← Leaderboards
Lawrence H Staib
Yale University
$2,721,002
Attributed
$7,149,981
Total exposure
4
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 $637.2K · FY2010–25$1M$750K$500K$250K$0
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Funding mix
By agency
NIH$7,149,981 · 4
By mechanism
R01$6,765,116 · 3
R56$384,865 · 1
Top collaborators
- James S Duncan15 shared
- Kevin A. Pelphrey10 shared
- Denis G Sukhodolsky4 shared
- Pamela Ventola4 shared
Most similar at Yale University
Same institution · by research overlap
- James S Duncan$40,355,994
- Xiaoqian Jiang$13,934,941
- Robb Brooks Rutledge$3,987,255
- Lucila Ohno-Machado$130,482,087
- Denis G Sukhodolsky$3,898,175
Others in their field
Top investigators on “Magnetic Resonance Imaging”
- Michael W Weiner · Northern California Institute Res &Educ$151,227,246
- Paul S. Aisen · Cognition Therapeutics, Inc.$114,102,468
- Reisa A. Sperling · Banner Health$112,709,449
- Randall J Bateman · Washington University$108,056,165
- Peter Gordon Gillespie · Oregon Health And Science University$104,808,120
- Joseph E Robertson · Oregon Health & Science University$93,739,249
Research focus
Magnetic Resonance ImagingRestSeveritiesCostBrainSignal TransductionUnited StatesSocialAutism Spectrum DisorderChildFunctional Magnetic Resonance ImagingPrevalenceBaseFunctional DisorderBiological MarkersReportingNovel StrategiesResearch PersonnelBiologicalCharacteristicsMotionMotion PerceptionHeterogeneityImage
Grant awards (19)
Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism$551,249
R01 · FY2025 · NS
Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism$594,123
R01 · FY2024 · NS
Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism$612,498
R01 · FY2023 · NS
Dynamic Functional Image-based Deep Learning for Therapy Assessment in Autism$637,183
R01 · FY2022 · NS
Subnetwork-based Quantitative Imaging Biomarkers for Therapy Assessment in Autism$371,982
R01 · FY2020 · NS
Subnetwork-based Quantitative Imaging Biomarkers for Therapy Assessment in Autism$371,982
R01 · FY2019 · NS
Subnetwork-based Quantitative Imaging Biomarkers for Therapy Assessment in Autism$371,982
R01 · FY2018 · NS
Subnetwork-based Quantitative Imaging Biomarkers for Therapy Assessment in Autism$371,982
R01 · FY2017 · NS
Subnetwork-based Quantitative Imaging Biomarkers for Therapy Assessment in Autism$388,857
R01 · FY2016 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$359,174
R01 · FY2015 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$356,327
R01 · FY2014 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$348,034
R01 · FY2013 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$360,294
R01 · FY2012 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$353,349
R01 · FY2011 · NS
Extraction of Functional Subnetworks in Autism Using Multimodal MRI$384,865
R56 · FY2010 · NS
BRAIN IMAGE SEGMENTATION, COMPARISON, AND MEASUREMENT$180,115
R01 · FY2003 · EB
BRAIN IMAGE SEGMENTATION, COMPARISON, AND MEASUREMENT$174,870
R01 · FY2002 · EB
BRAIN IMAGE SEGMENTATION, COMPARISON, AND MEASUREMENT$169,776
R01 · FY2001 · RR
BRAIN IMAGE SEGMENTATION, COMPARISON, AND MEASUREMENT$191,339
R01 · FY2000 · RR