← Leaderboards
Tolga Tasdizen
University Of Utah
$3,045,520
Attributed
$4,546,871
Total exposure
6
Grants
4
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 $499.1K · FY2005–25$500K$375K$250K$125K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,546,871 · 6
By mechanism
R01$2,914,101 · 2
RC1$995,906 · 1
R21$626,864 · 2
R13$10,000 · 1
Top collaborators
- Mark H Ellisman4 shared
- Julie R Korenberg2 shared
- Benjamin Adam Steinberg2 shared
- Shireen Youssef Elhabian1 shared
Most similar at University Of Utah
Same institution · by research overlap
- Grant J Jensen$18,127,842
- Vibhas Deshpande$1,810,046
- Dennis L Parker$23,150,321
- Sihem Boudina$6,642,517
- Steven Poelzing$9,569,255
Others in their field
Top investigators on “Data Set”
- Lawrence Corey · Fred Hutchinson Cancer Center$424,653,591
- David R. Weir · University Of Michigan At Ann Arbor$412,781,191
- David Heimbrook · Leidos Biomedical Research, Inc.$409,886,450
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$348,905,121
- Gary D Acton · University Of California-Davis$320,373,312
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
Research focus
Data SetImageAlgorithmsInsightMachine LearningComputer SoftwareAutomobile DrivingLabelValidationTrainingRelating To Nervous SystemNeuronsInnovationAreaResolutionCellsManualsComplexResearch PersonnelStructureInstitutesClassificationDevicesGenerations
Grant awards (15)
Overcoming explainability and data availability barriers to broad application of ECG ML screening with a system-wide ECG dataset$115,500
R21 · FY2025 · HL · contact PI
Medical Imaging with Deep Learning (MIDL) Conference 2025$10,000
R13 · FY2025 · EB · contact PI
Overcoming explainability and data availability barriers to broad application of ECG ML screening with a system-wide ECG dataset$115,500
R21 · FY2024 · HL · contact PI
A scalable non-intrusive image annotation method using eye tracking for training deep learning models in radiology$152,500
R21 · FY2021 · EB · contact PI
A scalable non-intrusive image annotation method using eye tracking for training deep learning models in radiology$243,364
R21 · FY2020 · EB · contact PI
SLASH: SCALABLE LARGE ANALYTIC SEGMENTATION HYBRID$436,094
R01 · FY2014 · NS
SLASH: SCALABLE LARGE ANALYTIC SEGMENTATION HYBRID$425,454
R01 · FY2013 · NS
SLASH: SCALABLE LARGE ANALYTIC SEGMENTATION HYBRID$445,075
R01 · FY2012 · NS
SLASH: SCALABLE LARGE ANALYTIC SEGMENTATION HYBRID$459,174
R01 · FY2011 · NS
A Computational Framework for Mapping Long Range Genetic Circuits$499,146
RC1 · FY2010 · NS
A Computational Framework for Mapping Long Range Genetic Circuits$496,760
RC1 · FY2009 · NS
CRCNS: Large-scale computational reconstruction of three-dimensional neural$291,423
R01 · FY2008 · EB · contact PI
CRCNS: Large-scale computational reconstruction of three-dimensional neural$289,244
R01 · FY2007 · EB · contact PI
CRCNS: Large-scale computational reconstruction of three-dimensional neural$294,697
R01 · FY2006 · EB · contact PI
CRCNS: Large-scale computational reconstruction of three-dimensional neural$272,940
R01 · FY2005 · EB