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Christoph I Lee
University Of Washington
$10,494,505
Attributed
$10,494,505
Total exposure
5
Grants
5
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 $2.4M · FY2020–25$2.5M$1.9M$1.3M$625K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$10,494,505 · 5
By mechanism
R01$5,665,504 · 2
R37$3,191,212 · 1
P01$1,637,789 · 2
Top collaborators
No co-investigators on record.
Most similar at University Of Washington
Same institution · by research overlap
- Thomas D Rea$6,850,139
- Jason Coult$326,511
- Keshet Ronen$4,628,139
- Eric R. Pedersen$8,741,267
- Cecilia Sungmin Lee$34,684,097
Others in their field
Other Emerging Leaders on “Malignant Breast Neoplasm”
- Greg Yothers · University Of Chicago$35,003,821
- Olwen Hahn · Brigham And Women'S Hospital$32,076,706
- Leonard Freedman · Leidos Biomedical Research, Inc.$21,750,066
- Rachana Agarwal · Leidos Biomedical Research, Inc.$15,241,462
- Leonard Freedmand · Leidos Biomedical Research, Inc.$12,635,631
- Jessica Scott · Sloan-Kettering Inst Can Research$10,553,540
Research focus
Malignant Breast NeoplasmBreast ImagingWomanMortalityMammographyBreast Cancer DetectionMalignant NeoplasmsMedicineRegistriesScreeningDiagnosticImaging TechnologyInnovationLinkArtificial IntelligenceDigital Breast TomosynthesisPerformanceImageMammographic ScreeningRadiologistBiometryCharacteristicsDigital MammographyTumor
Grant awards (21)
Population-Based Evaluation of Artificial Intelligence for Mammography Priorto Widespread Clinical Translation$730,585
R01 · FY2025 · CA · contact PI
Improving Outcomes in the Breast Cancer Screening and Diagnostic Continuum$675,237
R01 · FY2025 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$566,805
R37 · FY2025 · CA · contact PI
Project 2$426,856
P01 · FY2025 · CA · contact PI
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation$583,490
R01 · FY2024 · CA · contact PI
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes$550,682
R01 · FY2024 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$498,049
R37 · FY2024 · CA · contact PI
Project 2$292,269
P01 · FY2024 · CA · contact PI
Project 2$209,440
P01 · FY2024 · CA · contact PI
Project 2$117,898
P01 · FY2024 · CA · contact PI
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation$612,889
R01 · FY2023 · CA · contact PI
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes$582,008
R01 · FY2023 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$517,688
R37 · FY2023 · CA · contact PI
Project 2$312,352
P01 · FY2023 · CA · contact PI
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation$679,234
R01 · FY2022 · CA · contact PI
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes$590,818
R01 · FY2022 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$532,574
R37 · FY2022 · CA · contact PI
Project 2$278,974
P01 · FY2022 · CA · contact PI
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes$660,561
R01 · FY2021 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$528,811
R37 · FY2021 · CA · contact PI
Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation$547,285
R37 · FY2020 · CA · contact PI