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Davood Karimi
Boston Children'S Hospital
$2,452,070
Attributed
$2,452,070
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 $823K · FY2023–25$1M$750K$500K$250K$0
'23
'24
'25
Funding mix
By agency
NIH$2,452,070 · 2
By mechanism
R01$2,452,070 · 2
Top collaborators
No co-investigators on record.
Most similar at Boston Children'S Hospital
Same institution · by research overlap
- Sila Kurugol$3,163,140
- Timothy A Miller$5,553,429
- Ali Gholipour-Baboli$9,206,245
- Robert Colin Carter$4,910,213
- Hisashi Umemori$23,015,074
Others in their field
Other Rising Stars on “Noise”
- Maximilian Haeussler · University Of California Santa Cruz$12,592,563
- Marina E. Garrett · Allen Institute$5,151,061
- Farshad Tehrani · Actiox Llc$3,864,204
- Fang Liu · Massachusetts General Hospital$3,858,532
- Douglas H Kelley · University Of Rochester$2,721,729
- Fuyixue Wang · Massachusetts General Hospital$2,587,822
Research focus
NoiseStructureMachine LearningNeural Network ArchitectureScanningSpatiotemporalDiffusionLearningMapsNeonatalReproducibilityBrainBrain AbnormalitiesSignal TransductionCalibrationDeep LearningDiffusion Magnetic Resonance ImagingImageBiological MarkersMachine Learning MethodBiophysical ModelMeasurementAnatomyUncertainty
Grant awards (6)
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning$442,500
R01 · FY2025 · NS · contact PI
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure$380,550
R01 · FY2025 · HD · contact PI
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning$429,225
R01 · FY2024 · NS · contact PI
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure$376,745
R01 · FY2024 · HD · contact PI
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning$442,500
R01 · FY2023 · NS · contact PI
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure$380,550
R01 · FY2023 · HD · contact PI