← Leaderboards
Linda Shapiro
University Of Washington
$5,572,723
Attributed
$7,301,915
Total exposure
4
Grants
3
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 $1.1M · FY2009–20$2M$1.5M$1M$500K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
Funding mix
By agency
NIH$7,301,915 · 4
By mechanism
U01$4,823,902 · 2
R01$2,478,013 · 2
Top collaborators
- Joann G Elmore9 shared
- Donald Lee Weaver1 shared
Most similar at University Of Washington
Same institution · by research overlap
- Joann G Elmore$17,641,997
- Donald Lee Weaver$8,806,953
- James F Brinkley$9,750,608
- John H. Gennari$4,087,203
- Kathleen F. Kerr$2,075,791
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
ImageLeadTechnologyBaseDatabasesResearch PersonnelMachine LearningImage AnalysisPhysiciansPathologistDiagnostic ErrorsDigital ImagingInnovationInterestDesignPathologyFundingGlassDiagnostic AccuracyBenignDiagnosisDiagnosticMalignant NeoplasmsMethodology
Grant awards (16)
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$385,010
R01 · FY2020 · CA
A Unified Machine Learning Package for Cancer Diagnosis$323,139
U01 · FY2020 · CA · contact PI
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$373,460
R01 · FY2019 · CA
A Unified Machine Learning Package for Cancer Diagnosis$317,390
U01 · FY2019 · CA · contact PI
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$385,011
R01 · FY2018 · CA
A Unified Machine Learning Package for Cancer Diagnosis$339,842
U01 · FY2018 · CA · contact PI
Digital Pathology_Accuracy Viewing Behavior and Image Characterization$611,703
R01 · FY2017 · CA · contact PI
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$283,866
R01 · FY2017 · CA
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$30,900
R01 · FY2017 · CA
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study$408,063
R01 · FY2016 · CA
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$987,184
U01 · FY2013 · DE · contact PI
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$1,036,930
U01 · FY2012 · DE · contact PI
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$714,222
U01 · FY2011 · DE · contact PI
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$361,466
U01 · FY2011 · DE · contact PI
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$374,128
U01 · FY2010 · DE · contact PI
Technology Project: Shape-Based Retrieval of 3D Craniofacial Data$369,601
U01 · FY2009 · DE · contact PI