bids-apps / dockerfile-templatesLinks
Dockerfile templates commonly used in BIDS Apps
☆11Updated last month
Alternatives and similar repositories for dockerfile-templates
Users that are interested in dockerfile-templates are comparing it to the libraries listed below
Sorting:
- A setup for automatic generation of shareable, version-controlled BIDS datasets from MR scanners☆49Updated 6 months ago
- Fit Linear Models to BIDS Datasets☆77Updated 3 weeks ago
- A BIDS App for minimal preprocessing using the HCP Pipelines☆37Updated last month
- VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.☆74Updated 4 months ago
- A neuroscience library for Python, intended to complement the existing nibabel library.☆127Updated last month
- A Python implementation of 'dual-coding'☆43Updated last year
- To convert Human Connectome projects(HCP) data to BIDS std☆30Updated 3 years ago
- MOVED TO https://github.com/nipreps/dmriprep☆17Updated 2 years ago
- Beginner's guide for Nipype☆37Updated 2 years ago
- Nuisance removal tool for fMRI data☆57Updated last year
- ☆101Updated 8 years ago
- Configurable Pipeline for the Analysis of Connectomes☆73Updated 2 weeks ago
- BIDS app wrapping recon-all from FreeSurfer☆43Updated last month
- List of ressources and practicals used for the fMRI data analysis course of UoB (UK) (2014-2017)☆46Updated 2 years ago
- This an example app that can serve as a template.☆17Updated last week
- Code and documentation for the Brains for Publication proposal for the 2016 OHBM Hackathon☆31Updated 6 years ago
- The neural basis of intelligence in fine-grained cortical topographies☆11Updated 4 years ago
- Bootstrapped Analysis of Stable Clusters- A semi-automated fMRI individual and group level functional parcellation technique☆26Updated 6 years ago
- Harmonizing neuroimaging data across scanners and sites☆35Updated 5 years ago
- Official public repository for the XCP Engine. This tool is deprecated in favor of XCP-D and ASLPrep.☆65Updated 2 years ago
- ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.☆104Updated last year
- Nipype implementation of BetaSeries Correlations (Beta)☆34Updated 2 years ago
- A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning☆123Updated last year
- Generate and run SLURM jobs on HPCs☆12Updated 3 months ago
- PALM: Permutation Analysis of Linear Models☆80Updated this week
- Curation of BIDS (CuBIDS): A sanity-preserving software package for processing BIDS datasets.☆28Updated 2 weeks ago
- Python interface for generating coordinate tables and region labels from statistical MRI images☆111Updated this week
- A VM setup for use in fMRI analysis and education☆57Updated last year
- Tool to convert raw MRI datasets to BIDS-compatible datasets☆35Updated 3 years ago
- Fragments FreeSurfer parcellation annotation in N-equal sized parcels☆28Updated 5 years ago