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John William Garrett
University Of Wisconsin-Madison
$637,632
Attributed
$1,275,263
Total exposure
1
Grants
0
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 $319.1K · FY2020–23$500K$375K$250K$125K$0
'20
'21
'22
'23
Funding mix
By agency
NIH$1,275,263 · 1
By mechanism
R01$1,275,263 · 1
Top collaborators
- Alan Blair Mcmillan4 shared
Most similar at University Of Wisconsin-Madison
Same institution · by research overlap
- Xin Huang$4,106,913
- Lingjun Li$21,786,496
- Briana M. Burton$1,934,215
- Janet L Branchaw$925,020
- Michael R. Koenigs$7,147,024
Others in their field
Other Emerging Leaders on “Failure”
- Beth Baseler · Leidos Biomedical Research, Inc.$87,027,148
- Susan M Landau · University Of California Berkeley$47,252,026
- Chris Karlovich · Leidos Biomedical Research, Inc.$38,534,220
- Barbara Halina Braffett · George Washington University$17,931,151
- Lynn Briscoe · Leidos Biomedical Research, Inc.$15,054,787
- Ionut Bebu · George Washington University$14,731,026
Research focus
FailureAttentionExposure ToBrainCardiacClassificationClassification AlgorithmAdoptedClinically RelevantClinical ResearchCritiquesDangerous BehaviorData SetDeep LearningDeep Learning AlgorithmDesignClinical ImplementationAlgorithmsDisease DiagnosisDoseEffectivenessEnsureExhibitsHuman Error
Grant awards (4)
Can machines be trusted? Robustification of deep learning for medical imaging$319,116
R01 · FY2023 · LM
Can machines be trusted? Robustification of deep learning for medical imaging$319,116
R01 · FY2022 · LM
Can machines be trusted? Robustification of deep learning for medical imaging$318,876
R01 · FY2021 · LM
Can machines be trusted? Robustification of deep learning for medical imaging$318,155
R01 · FY2020 · LM