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Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning

Ophthalmology Science(2024)10.1016/j.xops.2024.100587Source: DataRank Database

Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning is a research paper published in Ophthalmology Science (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)Impact (FWCI 1.21)OA: goldTopics (24)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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Authors (19)

Anand E. Rajesh ORCID,Nayoon Gim ORCID,Marian Blazes ORCID,Cecilia S. Lee ORCID,Niranchana Macivannan

Live enrichment

PubMed:39380882 OpenAlex:https://openalex.org/W4400941067

National Institutes of Health

Grant: R01AG060942

National Institutes of Health

Grant: P30EY014801

National Institutes of Health

Grant: K23EY029246

National Institutes of Health

Grant: OT2OD032644

National Institutes of Health

Grant: 5P30EY014801-03

Miami Center for Vision Research

National Institutes of Health

Grant: 1K23EY029246-01

Epidemiology and clinical outcomes of diabetic macular edema

National Institutes of Health

Grant: 1U19AG066567-01A1

Adult Changes in Thought (ACT) Research Program

National Institutes of Health

Grant: 3OT2OD032644-01S2

Bridge2AI: Salutogenesis Data Generation Project

National Institutes of Health

Grant: 5R01AG060942-04

Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) study

FWCI

1.21

Citation Percentile

0.8%

Citation Trend

2025

goldLicense: cc-by

journalhttp://www.ophthalmologyscience.org/article/S2666914524001234/pdf

publisherhttp://www.ophthalmologyscience.org/article/S2666914524001234/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666914524001234?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666914524001234?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.xops.2024.100587

Fields of Study

Retinal Diseases and TreatmentsRetinal Imaging and AnalysisOphthalmology and Visual Impairment Studies03 medical and health sciences0302 clinical medicine

Keywords

Bayesian probabilityArtificial intelligenceAtrophyGeographic atrophyDeep learningComputer scienceMachine learningPattern recognition (psychology)GeographyMedicineInternal medicineBayesian deep learningOphthalmologyGeographic atrophy (GA)OCTModel uncertaintyOriginal ArticleRE1-994Age-Related macular degeneration (AMD)

Related Papers (2)

Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence

N/A

0.264DataRank · unranked

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co-citedsame journal

10.1016/j.xops.2024.100635

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co-cited

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