Gregory Kiar
Gregory Kiar
Child Mind Institute
Verified email at - Homepage
Cited by
Cited by
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ...
PLoS computational biology 13 (3), e1005209, 2017
To the cloud! A grassroots proposal to accelerate brain science discovery
JT Vogelstein, B Mensh, M Häusser, N Spruston, AC Evans, K Kording, ...
Neuron 92 (3), 622-627, 2016
Boutiques: a flexible framework to integrate command-line applications in computing platforms
T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ...
GigaScience 7 (5), giy016, 2018
Science in the cloud (SIC): A use case in MRI connectomics
G Kiar, KJ Gorgolewski, D Kleissas, WG Roncal, B Litt, B Wandell, ...
Giga Science 6 (5), gix013, 2017
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis
R Lawrence, A Loftus, G Kiar, EW Bridgeford, WG Roncal, ...
bioRxiv, 2021.11. 01.466686, 2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
PLoS computational biology 17 (9), e1009279, 2021
PyBIDS: Python tools for BIDS datasets
T Yarkoni, CJ Markiewicz, A de la Vega, KJ Gorgolewski, T Salo, ...
Journal of open source software 4 (40), 2019
Evaluating the reliability of human brain white matter tractometry
J Kruper, JD Yeatman, A Richie-Halford, D Bloom, M Grotheer, S Caffarra, ...
Aperture neuro 1 (1), 2021
ndmg: NeuroData’s MRI Graphs pipeline
G Kiar, W Gray Roncal, D Mhembere, E Bridgeford, R Burns, ...
Zenodo., 2016
Comparing perturbation models for evaluating stability of neuroimaging pipelines
G Kiar, P de Oliveira Castro, P Rioux, E Petit, ST Brown, AC Evans, ...
The International Journal of High Performance Computing Applications 34 (5 …, 2020
Moving beyond processing and analysis-related variation in neuroscience
X Li, L Ai, S Giavasis, H Jin, E Feczko, T Xu, J Clucas, A Franco, ...
BioRxiv, 2021.12. 01.470790, 2021
A serverless tool for platform agnostic computational experiment management
G Kiar, ST Brown, T Glatard, AC Evans
Frontiers in neuroinformatics 13, 12, 2019
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
Neural correlates of polygenic risk score for autism spectrum disorders in general population
B Khundrakpam, U Vainik, J Gong, N Al-Sharif, N Bhutani, G Kiar, ...
Brain Communications 2 (2), fcaa092, 2020
Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ...
GigaScience 10 (8), giab051, 2021
A quantitative EEG toolbox for the MNI Neuroinformatics ecosystem: Normative SPM of EEG source spectra
J Bosch-Bayard, E Aubert-Vazquez, ST Brown, C Rogers, G Kiar, ...
Frontiers in Neuroinformatics 14, 33, 2020
Container-based clinical solutions for portable and reproducible image analysis
J Matelsky, G Kiar, E Johnson, C Rivera, M Toma, W Gray-Roncal
Journal of digital imaging 31, 315-320, 2018
Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging
M Milham, C Petkov, P Belin, SB Hamed, H Evrard, D Fair, A Fox, ...
Neuron 110 (1), 16-20, 2022
Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks
G Kiar, Y Chatelain, E Petit, A Rokem, G Varoquaux, B Misic, AC Evans, ...
PLOS ONE 16 (11), e0250755, 2021
File-based localization of numerical perturbations in data analysis pipelines
A Salari, G Kiar, L Lewis, AC Evans, T Glatard
GigaScience 9 (12), giaa106, 2020
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