fMRIPrep: a robust preprocessing pipeline for functional MRI O Esteban, C Markiewicz, RW Blair, C Moodie, AI Isik, AE Aliaga, J Kent, ... Nature Methods 16, 111-116, 2019 | 2420* | 2019 |
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, C Hamalainen, ... Zenodo doi:10.5281/zenodo.596855, 2019 | 1956* | 2019 |
The challenge of mapping the human connectome based on diffusion tractography KH Maier-Hein, PF Neher, JC Houde, MA Côté, E Garyfallidis, J Zhong, ... Nature Communications 8 (1), 1349, 2017 | 1227* | 2017 |
MRIQC: Advancing the Automatic Prediction of Image Quality in MRI from Unseen Sites. O Esteban, D Birman, M Schaer, OO Koyejo, RA Poldrack, ... PLOS ONE 12 (9), e0184661, 2017 | 744 | 2017 |
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 | 287 | 2017 |
The OpenNeuro resource for sharing of neuroscience data CJ Markiewicz, KJ Gorgolewski, F Feingold, R Blair, YO Halchenko, ... eLife 10, e71774, 2021 | 218* | 2021 |
nipy/nibabel: 5.1. 0 (5.1. 0) M Brett, CJ Markiewicz, M Hanke, MA Côté, B Cipollini, P McCarthy, ... Zenodo, 2023 | 166* | 2023 |
Analysis of task-based functional MRI data preprocessed with fMRIPrep O Esteban, R Ciric, K Finc, RW Blair, CJ Markiewicz, CA Moodie, JD Kent, ... Nature Protocols, 1-17, 2020 | 124 | 2020 |
OpenNeuro - a free online platform for sharing and analysis of neuroimaging data K Gorgolewski, O Esteban, G Schaefer, B Wandell, R Poldrack 23th Annual Meeting of the Organization for Human Brain Mapping, 1677, 2017 | 95 | 2017 |
Open and reproducible neuroimaging: from study inception to publication G Niso, R Botvinik-Nezer, S Appelhoff, A De La Vega, O Esteban, JA Etzel, ... NeuroImage 263, 119623, 2022 | 60 | 2022 |
Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines O Esteban, RW Blair, DM Nielson, JC Varada, S Marrett, AG Thomas, ... Scientific Data 6 (1), 30, 2019 | 56 | 2019 |
fMRIPrep: A robust preprocessing pipeline for functional MRI O Esteban, R Blair, CJ Markiewicz, SL Berleant, C Moodie, F Ma, AI Isik, ... Zenodo Open Source Software, 2023 | 55* | 2023 |
TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models R Ciric, WH Thompson, R Lorenz, M Goncalves, EE MacNicol, ... Nature Methods, 1-4, 2022 | 47* | 2022 |
A consensus protocol for functional connectivity analysis in the rat brain J Grandjean, G Desrosiers-Gregoire, C Anckaerts, D Angeles-Valdez, ... Nature Neuroscience, 1-9, 2023 | 42* | 2023 |
Moving beyond processing and analysis-related variation in neuroscience X Li, NB Esper, L Ai, S Giavasis, H Jin, E Feczko, T Xu, J Clucas, A Franco, ... BioRxiv, 2021.12. 01.470790, 2021 | 40 | 2021 |
PyBIDS: Python tools for BIDS datasets T Yarkoni, C Markiewicz, A de la Vega, K Gorgolewski, T Salo, ... Journal of Open Source Software 4 (40), 1294, 2019 | 38 | 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 | 35 | 2021 |
FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation BM Fuster, O Esteban, X Planes, P Aguiar, C Crespo, C Falcon, G Wollny, ... Neuroinformatics 11 (1), 77-89, 2013 | 32 | 2013 |
ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion A Adebimpe, M Bertolero, S Dolui, M Cieslak, K Murtha, EB Baller, ... Nature Methods 19 (6), 683-686, 2022 | 26 | 2022 |
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 | 26 | 2021 |