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Clinica is a software platform for clinical research studies involving patients with neurological and psychiatric diseases and the acquisition of multimodal data (neuroimaging, clinical and cognitive evaluations, genetics...), most often with longitudinal follow-up.
Clinica is command-line driven and written in Python. It uses the Nipype system for pipelining and combines widely-used software packages for neuroimaging data analysis (ANTs, FreeSurfer, FSL, MRtrix, PETPVC, SPM), machine learning (Scikit-learn) and the BIDS standard for data organization.
https://clinicadl.readthedocs.io/en/latest/ ClinicaDL is the deep learning extension of Clinica, an open-source Python library for neuroimaging preprocessing and analysis. This library was developed from the AD-DL project, a GitHub repository hosting the source code of a scientific publication on the deep learning classification of brain images in the context of Alzheimer's disease. This is why some functions (label definition and data set restriction) of ClinicaDL are still specific to Alzheimer's disease context. For more information on this clinical context, please refer to our tutorial.
Clinica provides tools to convert publicly available neuroimaging datasets into BIDS, namely:
The text was updated successfully, but these errors were encountered:
https://github.com/aramis-lab/clinica
Clinica is a software platform for clinical research studies involving patients with neurological and psychiatric diseases and the acquisition of multimodal data (neuroimaging, clinical and cognitive evaluations, genetics...), most often with longitudinal follow-up.
Clinica is command-line driven and written in Python. It uses the Nipype system for pipelining and combines widely-used software packages for neuroimaging data analysis (ANTs, FreeSurfer, FSL, MRtrix, PETPVC, SPM), machine learning (Scikit-learn) and the BIDS standard for data organization.
https://clinicadl.readthedocs.io/en/latest/
ClinicaDL is the deep learning extension of Clinica, an open-source Python library for neuroimaging preprocessing and analysis. This library was developed from the AD-DL project, a GitHub repository hosting the source code of a scientific publication on the deep learning classification of brain images in the context of Alzheimer's disease. This is why some functions (label definition and data set restriction) of ClinicaDL are still specific to Alzheimer's disease context. For more information on this clinical context, please refer to our tutorial.
Clinica provides tools to convert publicly available neuroimaging datasets into BIDS, namely:
The text was updated successfully, but these errors were encountered: