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Mirabela Rusu
Stanford University
$2,887,122
Attributed
$4,056,107
Total exposure
2
Grants
2
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 $2.4M · FY2022–25$2.5M$1.9M$1.3M$625K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$4,056,107 · 2
By mechanism
R37$2,302,630 · 1
OT2$1,753,477 · 1
Top collaborators
- Nicole A Martinez-Martin1 shared
- Geoffrey Sonn1 shared
Most similar at Stanford University
Same institution · by research overlap
- Sri Rajasekhar Kothapalli$2,921,145
- William Hiesinger$2,534,991
- Jonathan T.c. Liu$9,943,423
- Lu Tian$8,523,132
- Andrew J. Gentles$5,142,395
Others in their field
Other Rising Stars on “Magnetic Resonance Imaging”
- Sabrina Paganoni · Massachusetts General Hospital$9,819,674
- Suma Babu · Massachusetts General Hospital$9,819,674
- Jinsy Andrews · Columbia University Health Sciences$9,819,674
- April Carson · University Of Mississippi Med Ctr$9,022,104
- Frank A Provenzano · St. Joseph'S Hospital And Medical Center$8,533,907
- Robert C Alexander · Banner Health$8,197,111
Research focus
Magnetic Resonance ImagingProstateRadiological ImagingMalignant NeoplasmsBiopsyLesionMalignant Neoplasm Of ProstateProstate BiopsyScreening For Prostate CancerAgreementBiological MarkersBenignAppearanceBiopsy SpecimenInfectionHemorrhageAtlas Of Cancer Mortality In The United StatesDetection MethodIndexingCessation Of Life3-DimensionalEarly DiagnosisData SetCancer Detection
Grant awards (5)
Ethical Multimodal fusion Artificial Intelligence platform (EMAP) to bridge the gap between imaging modalities: Application to prostate cancer diagnosis.$1,753,477
OT2 · FY2025 · OD · contact PI
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI$599,578
R37 · FY2025 · CA · contact PI
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI$593,503
R37 · FY2024 · CA · contact PI
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI$536,074
R37 · FY2023 · CA · contact PI
Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI$573,475
R37 · FY2022 · CA · contact PI