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Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry

Modern Pathology(2023)10.1016/j.modpat.2023.100373Source: DataRank Database

Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry is a research paper published in Modern Pathology (2023). On theSindex it has a DataRank of 0.520. It has been cited 31 times.

N/A

0.520DataRank · unranked

Scored on demand from live citation data

Open Access31 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 3.09)OA: bronzeTopics (39)IDs (PubMed, 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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.520

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (4)

Lee Cooper ORCID,David L. Jaye ORCID,Olga Pozdnyakova ORCID,Joshua E. Lewis ORCID

Live enrichment

PubMed:37925056 OpenAlex:https://openalex.org/W4388295242

National Institutes of Health

Grant: U24CA19436201

National Cancer Institute Division of Cancer Epidemiology and Genetics

Grant: U01CA220401

National Institutes of Health

Grant: 7U01CA220401-03

Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling

FWCI

3.09

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

bronzeLicense: Elsevier Non-Commercial

journalhttp://www.modernpathology.org/article/S0893395223002788/pdf

publisherhttp://www.modernpathology.org/article/S0893395223002788/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0893395223002788?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0893395223002788?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.modpat.2023.100373

Fields of Study

Digital Imaging for Blood DiseasesAcute Myeloid Leukemia ResearchAdvanced Biosensing Techniques and Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technologyHumansFlow CytometryDeep LearningLeukemia, Myeloid, AcuteAcute DiseaseCytogenetics

MeSH Terms

Deep LearningAcute DiseaseCytogeneticsFlow CytometryHumansLeukemia, Myeloid, Acute

Keywords

Myeloid leukemiaFlow cytometryPathologyMedicineMyeloidLeukemiaComputational biologyArtificial intelligenceComputer scienceCancer researchBiologyImmunologyLeukemia, Myeloid, AcuteCytogeneticsDeep LearningAcute DiseaseHumansArticleacute myeloid leukemiaattention-based multi-instance learning modelsautomated deep-learning based analysisautomated diagnosis