The LONI Pipeline Processing Environment

By David E. Rex, Jeffrey Q Ma, Arthur W. Toga. NeuroImage, 2003

344 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b7b7705f6a6492a680410b551eb37a59c83e8567

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Russell A. Poldrack
2. Krzysztof J. Gorgolewski
3. Joel L. Voss
4. Donna J Bridge
5. Satrajit S. Ghosh
6. Arthur W. Toga
7. Yaroslav O. Halchenko
8. Katherine L. Narr

In Radiology, Nuclear Medicine and Imaging

1. Arthur W. Toga
2. Russell A. Poldrack
3. Joel L. Voss
4. Donna J Bridge
5. Katherine L. Narr
6. Satrajit S. Ghosh
7. Cornelius Hojatkashani
8. Vitria Adisetiyo

Citations in the corpus

• Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline (2009, unknown): “Version 4 of the LONI Pipeline , extends the previous implementation of this environment (Rex et al., 2003).”
• Hippocampal Binding of Novel Information with Dominant Memory Traces Can Support Both Memory Stability and Change (2014, methodology): “Functional images were aligned to the structural image, and then both were converted to stereotactic space using a standard template (Rex et al., 2003).”
• Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (2011, background): “However, the LONI Pipeline does not come without limitations.”
• Ten Simple Rules for Reproducible Computational Research (2013, background): “If you are instead performing your analyses through an integrated framework (such as Gene-Pattern [10], Galaxy [11], LONI pipeline [12], or Taverna [13]), the system may already provide full or partial support for most of the rules.”
• Making big data open: data sharing in neuroimaging (2014, background): “Both LONI Pipeline and Nipype not only manage efficient execution of pipelines but also provide provenance tracking 67 .”
• Construction of a 3D probabilistic atlas of human cortical structures (2008, methodology): “The atlas data sets produced by this research are being made available publicly via our website, http://www.loni.ucla.edu/Atlases/LPBA40.”
• Best Practices in Data Analysis and Sharing in Neuroimaging using MRI (2016, unknown): “, MacIntyre, L. C., Madjar, C., Rogers, C., Rousseau, M.-E., ... Evans, A. C. (2016). The MNI data-sharing and processing ecosystem.”