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mkdocs.yml
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# Project information
site_name: Clinica Documentation
site_author: Clinica contributors
site_url: https://aramislab.paris.inria.fr/clinica/docs/public
site_description: >-
Software platform for clinical neuroimaging studies
# Repository
repo_name: aramislab/clinica
repo_url: https://github.com/aramis-lab/clinica
#edit_uri: master/edit/doc
# Copyright
copyright: Copyright © 2016-2021 Clinica contributors
# Configuration
theme:
name: material
icon:
repo: material/github
language: en
palette:
primary: light blue
accent: light blue
# Version panel
extra_javascript:
- 'https://code.jquery.com/jquery-3.3.1.min.js'
# Customization
extra_css:
- css/clinica.css
extra:
feature:
tabs: true
social:
- icon: material/github
link: https://github.com/aramis-lab/
- icon: material/twitter
link: https://twitter.com/clinica_run
- icon: material/earth
link: http://www.aramislab.fr
version:
provider: mike
# Extensions
markdown_extensions:
- admonition
- codehilite
- footnotes
- pymdownx.details
- pymdownx.emoji
- pymdownx.keys
- pymdownx.superfences
- toc:
permalink: True
# Page tree
nav:
- Home: index.md
- Installation:
- Installation: Installation.md
- Third-party: Third-party.md
# - Before your install: BeforeYouInstall
# - ICM cluster installation: ICMClusterInstallation
# - Quick start:
- Clinica environment:
- What is Clinica?: WhatIsClinica.md
- Interacting with Clinica: InteractingWithClinica.md
- BIDS: BIDS.md
- CAPS:
- Introduction: CAPS/Introduction.md
- Specifications: CAPS/Specifications.md
- Atlases: Atlases.md
- Pipelines:
- Anatomical MRI:
- T1 Linear processing: Pipelines/T1_Linear.md
- FLAIR Linear processing : Pipelines/FLAIR_Linear.md
- Volume processing: Pipelines/T1_Volume.md
- FreeSurfer processing: Pipelines/T1_FreeSurfer.md
- FreeSurfer longitudinal processing: Pipelines/T1_FreeSurfer_Longitudinal.md
- DWI:
- Pre-processing: Pipelines/DWI_Preprocessing.md
- DTI: Pipelines/DWI_DTI.md
- Connectome: Pipelines/DWI_Connectome.md
- PET:
- Introduction: Pipelines/PET_Introduction.md
- Linear processing: Pipelines/PET_Linear.md
- Volume processing: Pipelines/PET_Volume.md
- Surface processing: Pipelines/PET_Surface.md
- Surface longitudinal processing: Pipelines/PET_Surface_Longitudinal.md
- Statistics:
- Surface-based mass-univariate analysis: Pipelines/Stats_Surface.md
- Volume-based mass-univariate analysis: Pipelines/Stats_Volume.md
- Machine Learning:
- Prepare input data for spatially regularized SVM: Pipelines/MachineLearning_PrepareSVM.md
- Classification based on machine learning: Pipelines/MachineLearning_Classification.md
- Dataset converters:
- ADNI to BIDS: Converters/ADNI2BIDS.md
- AIBL to BIDS: Converters/AIBL2BIDS.md
- HABS to BIDS: Converters/HABS2BIDS.md
- NIFD to BIDS: Converters/NIFD2BIDS.md
- OASIS to BIDS: Converters/OASIS2BIDS.md
- OASIS-3 to BIDS: Converters/OASIS3TOBIDS.md
- UK Biobank to BIDS: Converters/UKBtoBIDS.md
- I/O tools:
- create-subjects-visits: IO#create-subjects-visits-generate-the-list-all-subjects-and-visits-of-a-given-dataset
- check-missing-modalities: IO#check-missing-modalities-check-missing-modalities-for-each-subject
- check-missing-processing: IO#check-missing-processing-check-missing-processing-in-a-caps-directory
- merge-tsv: IO#merge-tsv-gather-bids-and-caps-data-into-a-single-tsv-file
- center-nifti: IO#center-nifti-center-the-nifti-files-of-a-bids-directory
- Presentations & demos:
- NOW 2019: ClinicaConferences#neuro-openscience-workshop-2019
- OHBM 2018: ClinicaConferences#educational-course-on-pattern-recognition-for-clinical-neuroimaging-ohbm-2018
- What's new: CHANGELOG.md
# - Collaborate:
# - Coding for Clinica: CodingForClinica