https://github.com/aramis-lab/clinicadl
Framework for the reproducible processing of neuroimaging data with deep learning methods
https://github.com/aramis-lab/clinicadl
alzheimer-disease brain-imaging convolutional-neural-network deep-learning medical-imaging neuroimaging python pytorch
Last synced: 3 months ago
JSON representation
Framework for the reproducible processing of neuroimaging data with deep learning methods
- Host: GitHub
- URL: https://github.com/aramis-lab/clinicadl
- Owner: aramis-lab
- License: mit
- Created: 2019-07-15T15:02:36.000Z (over 6 years ago)
- Default Branch: dev
- Last Pushed: 2025-07-25T13:45:08.000Z (4 months ago)
- Last Synced: 2025-07-25T19:38:14.559Z (4 months ago)
- Topics: alzheimer-disease, brain-imaging, convolutional-neural-network, deep-learning, medical-imaging, neuroimaging, python, pytorch
- Language: Python
- Homepage: http://clinicadl.aramislab.fr/
- Size: 128 MB
- Stars: 174
- Watchers: 6
- Forks: 60
- Open Issues: 49
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
- Citation: CITATION.cff
Awesome Lists containing this project
README
ClinicaDL
Framework for the reproducible processing of neuroimaging data with deep learning methods
Documentation |
Tutorial |
Forum
## About the project
This repository hosts ClinicaDL, the deep learning extension of [Clinica](https://github.com/aramis-lab/clinica),
a Python library to process neuroimaging data in [BIDS](https://bids.neuroimaging.io/index.html) format.
> **Disclaimer:** this software is **under development**. Some features can
change between different releases and/or commits.
To access the full documentation of the project, follow the link [https://clinicadl.readthedocs.io/](https://clinicadl.readthedocs.io/).
If you find a problem when using it or if you want to provide us feedback,
please [open an issue](https://github.com/aramis-lab/ad-dl/issues) or write on
the [forum](https://groups.google.com/forum/#!forum/clinica-user).
## Getting started
ClinicaDL currently supports macOS and Linux.
We recommend to use `conda` or `virtualenv` for the installation of ClinicaDL
as it guarantees the correct management of libraries depending on common packages:
```{.sourceCode .bash}
conda create --name ClinicaDL python=3.10
conda activate ClinicaDL
pip install clinicadl
```
## Tutorial
Visit our [hands-on tutorial web site](https://aramislab.paris.inria.fr/clinicadl/tuto)
to start using **ClinicaDL** directly in a Google Colab instance!
## Related Repositories
- [Clinica: Software platform for clinical neuroimaging studies](https://github.com/aramis-lab/clinica)
- [AD-DL: Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation](https://github.com/aramis-lab/AD-DL)
- [AD-ML: Framework for the reproducible classification of Alzheimer's disease using machine learning](https://github.com/aramis-lab/AD-ML)
## Citing us
- Thibeau-Sutre, E., Díaz, M., Hassanaly, R., Routier, A., Dormont, D., Colliot, O., Burgos, N.: ‘ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing‘, 2021. [hal-03351976](https://hal.inria.fr/hal-03351976)
- Routier, A., Burgos, N., Díaz, M., Bacci, M., Bottani, S., El-Rifai O., Fontanella, S., Gori, P., Guillon, J., Guyot, A., Hassanaly, R., Jacquemont, T., Lu, P., Marcoux, A., Moreau, T., Samper-González, J., Teichmann, M., Thibeau-Sutre, E., Vaillant G., Wen, J., Wild, A., Habert, M.-O., Durrleman, S., and Colliot, O.: ‘Clinica: An Open Source Software Platform for Reproducible Clinical Neuroscience Studies’, 2021. [doi:10.3389/fninf.2021.689675](https://doi.org/10.3389/fninf.2021.689675) [Open Access version](https://hal.inria.fr/hal-02308126)