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Sparse Representation and Dictionary Learning Model Incorporating Group Sparsity and Incoherence to Extract Abnormal Brain Regions Associated With Schizophrenia

IEEE Access(2020)10.1109/access.2020.2999513Source: DataRank Database

Sparse Representation and Dictionary Learning Model Incorporating Group Sparsity and Incoherence to Extract Abnormal Brain Regions Associated With Schizophrenia is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (21 grants)Impact (FWCI 0.30)OA: goldTopics (27)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Yongfeng Ju ORCID,Yipu Zhang ORCID,Kaiming Wang ORCID,Suying Jiang ORCID,Yu‐Ping Wang ORCID

Live enrichment

PubMed:33747675 PMC:PMC7971409 OpenAlex:https://openalex.org/W3033694671

National Institutes of Health

Grant: R01GM109068

National Institutes of Health

Grant: R01MH104680

National Institutes of Health

Grant: R01MH107354

National Institutes of Health

Grant: RO1AR059781

National Institutes of Health

Grant: R01EB006841

National Institutes of Health

Grant: R01EB005846

National Institutes of Health

Grant: P20GM103472

Fundamental Research Funds for the Central Universities, Chang'an University

Grant: 300102329102

Natural Science Foundation of Shaanxi

Grant: 2019JM-536

NIMH NIH HHS

Grant: R01 MH118695

NIA NIH HHS

Grant: U19 AG055373

NIBIB NIH HHS

Grant: R01 EB020407

NIAMS NIH HHS

Grant: R01 AR059781

NIMH NIH HHS

Grant: R01 MH123610

National Institutes of Health

Grant: 5R01MH107354-03

Integration of fMRI imaging, genomics, network and biological knowledge

National Institutes of Health

Grant: 2R01EB005846-05A1

Informed Data-Driven Fusion of Behavior, Brain Function, and Genes

National Institutes of Health

Grant: 4P20GM103472-09

Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &

National Institutes of Health

Grant: 3R01EB006841-10S1

Multivariate methods for identifying multitask/multimodal brain imaging biomarkers

National Institutes of Health

Grant: 5R01MH104680-03

Integration of brain imaging with genomic and epigenomic data

National Institutes of Health

Grant: 5R01GM109068-04

Integration of multiscale genomic data for comprehensive analysis of complex dise

National Science Foundation

FWCI

0.30

Citation Percentile

0.5%

Citation Trend

2021

2023

2024

goldLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09107250.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/8948470/09107250.pdf

publisherhttps://ieeexplore.ieee.org/ielam/6287639/8948470/9107250-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/8948470/09107250.pdf?arnumber=9107250

journalhttps://doi.org/10.1109/access.2020.2999513

Fields of Study

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications03 medical and health sciences0302 clinical medicine

Keywords

Computer scienceNeural codingArtificial intelligenceSparse approximationFunctional magnetic resonance imagingPattern recognition (psychology)Singular value decompositionCoherence (philosophical gambling strategy)A priori and a posterioriCompressed sensingUniquenessMachine learningMathematicsPsychologyStatisticsSchizophreniaGroup SparsityIncoherenceAbnormal Brain RegionsSparse Representation And Dictionary LearningElectrical engineering. Electronics. Nuclear engineeringTK1-9971

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Reduced inequalities