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William Hiesinger
Stanford University
$2,534,991
Attributed
$2,534,991
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 $823.7K · FY2022–25$1M$750K$500K$250K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$2,534,991 · 1
By mechanism
R01$2,534,991 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Vinicio A De Jesus Perez$12,110,754
- Gregory George Zaharchuk$14,220,326
- Joseph C Wu$80,370,369
- Jennifer L Raymond$18,880,693
- Roham Zamanian$6,654,663
Others in their field
Other Rising Stars on “Decentralization”
- Katherine M Thibault · Battelle Memorial Institute$134,148,552
- Michael Hogarth · University Of California, San Diego$5,162,770
- Ruth Schneider · University Of Rochester$3,209,104
- Sean A McKenna · Board Of Regents, Nshe, Obo University Of Nevada, Reno$3,000,000
- Brian Sherman · Arizona State University$3,000,000
- Alvar Escriva-Bou · University Of California-Los Angeles$2,160,000
Research focus
DecentralizationDensityAcuteArtificial IntelligenceData SetDecision Support SystemsArtificial Intelligence PlatformApicalBenchmarkingCardiacCost EffectiveCardiovascular DiseasesCardiovascular Surgical ProceduresAccountingClinical DiagnosisClinical PracticeCloud ComputingCohortColorCommunity SettingComplexComputerized ToolsAffectDesign
Grant awards (5)
Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.$581,637
R01 · FY2025 · HL · contact PI
Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.$242,042
R01 · FY2025 · HL · contact PI
Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.$577,287
R01 · FY2024 · HL · contact PI
Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.$546,074
R01 · FY2023 · HL · contact PI
Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.$587,951
R01 · FY2022 · HL · contact PI