← Leaderboards
Sandeep Bhat
Eyenuk, Inc.
$2,214,173
Attributed
$2,214,173
Total exposure
2
Grants
2
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 $1M · FY2018–22$1M$750K$500K$250K$0
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$2,214,173 · 2
By mechanism
R44$1,997,733 · 1
R43$216,440 · 1
Top collaborators
No co-investigators on record.
Most similar at Eyenuk, Inc.
Same institution · by research overlap
- Kaushal Solanki$7,934,649
- Malavika Bhaskaranand$442,749
- Chaithanya Ramachandra$224,999
Others in their field
Other Emerging Leaders on “Diabetic Retinopathy”
- Barbara Halina Braffett · George Washington University$14,825,594
- Ionut Bebu · George Washington University$14,825,594
- Bradley David Gelfand · University Of Virginia$5,706,440
- Ashay D Bhatwadekar · Indiana University Indianapolis$4,941,043
- Elizabeth Ann Sugar · Johns Hopkins University$4,889,715
- Ji Yi · Johns Hopkins University$4,452,955
Research focus
Diabetic RetinopathyDrug DiscoveryDiabetes MellitusAlgorithmsDiabeticDigitalDetectionBiologicalBlindnessCataractAgreementCharacteristicsDiabetic PatientDiagnosticBaseApplications GrantsColorCompetenceComputer SoftwareCoupledData SetDeep LearningDesignEarly Diagnosis
Grant awards (4)
Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images$250,000
R44 · FY2022 · EY · contact PI
Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images$747,733
R44 · FY2021 · EY · contact PI
Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images$1,000,000
R44 · FY2020 · EY · contact PI
Fully-automated lesion characterization in ultrawide-field retinal images$216,440
R43 · FY2018 · EY · contact PI