M2G: Reliable Human Connectomes At Scale
When using data, figures, or tools shared here, please cite:
G. Kiar et al. neurodata/ndmg: Stable ndmg-DWI Pipeline Release. Zenodo, 2018.
G. Kiar et al. A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability. bioRxiv, 2018.
G. Kiar et al. Example use case of sic with the ndmg pipeline (sic: ndmg). GigaScience Database, 2017.
G. Kiar et al. Science in the cloud (SIC): A use case in MRI connectomics. GigaScience, (5)6:1-10, 2017.
Previous Pipeline Papers
W. G. Roncal et al. MIGRAINE: MRI graph reliability analysis and inference for connectomics. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, 2013.
W. R. Gray et al. Magnetic Resonance Connectome Automated Pipeline: An Overview. IEEE Pulse, (2)3:42-48, 2012.
D. Mhembere et al. Computing scalable multivariate glocal invariants of large (brain-) graphs. 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings, 2013.
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