← Leaderboards
Jayashree Kalpathy-Cramer
Oregon Health & Science University
$5,484,005
Attributed
$8,458,896
Total exposure
8
Grants
7
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 $1.6M · FY2009–25$2M$1.5M$1M$500K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$8,458,896 · 8
By mechanism
U24$3,433,093 · 1
U01$2,794,860 · 2
R21$1,325,413 · 3
R00$689,976 · 1
K99$215,554 · 1
Top collaborators
- Bruce R Rosen5 shared
- Daniel L Rubin5 shared
- Michael F Chiang2 shared
- Rebecca Bernstein Perkins1 shared
Most similar at Oregon Health & Science University
Same institution · by research overlap
- Marian Livingston Dale$745,023
- Laurie King$1,576,552
- Jonah B. Sacha$34,199,132
Others in their field
Top investigators on “Image”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- David Heimbrook · Leidos Biomedical Research, Inc.$332,241,999
- Leonard Freedman · Leidos Biomedical Research, Inc.$321,574,964
- Charles Mattias Mountain · Association Of Universities For Research In Astronomy, Inc.$217,904,052
- Ethan Schreier · Associated Universities, Inc.$206,468,864
Research focus
ImagePerformanceBaseResearch PersonnelAlgorithmsCommunitiesData SetTrainingCharacteristicsImage ProcessingCollectionOpen SourceMalignant NeoplasmsInstitutionResourcesLinkParticipantSiteClinical Decision-MakingReportingClinical DataOutputAnticancer ResearchCancer Type
Grant awards (21)
AI algorithm development for cervical cancer screening in low resource settings$371,161
R21 · FY2025 · CA · contact PI
Distributed Learning of Deep Learning Models for Cancer Research$394,824
U01 · FY2021 · CA
Robust AI to develop risk models in retinopathy of prematurity using deep learning$196,921
R21 · FY2021 · EY · contact PI
Distributed Learning of Deep Learning Models for Cancer Research$394,824
U01 · FY2020 · CA
Robust AI to develop risk models in retinopathy of prematurity using deep learning$274,883
R21 · FY2020 · EY · contact PI
Distributed Learning of Deep Learning Models for Cancer Research$401,628
U01 · FY2019 · CA
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery$675,558
U24 · FY2018 · CA · contact PI
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery$262,220
U24 · FY2017 · CA
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery$683,254
U24 · FY2016 · CA
Quantitative MRI of Glioblastoma Response$505,569
U01 · FY2016 · CA · contact PI
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery$1,067,437
U24 · FY2015 · CA
Quantitative MRI of Glioblastoma Response$522,787
U01 · FY2015 · CA · contact PI
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research&Discovery$744,624
U24 · FY2014 · CA
Quantitative MRI of Glioblastoma Response$575,228
U01 · FY2014 · CA · contact PI
Automated retinopathy of prematurity classification using machine learning$198,905
R21 · FY2014 · EY · contact PI
Automated retinopathy of prematurity classification using machine learning$283,543
R21 · FY2013 · EY · contact PI
Clinical Image Retrieval: User needs assessment toolbox development & evaluation$216,041
R00 · FY2013 · LM · contact PI
Clinical Image Retrieval: User needs assessment toolbox development & evaluation$234,509
R00 · FY2012 · LM · contact PI
Clinical Image Retrieval: User needs assessment toolbox development & evaluation$239,426
R00 · FY2011 · LM · contact PI
Clinical Image Retrieval: User needs assessment, toolbox development & evaluation$110,591
K99 · FY2010 · LM · contact PI
Clinical Image Retrieval: User needs assessment, toolbox development & evaluation$104,963
K99 · FY2009 · LM · contact PI