← Leaderboards
Siamak Yousefi
University Of Tennessee Health Sci Ctr
$2,924,160
Attributed
$3,173,774
Total exposure
4
Grants
4
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.
Funding over time
peak $673.8K · FY2019–25$1M$750K$500K$250K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,173,774 · 4
By mechanism
R01$1,898,340 · 1
R21$1,275,434 · 3
Top collaborators
- Tobias Elze2 shared
Most similar at University Of Tennessee Health Sci Ctr
Same institution · by research overlap
- Tobias Elze$3,953,042
- Lawrence T Reiter$3,487,299
Others in their field
Other Emerging Leaders on “Artificial Intelligence”
- John E West · University Of Texas At Austin$95,166,667
- Klaus Romero · Critical Path Institute$29,190,596
- Jennifer K Balch · University Of Massachusetts Amherst$14,831,210
- Rene S. Kahn · Icahn School Of Medicine At Mount Sinai$13,240,338
- Alan James Bridge · European Molecular Biology Laboratory$8,871,376
- John Damon Chodera · Sloan-Kettering Inst Can Research$8,477,219
Research focus
Artificial IntelligencePatternVisual FieldsClinical TrialsField StudyGlaucomaMachine LearningRetinal Nerve Fiber LayerAxonImageDiagnosisAffectComplexOptic DiskMapsIncidenceSpecific Qualifier ValueCaringData SetRetinal Ganglion Cell DegenerationDetectionBlindnessOptical Coherence TomographyCommunities
Grant awards (10)
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence$440,335
R01 · FY2025 · EY · contact PI
A generalizable deep learning platform for unifying quantification of experimental autoimmune uveitis$231,000
R21 · FY2025 · EY · contact PI
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence$440,335
R01 · FY2024 · EY · contact PI
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence$443,851
R01 · FY2023 · EY · contact PI
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence$573,819
R01 · FY2022 · EY · contact PI
Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled Dashboard$100,000
R21 · FY2022 · EY · contact PI
Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled Dashboard$191,826
R21 · FY2021 · EY · contact PI
Improved Glaucoma Monitoring Using Artificial-Intelligence Enabled Dashboard$253,379
R21 · FY2020 · EY · contact PI
A hybrid artificial intelligence framework for glaucoma monitoring$220,808
R21 · FY2020 · EY · contact PI
A hybrid artificial intelligence framework for glaucoma monitoring$278,421
R21 · FY2019 · EY · contact PI