Tests Learning Magnetic Resonance Imaging Male Models, Theoretical Reproducibility of Results
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161736
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-161736
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spelling	sg-nus-scholar.10635-1617362024-04-25T02:52:47Z MRI-based intelligence quotient (IQ) estimation with sparse learning Wang L. Wee C.-Y. Suk H.-I. Tang X. Shen D. BIOMEDICAL ENGINEERING adolescent age amygdaloid nucleus analytic method angular gyrus anterior cingulate Article brain region caudate nucleus child conceptual framework controlled study data analysis dirty model method elastic net method feature selection method female group lasso method hippocampus human image analysis inferior frontal gyrus inferior parietal lobule intelligence quotient intermethod comparison lingual gyrus male multi kernel support vector regression nuclear magnetic resonance imaging paracentral lobule parahippocampal gyrus single kernel support vector regression superior parietal lobule support vector machine temporal gyrus thalamus validation study algorithm clinical trial image processing intelligence intelligence test learning multicenter study procedures reproducibility theoretical model Adolescent Algorithms Child Female Humans Image Processing, Computer-Assisted Intelligence Intelligence Tests Learning Magnetic Resonance Imaging Male Models, Theoretical Reproducibility of Results 10.1371/journal.pone.0117295 PLoS ONE 10 3 e0117295 2019-11-07T04:59:48Z 2019-11-07T04:59:48Z 2015 Article Wang L., Wee C.-Y., Suk H.-I., Tang X., Shen D. (2015). MRI-based intelligence quotient (IQ) estimation with sparse learning. PLoS ONE 10 (3) : e0117295. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0117295 19326203 https://scholarbank.nus.edu.sg/handle/10635/161736 CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	adolescent age amygdaloid nucleus analytic method angular gyrus anterior cingulate Article brain region caudate nucleus child conceptual framework controlled study data analysis dirty model method elastic net method feature selection method female group lasso method hippocampus human image analysis inferior frontal gyrus inferior parietal lobule intelligence quotient intermethod comparison lingual gyrus male multi kernel support vector regression nuclear magnetic resonance imaging paracentral lobule parahippocampal gyrus single kernel support vector regression superior parietal lobule support vector machine temporal gyrus thalamus validation study algorithm clinical trial image processing intelligence intelligence test learning multicenter study procedures reproducibility theoretical model Adolescent Algorithms Child Female Humans Image Processing, Computer-Assisted Intelligence Intelligence Tests Learning Magnetic Resonance Imaging Male Models, Theoretical Reproducibility of Results
spellingShingle	adolescent age amygdaloid nucleus analytic method angular gyrus anterior cingulate Article brain region caudate nucleus child conceptual framework controlled study data analysis dirty model method elastic net method feature selection method female group lasso method hippocampus human image analysis inferior frontal gyrus inferior parietal lobule intelligence quotient intermethod comparison lingual gyrus male multi kernel support vector regression nuclear magnetic resonance imaging paracentral lobule parahippocampal gyrus single kernel support vector regression superior parietal lobule support vector machine temporal gyrus thalamus validation study algorithm clinical trial image processing intelligence intelligence test learning multicenter study procedures reproducibility theoretical model Adolescent Algorithms Child Female Humans Image Processing, Computer-Assisted Intelligence Intelligence Tests Learning Magnetic Resonance Imaging Male Models, Theoretical Reproducibility of Results Wang L. Wee C.-Y. Suk H.-I. Tang X. Shen D. MRI-based intelligence quotient (IQ) estimation with sparse learning
description	10.1371/journal.pone.0117295
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING Wang L. Wee C.-Y. Suk H.-I. Tang X. Shen D.
format	Article
author	Wang L. Wee C.-Y. Suk H.-I. Tang X. Shen D.
author_sort	Wang L.
title	MRI-based intelligence quotient (IQ) estimation with sparse learning
title_short	MRI-based intelligence quotient (IQ) estimation with sparse learning
title_full	MRI-based intelligence quotient (IQ) estimation with sparse learning
title_fullStr	MRI-based intelligence quotient (IQ) estimation with sparse learning
title_full_unstemmed	MRI-based intelligence quotient (IQ) estimation with sparse learning
title_sort	mri-based intelligence quotient (iq) estimation with sparse learning
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161736
_version_	1800913807178989568

MRI-based intelligence quotient (IQ) estimation with sparse learning

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