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Jing Li
Mayo Clinic Arizona
$1,554,539
Attributed
$3,209,074
Total exposure
3
Grants
0
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 $1.3M · FY2016–22$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$3,209,074 · 3
By mechanism
R42$2,472,713 · 1
R21$436,374 · 1
R41$299,987 · 1
Top collaborators
- Fleming Y. M. Lure3 shared
- Todd Schwedt2 shared
- Frank Carsten Martin Setzer1 shared
Others in their field
Top investigators on “Training”
- Jeffrey P Krischer · University Of South Florida$314,856,919
- Christopher McKay · Battelle Memorial Institute$290,340,771
- Judith S. Currier · University Of California Los Angeles$276,624,848
- Daniel R Kuritzkes · Brigham And Women'S Hospital$258,658,543
- Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$239,830,683
- Steven E Reis · University Of Pittsburgh At Pittsburgh$232,330,444
Research focus
TrainingData SetBaseImageDiagnosticClinical TrialsMeasurementAlzheimer&AposPrognosticClinical Decision Support SystemsPreventMedicalAffectAnatomyPublicationsIndividual PatientMachine LearningDeep LearningDeep Learning Algorithm3-DimensionalAlgorithmsImaging ModalityClinics And HospitalsDiagnosis
Grant awards (5)
AIDen: An AI-empowered detection and diagnosis system for jaw lesions using CBCT$299,987
R41 · FY2022 · DE
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD$1,219,743
R42 · FY2021 · AG
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD$1,252,970
R42 · FY2020 · AG
Toward new classification criteria for mild and moderate TBI by a data-inclusive cross-study analysis using FITBIR$188,625
R21 · FY2017 · HD
Toward new classification criteria for mild and moderate TBI by a data-inclusive cross-study analysis using FITBIR$247,749
R21 · FY2016 · HD