Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Authors
Keywords
-
Journal
Frontiers in Neuroinformatics
Volume 13, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-02-07
DOI
10.3389/fninf.2019.00001
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Toward standard practices for sharing computer code and programs in neuroscience
- (2017) Stephen J Eglen et al. NATURE NEUROSCIENCE
- Best practices in data analysis and sharing in neuroimaging using MRI
- (2017) Thomas E Nichols et al. NATURE NEUROSCIENCE
- The ASA's Statement onp-Values: Context, Process, and Purpose
- (2016) Ronald L. Wasserstein et al. AMERICAN STATISTICIAN
- The NITRC image repository
- (2016) David N. Kennedy et al. NEUROIMAGE
- The human hippocampus is not sexually-dimorphic: Meta-analysis of structural MRI volumes
- (2016) Anh Tan et al. NEUROIMAGE
- XNAT Central: Open sourcing imaging research data
- (2016) Rick Herrick et al. NEUROIMAGE
- The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository
- (2016) Terry L. Jernigan et al. NEUROIMAGE
- What does research reproducibility mean?
- (2016) Steven N. Goodman et al. Science Translational Medicine
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
- (2016) Krzysztof J. Gorgolewski et al. Scientific Data
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- FORCE11: Building the Future for Research Communications and e-Scholarship
- (2015) Maryann E. Martone BIOSCIENCE
- Reproducibility of neuroimaging analyses across operating systems
- (2015) Tristan Glatard et al. Frontiers in Neuroinformatics
- Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements
- (2014) Nicholas J. Tustison et al. NEUROIMAGE
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
- (2013) A Di Martino et al. MOLECULAR PSYCHIATRY
- Power failure: why small sample size undermines the reliability of neuroscience
- (2013) Katherine S. Button et al. NATURE REVIEWS NEUROSCIENCE
- Towards structured sharing of raw and derived neuroimaging data across existing resources
- (2013) D.B. Keator et al. NEUROIMAGE
- Human Connectome Project informatics: Quality control, database services, and data visualization
- (2013) Daniel S. Marcus et al. NEUROIMAGE
- Making data sharing work: The FCP/INDI experience
- (2012) Maarten Mennes et al. NEUROIMAGE
- Excess Significance Bias in the Literature on Brain Volume Abnormalities
- (2011) John P. A. Ioannidis ARCHIVES OF GENERAL PSYCHIATRY
- An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data
- (2011) Brian B. Avants et al. NEUROINFORMATICS
- Reproducible Research in Computational Science
- (2011) R. D. Peng SCIENCE
- Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
- (2011) Krzysztof Gorgolewski et al. Frontiers in Neuroinformatics
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started