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Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals

IEEE Access(2024)10.1109/access.2024.3408840Source: DataRank Database

Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals is a research paper published in IEEE Access (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (19 grants)Impact (FWCI 1.84)OA: goldTopics (18)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Akshara R. Balachandra ORCID,Michael F. Romano ORCID,Sang Chin ORCID,Rhoda Au ORCID,Vijaya B. Kolachalama ORCID

Live enrichment

PubMed:39148927 PMC:PMC11326336 OpenAlex:https://openalex.org/W4399282662

Karen Toffler Charitable Trust, the National Institute of Diabetes and Digestive and Kidney Diseases Diabetic Complications Consortium

Grant: U24-DK115255

Strategically Focused Research Network (SFRN) Center from the American Heart Association

Grant: 20SFRN35460031

National Institutes of Health

Grant: RF1-AG062109

National Institutes of Health

Grant: U19-AG068753

National Institutes of Health

Grant: R01-HL159620

National Institutes of Health

Grant: R21-CA253498

National Institutes of Health

Grant: R43-DK134273

NIDDK NIH HHS

Grant: R43 DK134273

NHLBI NIH HHS

Grant: R01 HL159620

NIA NIH HHS

Grant: RF1 AG062109

NIA NIH HHS

Grant: U19 AG068753

NIDDK NIH HHS

Grant: U24 DK115255

NCI NIH HHS

Grant: R21 CA253498

National Institutes of Health

Grant: 5U19AG068753-02

Precision Monitoring and Assessment in the Framingham Study: Cognitive, MRI, Genetic and Biomarker Precursors of AD & Dementia

National Institutes of Health

Grant: 5R01HL159620-03

Mechanisms of drug-coated balloon therapy

National Institutes of Health

Grant: 1RF1AG062109-01A1

Cognitive Heterogeneity in those with high Alzheimer's Disease Risk

National Institutes of Health

Grant: 3U24DK115255-02S1

Coordinating Unit for DiaComp

National Institutes of Health

Grant: 1R43DK134273-01

Smartphone image analysis for real time adequacy assessment during kidney biopsy

National Institutes of Health

Grant: 1R21CA253498-01

PRISTINE: Pre-cancer histology identification of Endobronchial biopsies using deep learning

FWCI

1.84

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: CC BY NC ND

journalhttps://doi.org/10.1109/access.2024.3408840

publisherhttps://doi.org/10.1109/access.2024.3408840

publisherhttp://xplorestaging.ieee.org/ielx8/6287639/10380310/10546982.pdf?arnumber=10546982

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39148927

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11326336

Fields of Study

Medical Imaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsImage and Signal Denoising Methods03 medical and health sciences0302 clinical medicine

Keywords

Adversarial systemComputer scienceArtificial intelligenceMachine learningPattern recognition (psychology)Speech recognitionImage reconstructionAlzheimer’s diseaseMagnetic Resonance ImagingGenerative Adversarial NetworkElectrical engineering. Electronics. Nuclear engineeringArticleTK1-9971