← Leaderboards
Bradley David Allen
Northwestern University At Chicago
$2,765,332
Attributed
$2,765,332
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 $1.5M · FY2024–25$2M$1.5M$1M$500K$0
'24
'25
Funding mix
By agency
NIH$2,765,332 · 2
By mechanism
R42$1,469,632 · 1
R01$1,295,700 · 1
Top collaborators
No co-investigators on record.
Most similar at Northwestern University At Chicago
Same institution · by research overlap
- Michael Markl$11,557,753
- Cynthia K Rigsby$2,609,276
- Mohammed Elbaz$1,474,144
- Liliana Ma$188,592
- Jared Narvid$626,096
Others in their field
Other Rising Stars on “High Risk”
- Richard Smith · Medical Device Innovation Consortium$41,401,350
- Julia Louise Moore Vogel · Scripps Research Institute, The$32,252,685
- Sabrina Paganoni · Massachusetts General Hospital$20,824,388
- Suma Babu · Massachusetts General Hospital$20,824,388
- Jennifer Lee O'Brien · University Of South Florida$15,110,862
- John Alam · Eip Pharma, Inc.$10,411,018
Research focus
High RiskPatient-Focused OutcomesDedicationsHemodynamicsIn VivoOutcome PredictionCohortCostEvaluationGrowthImageAccelerationMeasurementMagnetic Resonance ImagingAnalysis PipelineClinical TranslationBiological Markers4d MriDiameterDissectionAngiographyFollow-UpAortaProtocols Documentation
Grant awards (4)
Anatomic Imaging Derived 4D Hemodynamics using Deep Learning$812,881
R42 · FY2025 · HL · contact PI
Linking in vivo hemodynamics with outcomes in Type B aortic dissection using 4D flow MRI$669,147
R01 · FY2025 · HL · contact PI
Anatomic Imaging Derived 4D Hemodynamics using Deep Learning$656,751
R42 · FY2024 · HL · contact PI
Linking in vivo hemodynamics with outcomes in Type B aortic dissection using 4D flow MRI$626,553
R01 · FY2024 · HL · contact PI