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Self-Supervised Contrastive Learning to Predict Alzheimer’s Disease Progression with 3D Amyloid-PET

medRxiv(2023)10.1101/2023.04.20.23288886Source: DataRank Database

Self-Supervised Contrastive Learning to Predict Alzheimer’s Disease Progression with 3D Amyloid-PET is a research paper published in medRxiv (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (25)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Yi Su ORCID,Kewei Chen ORCID,David Weidman,Teresa Wu ORCID,Fleming Lure ORCID

Live enrichment

PubMed:37162842 OpenAlex:https://openalex.org/W4367058945

National Science Foundation

Grant: 2053170

Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 2R42AG053149-02A1

Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD

NIA NIH HHS

Grant: P30 AG072980

NIA NIH HHS

Grant: R42 AG053149

greenLicense: cc-by-nc

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/04/26/2023.04.20.23288886.full.pdf

GREENhttps://www.medrxiv.org/content/medrxiv/early/2023/04/26/2023.04.20.23288886.full.pdf

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/04/26/2023.04.20.23288886.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.04.20.23288886

repositoryhttps://doi.org/10.1101/2023.04.20.23288886

Fields of Study

Domain Adaptation and Few-Shot LearningBrain Tumor Detection and ClassificationMultimodal Machine Learning ApplicationsMedicineComputer Science0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

NeuroimagingArtificial intelligenceTask (project management)Computer scienceMachine learningDiseaseDeep learningAmyloid (mycology)Supervised learningAlzheimer's diseaseLabeled dataNeurosciencePattern recognition (psychology)PsychologyMedicineArtificial neural networkPathologyArticle

Sustainable Development Goals

SDG 3: 3. Good health