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Nicha C Dvornek
Yale University
$610,660
Attributed
$610,660
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 $226.1K · FY2023–25$250K$187.5K$125K$62.5K$0
'23
'24
'25
Funding mix
By agency
NIH$610,660 · 1
By mechanism
R21$610,660 · 1
Top collaborators
No co-investigators on record.
Most similar at Yale University
Same institution · by research overlap
- Damon Alistair Clark$6,849,406
- Cynthia Ann Brandt$12,415,934
- Ilana Richman$1,283,166
- Elizabeth B. Claus$21,096,464
- Lauren Ancel Meyers$8,885,028
Others in their field
Other Rising Stars on “Detection Platform”
- Alaina J Harkness · Current Innovation, Nfp$13,724,091
- Rangarajan Sampath · Siemens Healthcare Diagnostics Inc.$5,422,657
- Scott Schaus · Sorrento Therapeutics, Inc.$4,590,862
- Elie Saade · University Hospitals Of Cleveland$4,295,069
- Farshad Tehrani · Actiox Llc$4,213,938
- Ralf Lenigk · Ge Medical Systems Information Technologies, Inc$4,211,973
Research focus
Detection PlatformElementsDeep LearningDependenceAnxietyDigital Breast TomosynthesisAppearance3-DimensionalArchitectureDemographicsAttentionBreast Cancer Risk FactorBiological MarkersCancer DetectionCancer RiskCancer TherapyAdoptedComplexComputer Aided DetectionBreastBreast Cancer DetectionDeep Learning ModelDecision MakingEligibility Determination
Grant awards (3)
Interpretable Deep Learning Models for Analysis of Longitudinal 3D Mammography Screenings$192,295
R21 · FY2025 · EB · contact PI
Interpretable Deep Learning Models for Analysis of Longitudinal 3D Mammography Screenings$192,295
R21 · FY2024 · EB · contact PI
Interpretable Deep Learning Models for Analysis of Longitudinal 3D Mammography Screenings$226,070
R21 · FY2023 · EB · contact PI