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Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

PLoS ONE(2023)10.1371/journal.pone.0277572Source: DataRank Database

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.

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Scored on demand from live citation data

Open Access14 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 3.56)OA: goldTopics (50)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (3)

Sudeshna Das ORCID,Hyungsoon Im ORCID,Matthew Leming ORCID

Live enrichment

PubMed:36862751 PMC:PMC9980829 OpenAlex:https://openalex.org/W4322758904

National Institutes of Health

Grant: P30AG062421

National Institutes of Health

Grant: R01GM138778

Ministry of Trade, Industry and Energy, Republic of Korea

Grant: 20009571

National Institutes of Health

Grant: 5P30AG062421-03

Massachusetts Alzheimer's Disease Research Center

National Institutes of Health

Grant: 5R01GM138778-04

Development of plasmon-enhanced biosensing for multiplexed profiling of extracellular vesicles

FWCI

3.56

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0277572&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0277572&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0277572

journalhttps://doi.org/10.1371/journal.pone.0277572

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36862751

Fields of Study

Statistical Methods and InferenceMachine Learning in HealthcareExplainable Artificial Intelligence (XAI)0301 basic medicine03 medical and health sciences0302 clinical medicineHumansFemaleUncertaintyMagnetic Resonance ImagingNeuroimagingData CollectionHospitals, General

MeSH Terms

Data CollectionFemaleHospitals, GeneralHumansMagnetic Resonance ImagingUncertaintyNeuroimaging

Keywords

ConfoundingArtificial intelligenceRegressionDeep learningMachine learningComputer scienceRegression analysisStatisticsMedicineMedical physicsMathematicsFOS: Computer and information sciencesComputer Science - Machine LearningScienceData CollectionQRUncertaintyQuantitative Biology - Tissues and OrgansNeuroimagingHospitals, GeneralMagnetic Resonance ImagingMachine Learning (cs.LG)Quantitative Biology - Neurons and CognitionFOS: Biological sciencesHumansFemaleNeurons and Cognition (q-bio.NC)Tissues and Organs (q-bio.TO)Research Article

Sustainable Development Goals

SDG 3: 3. Good health