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Miaomiao Zhang
University Of Virginia
$601,528
Attributed
$601,528
Total exposure
1
Grants
1
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 $223.7K · FY2023–25$250K$187.5K$125K$62.5K$0
'23
'24
'25
Funding mix
By agency
NIH$601,528 · 1
By mechanism
R21$601,528 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Virginia
Same institution · by research overlap
- Kenneth C Bilchick$3,086,054
- Craig Andrew Rumpel$935,947
- Jonathan R Lindner$23,863,903
- Antonio Abbate$5,930,239
- Philip Chow$6,332,505
Others in their field
Other Rising Stars on “Agreement”
- Lauren Miller · Technical Resources International, Inc.$31,120,905
- Cynthia M Visness · Rho Federal Systems Division, Inc.$14,006,776
- Thomas K Karikari · Wake Forest University Health Sciences$13,438,430
- Amanda Burnaugh · Battelle Centers/Pub Hlth Res & Evaluatn$10,086,715
- Suma Babu · Massachusetts General Hospital$9,819,674
- Sabrina Paganoni · Massachusetts General Hospital$9,819,674
Research focus
AgreementArrhythmiaArtificial IntelligenceArtificial Intelligence MethodBrain Natriuretic PeptideCardiacCardiac ImplantCardiac Magnetic Resonance ImagingCardiac Resynchronization TherapyCharacteristicsCicatrixComorbidityComputersComputer SoftwareConsumptionData SetDeep LearningDeep Neural NetworkDefibrillatorsDemographicsDesignDetectionDevicesAdoption
Grant awards (3)
Deep Learning To Automate Late Mechanical Activation Detection From Cardiac Magnetic Resonance Images$188,736
R21 · FY2025 · EB · contact PI
Deep Learning To Automate Late Mechanical Activation Detection From Cardiac Magnetic Resonance Images$189,119
R21 · FY2024 · EB · contact PI
Deep Learning To Automate Late Mechanical Activation Detection From Cardiac Magnetic Resonance Images$223,673
R21 · FY2023 · EB · contact PI