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src=\"https://clinicadl.readthedocs.io/en/stable/images/logo.png\" alt=\"ClinicaDL Logo\" width=\"120\" height=\"120\"\u003e\n  \u003c/a\u003e\n  \u003cbr/\u003e\n  ClinicaDL\n\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\u003cstrong\u003eFramework for the reproducible processing of neuroimaging data with deep learning methods\u003c/strong\u003e\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://ci.inria.fr/clinicadl/job/AD-DL/job/dev/\"\u003e\n    \u003cimg src=\"https://ci.inria.fr/clinicadl/buildStatus/icon?job=AD-DL%2Fdev\" alt=\"Build Status\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://badge.fury.io/py/clinicadl\"\u003e\n    \u003cimg src=\"https://badge.fury.io/py/clinicadl.svg\" alt=\"PyPI version\"\u003e\n  \u003c/a\u003e\n  \u003ca href='https://clinicadl.readthedocs.io/en/stable/?badge=stable'\u003e\n    \u003cimg src='https://readthedocs.org/projects/clinicadl/badge/?version=stable' alt='Documentation Status' /\u003e\n  \u003c/a\u003e\n  \u003ca href='https://pepy.tech/project/clinicadl'\u003e\n    \u003cimg src='https://static.pepy.tech/badge/clinicadl/month' alt='Downloads' /\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://clinicadl.readthedocs.io/\"\u003eDocumentation\u003c/a\u003e |\n  \u003ca href=\"https://aramislab.paris.inria.fr/clinicadl/tuto\"\u003eTutorial\u003c/a\u003e |\n  \u003ca href=\"https://groups.google.com/forum/#!forum/clinica-user\"\u003eForum\u003c/a\u003e\n\u003c/p\u003e\n\n\n## About the project\n\nThis repository hosts ClinicaDL, the deep learning extension of [Clinica](https://github.com/aramis-lab/clinica), \na Python library to process neuroimaging data in [BIDS](https://bids.neuroimaging.io/index.html) format.\n\n\u003e **Disclaimer:** this software is **under development**. Some features can\nchange between different releases and/or commits.\n\nTo access the full documentation of the project, follow the link [https://clinicadl.readthedocs.io/](https://clinicadl.readthedocs.io/). \nIf you find a problem when using it or if you want to provide us feedback,\nplease [open an issue](https://github.com/aramis-lab/ad-dl/issues) or write on\nthe [forum](https://groups.google.com/forum/#!forum/clinica-user).\n\n## Getting started\n\nClinicaDL currently supports macOS and Linux.\n\nWe recommend to use `conda` or `virtualenv` for the installation of ClinicaDL\nas it guarantees the correct management of libraries depending on common packages:\n\n```{.sourceCode .bash}\nconda create --name ClinicaDL python=3.10\nconda activate ClinicaDL\npip install clinicadl\n```\n\n## Tutorial\n\nVisit our [hands-on tutorial web site](https://aramislab.paris.inria.fr/clinicadl/tuto)\nto start using **ClinicaDL** directly in a Google Colab instance!\n\n## Related Repositories\n\n- [Clinica: Software platform for clinical neuroimaging studies](https://github.com/aramis-lab/clinica)\n- [AD-DL: Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation](https://github.com/aramis-lab/AD-DL)\n- [AD-ML: Framework for the reproducible classification of Alzheimer's disease using machine learning](https://github.com/aramis-lab/AD-ML)\n\n## Citing us\n\n- 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)\n- 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)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faramis-lab%2Fclinicadl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faramis-lab%2Fclinicadl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faramis-lab%2Fclinicadl/lists"}