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Atalie C Thompson
Duke University
$967,589
Attributed
$967,589
Total exposure
1
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).
Funding over time
peak $195.1K · FY2020–24$200K$150K$100K$50K$0
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$967,589 · 1
By mechanism
K23$967,589 · 1
Top collaborators
No co-investigators on record.
Most similar at Duke University
Same institution · by research overlap
- Anthony Nanlin Kuo$8,940,132
- Cynthia Ann Toth$11,128,039
- Gordon Kenneth Klintworth$11,441,134
- Rajendra A Morey$5,068,490
- Michael A Hauser$15,968,846
Others in their field
Other Emerging Leaders on “Dependence”
- Susan Abushakra · Alzheon, Inc.$47,265,244
- John Hobbs · Suny At Stony Brook$41,239,084
- Christopher Bee · Suny At Stony Brook$41,239,084
- Barbara Halina Braffett · George Washington University$22,016,904
- Jeffrey Reich · Sparian Biosciences, Inc.$21,671,295
- Ionut Bebu · George Washington University$18,816,779
Research focus
DependenceDiabetic RetinopathyAdvisory CommitteesAlgorithm TrainingAgreementDetectionAssisted Living FacilitiesAlgorithmsBiomedical EngineeringBiometryBlindnessCareerCarinaAdultClinical ResearchCohortConsumptionCostCost EffectiveDeep LearningDeep Learning AlgorithmDeep Neural NetworkDemographicsDiagnosis
Grant awards (6)
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$189,104
K23 · FY2024 · EY · contact PI
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$194,790
K23 · FY2023 · EY · contact PI
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$194,790
K23 · FY2022 · EY · contact PI
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$171,651
K23 · FY2021 · EY · contact PI
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$22,123
K23 · FY2021 · EY · contact PI
Deep learning to quantify glaucomatous damage on fundus photographs for teleophthalmology$195,131
K23 · FY2020 · EY · contact PI