GGrantIndex
← Leaderboards

Sergey Plis

The Mind Research Network

$5,760,368
Attributed
$10,238,632
Total exposure
3
Grants
1
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 $2.1M · FY201625
$2.5M$1.9M$1.3M$625K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$10,238,632 · 3

By mechanism

R01$10,238,632 · 3

Top collaborators

Most similar at The Mind Research Network

Same institution · by research overlap

Others in their field

Top investigators on “Brain Imaging

Research focus

Brain ImagingBrainAlgorithmsData SetLinkBaseTrainingStructureFundingNovel StrategiesOpen SourceFunctional Magnetic Resonance ImagingCommunitiesResearch PersonnelRepositoryImaging ModalityModalitySuccessBiological MarkersLearningMultimodalityDiffusion Magnetic Resonance ImagingSamplingBrain Diseases

Grant awards (23)

Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$639,340
R01 · FY2025 · EB
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$613,218
R01 · FY2024 · DA
CRCNS: Multimodal Dynamic Causal Learning for Neuroimaging$325,742
R01 · FY2024 · MH · contact PI
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$618,396
R01 · FY2023 · DA
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$521,345
R01 · FY2023 · EB
Multimodal fusion for early prediction of Alzheimer’s disease: Request for supplemental funds for NIH R01: R01EB006841 “Multivariate methods for identifying multitask/multimodal brain imaging biomarke$380,690
R01 · FY2023 · EB
CRCNS: Multimodal Dynamic Causal Learning for Neuroimaging$293,167
R01 · FY2023 · MH · contact PI
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$628,653
R01 · FY2022 · DA
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$521,345
R01 · FY2022 · EB
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$378,525
R01 · FY2022 · DA
CRCNS: Multimodal Dynamic Causal Learning for Neuroimaging$309,453
R01 · FY2022 · MH · contact PI
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$617,911
R01 · FY2021 · DA
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$510,918
R01 · FY2021 · EB
Multivariate methods for identifying multi-task/multimodal brain imaging biomarkers$360,634
R01 · FY2021 · EB
CRCNS: Multimodal Dynamic Causal Learning for Neuroimaging$353,742
R01 · FY2021 · MH · contact PI
GIFTwrap: a containerized and FAIR cloud-based implementation of the widely used GIFT toolbox: Request for supplemental funds for NIH 2R01EB006841 “Multivariate methods for identifying multi-task/mult$233,367
R01 · FY2021 · EB
COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data$627,034
R01 · FY2020 · DA
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$542,808
R01 · FY2020 · EB
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$400,000
R01 · FY2019 · EB
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$400,000
R01 · FY2018 · EB
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$400,000
R01 · FY2017 · EB
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$162,344
R01 · FY2017 · EB
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers$400,000
R01 · FY2016 · EB