← Leaderboards
Lili He
Cincinnati Childrens Hosp Med Ctr
$5,029,865
Attributed
$5,029,865
Total exposure
3
Grants
3
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 $1.2M · FY2018–24$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$5,029,865 · 3
By mechanism
R01$4,592,615 · 2
R21$437,250 · 1
Top collaborators
No co-investigators on record.
Most similar at Cincinnati Childrens Hosp Med Ctr
Same institution · by research overlap
- Senthilkumar Sadhasivam$17,658,675
- Alexander Miethke$7,111,955
- Stephanie L Merhar$10,001,417
- Kathryn Nicole Weaver$806,940
- Kasiani Myers$3,117,523
Others in their field
Other Emerging Leaders on “Adult”
- Beth Baseler · Leidos Biomedical Research, Inc.$127,607,354
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$93,592,175
- Susan M Landau · University Of California Berkeley$47,252,026
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$42,295,422
- Nancy Roche · Leidos Biomedical Research, Inc.$39,999,252
- Evan Z Macosko · Broad Institute, Inc.$32,116,761
Research focus
AdultInstitutionMagnetic Resonance ImagingImageDiagnosisOutcome PredictionMedicalChildPerformanceMultitaskDeep Neural NetworkDetectionMultimodalityPatternData SetAccurate DiagnosisMapsClinical DataClinical RiskDeep LearningConvolutional Neural NetworkCrowdingClassification AlgorithmPublic Health
Grant awards (10)
Quantification of Liver Fibrosis with MRI and Deep Learning$572,327
R01 · FY2024 · EB · contact PI
Quantification of Liver Fibrosis with MRI and Deep Learning$605,187
R01 · FY2023 · EB · contact PI
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants$538,239
R01 · FY2023 · EB · contact PI
Quantification of Liver Fibrosis with MRI and Deep Learning$674,452
R01 · FY2022 · EB · contact PI
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants$533,946
R01 · FY2022 · EB · contact PI
Quantification of Liver Fibrosis with MRI and Deep Learning$628,266
R01 · FY2021 · EB · contact PI
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants$505,593
R01 · FY2021 · EB · contact PI
MRI and Deep Learning for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants$534,605
R01 · FY2020 · EB · contact PI
Early Prediction of Cognitive Deficits in Very Preterm Infants using Machine Learning and Brain Connectome$238,500
R21 · FY2019 · HD · contact PI
Early Prediction of Cognitive Deficits in Very Preterm Infants using Machine Learning and Brain Connectome$198,750
R21 · FY2018 · HD · contact PI