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 provides tools to convert publicly available neuroimaging datasets into BIDS, namely:
- ADNI: Alzheimer’s Disease Neuroimaging Initiative
- AIBL: Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing
- NIFD: Neuroimaging in Frontotemporal Dementia
- OASIS: Open Access Series of Imaging Studies
Clinica can process any BIDS-compliant dataset with a set of complex processing pipelines involving different software packages for the analysis of neuroimaging data (T1-weighted MRI, diffusion MRI and PET data).
Clinica also provides seamless integration between feature extraction and statistics, machine learning or deep learning and is showcased as a framework for reproducible classification of Alzheimer’s disease.
Project Author(s)
Alexandre Routier; Ninon Burgos; Mauricio Diaz; Michael Bacci; Simona Bottani; Omar El-Rifai; Sabrina Fontanella; Pietro Gori; Jérémy Guillon; Alexis Guyot; Ravi Hassanaly; Thomas Jacquemont; Pascal Lu; Arnaud Marcoux; Tristan Moreau; Jorge Samper-Gonzalez; Marc Teichmann; Elina Thibeau–Sutre; Ghislain Vaillant; Junhao Wen; Adam Wild; Marie-Odile Habert; Stanley Durrleman; Olivier Colliot
Project Links
https://github.com/aramis-lab/clinica
This post was automatically generated by ARAMIS Lab