← Leaderboards
Rizwan Ahmad
Ohio State University
$8,636,180
Attributed
$10,207,970
Total exposure
7
Grants
6
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 $1.9M · FY2016–25$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$10,207,970 · 7
By mechanism
R01$8,565,292 · 3
R21$1,642,678 · 4
Top collaborators
- Philip Schniter4 shared
- Orlando Paul Simonetti4 shared
Most similar at Ohio State University
Same institution · by research overlap
- Soledad A Fernandez$6,328,596
- David G Jarjoura$3,458,851
- Michael D Twa$2,361,841
- Matthew D Ringel$21,305,885
- Jeremy L Neal$674,594
Others in their field
Top investigators on “Magnetic Resonance Imaging”
- Michael W Weiner · Northern California Institute Res &Educ$151,227,246
- Paul S. Aisen · Cognition Therapeutics, Inc.$114,102,468
- Reisa A. Sperling · Banner Health$112,709,449
- Randall J Bateman · Washington University$108,056,165
- Peter Gordon Gillespie · Oregon Health And Science University$104,808,120
- Joseph E Robertson · Oregon Health & Science University$93,739,249
Research focus
Magnetic Resonance ImagingImageDiagnosisScanningHeartCardiovascular SystemData AcquisitionMotionBaseHeart ImagingEvaluationCardiacReconstructionValidationComputerized Data ProcessingLeadPhysiologic PulseImaging TechniquesHealthy VolunteerAccelerationProtocols DocumentationImaging ModalityRecoveryHeart Diseases
Grant awards (22)
A comprehensive valvular heart disease assessment with stress cardiac MRI$678,699
R01 · FY2025 · HL · contact PI
A comprehensive valvular heart disease assessment with stress cardiac MRI$683,214
R01 · FY2024 · HL · contact PI
A comprehensive deep learning framework for MRI reconstruction$557,783
R01 · FY2024 · EB · contact PI
A comprehensive valvular heart disease assessment with stress cardiac MRI$669,958
R01 · FY2023 · HL · contact PI
A comprehensive deep learning framework for MRI reconstruction$569,167
R01 · FY2023 · EB · contact PI
A comprehensive valvular heart disease assessment with stress cardiac MRI$639,968
R01 · FY2022 · HL · contact PI
A comprehensive deep learning framework for MRI reconstruction$570,361
R01 · FY2022 · EB · contact PI
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance Imaging$663,361
R01 · FY2021 · HL · contact PI
A comprehensive valvular heart disease assessment with stress cardiac MRI$628,521
R01 · FY2021 · HL · contact PI
A comprehensive deep learning framework for MRI reconstruction$613,825
R01 · FY2021 · EB · contact PI
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance Imaging$661,953
R01 · FY2020 · HL · contact PI
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance Imaging$547,682
R01 · FY2019 · HL · contact PI
Prospective Slice Tracking for Cardiac MRI$223,680
R21 · FY2019 · EB · contact PI
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance Imaging$545,372
R01 · FY2018 · HL · contact PI
Prospective Slice Tracking for Cardiac MRI$185,264
R21 · FY2018 · EB · contact PI
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance Imaging$535,428
R01 · FY2017 · HL · contact PI
Background phase correction for quantitative cardiovascular MRI$221,541
R21 · FY2017 · EB · contact PI
A Bayesian Model for MRI-based Accelerated 4D Flow Imaging of Aortic Valve Stenosis$221,541
R21 · FY2017 · EB · contact PI
MRI T2 mapping for quantitative assessment of venous oxygen saturation$192,500
R21 · FY2017 · EB
MRI T2 mapping for quantitative assessment of venous oxygen saturation$231,000
R21 · FY2016 · EB
Background phase correction for quantitative cardiovascular MRI$183,576
R21 · FY2016 · EB · contact PI
A Bayesian Model for MRI-based Accelerated 4D Flow Imaging of Aortic Valve Stenosis$183,576
R21 · FY2016 · EB · contact PI