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National Eye Institute

United States

8 papers here658 citations across 8
fields
  • eess.IV3
  • cs.CV2
  • cs.CL1
  • q-bio.GN1
  • q-bio.QM1
ROR 03wkg3b53OpenAlex

affiliations via OpenAlex

output
20092024
most citedDeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

368 citations

researchers with a paper here
  • Zhiyong Lu4 profiles6 · h 78
  • Qingyu Chen2 profiles4 · h 32
  • T. Keenan4 · h 39
  • Yifan Peng3 profiles4 · h 33
  • E. Agrón3 · h 48
  • E. Chew3 · h 101
  • Alexis Allot2 · h 21
  • Emily Y. Chew2 · h 11
  • Michael F. Chiang2 · h 3
  • W. Wong2 · h 57
  • Aaron Y. Lee1 · h 47
  • A. Biancotto1 · h 42
collaborating institutions
  • National Institutes of HealthUS7 papers
  • National Center for Biotechnology InformationUS3 papers
  • United States National Library of MedicineUS3 papers
  • Duke-NUS Medical SchoolSG2 papers
  • National University of SingaporeSG2 papers
  • University of PittsburghUS2 papers
  • Yale UniversityUS2 papers
  • Abterra Biosciences (United States)US1 paper
  • AGRF LtdAU1 paper
  • Alexander T. Augusta Military Medical CenterUS1 paper
  • Amsterdam University Medical CentersNL1 paper
  • Argonne National LaboratoryUS1 paper
Showing 2018Show all

1 paper · 1 filter

cs.CV2018★ 368 cited

DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

Yifan Peng, Shazia Dharssi, Qingyu Chen +5

In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AM…

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