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 | 266 | 2017 |
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 | 44* | 2021 |
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 | 44* | 2018 |
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 | 41* | 2021 |
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 | 41 | 2016 |
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 | 39 | 2017 |
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 | 37 | 2021 |
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 | 33 | 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 | 33 | 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 | 26 | 2021 |
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 | 21 | 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 | 21 | 2020 |
ndmg: NeuroData’s MRI Graphs pipeline G Kiar, W Gray Roncal, D Mhembere, E Bridgeford, R Burns, ... Zenodo. http://doi.org/10.5281/zenodo.60206, 2016 | 20 | 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 | 19 | 2020 |
A serverless tool for platform agnostic computational experiment management G Kiar, ST Brown, T Glatard, AC Evans Frontiers in neuroinformatics 13, 12, 2019 | 19 | 2019 |
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 | 18* | 2022 |
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 | 15 | 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 | 14 | 2018 |
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 | 13* | 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 | 10 | 2020 |