Published June 2, 2023
| Version v1
Software
Open
A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn
Creators
- 1. Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada
- 2. Harvard University, MA, USA
- 3. Computer Science and Operations Research Department, Université de Montréal, Montréal, Québec, Canada
- 4. Inria, CEA, Université Paris-Saclay, Paris, France
- 5. Department of Psychology, Stanford University, Stanford, United States
Description
Docker image built from the reference repository/commit by roboneuro, based on the latest change by the author, using repo2docker (through BinderHub).
To run locally:
-
docker load < DockerImage_10.55458_NeuroLibre_00012_b56875.tar.gz
-
by replacingdocker run -it --rm -p 8888:8888 DOCKER_IMAGE_ID jupyter lab --ip 0.0.0.0
DOCKER_IMAGE_ID
above with the respective ID of the Docker image loaded from the tar.gz. file.
For details, please visit the corresponding NeuroLibre technical screening.
Files
Files
(1.3 GB)
Name | Size | Download all |
---|---|---|
md5:1899fc3a71b7cfaf9a47133fbc5003b5
|
1.3 GB | Download |
Additional details
Related works
- Is supplement to
- Preprint: 10.55458/neurolibre.00012 (DOI)