Reverse Dependencies of nilearn

The following projects have a declared dependency on nilearn:

• notip — Nonparametric True Discovery Proportion control for brain imaging
• nwbwidgets — This is nwbwidgets, widgets for viewing the contents of a NWB-file in Jupyter Notebooks using ipywidgets.
• onevox — Library for adding well described noise to images.
• osl — OHBA Software Library
• osl-dynamics — Models for infering dynamics in neuroimaging data
• panpipelines — MRI Processing Pipelines for PAN Healthy Minds for Life Study
• pfc-toolkit — The Precomputed Functional Connectome Toolkit
• pinr — Python tools for Interoperable Neuromorphometry Reporting
• pipetography — Pre/Post-processing pipeline for tractography wrapped around nipype and mrtrix3
• pyalfe — no summary
• PyBASC — A bootstrapping clustering algorithm for Python
• pyblm — The Big Linear Models Toolbox
• pyblmm — The Big Linear Mixed Models Toolbox
• pydfc — This package aims to provide a comprehensive framework for assessing dynamic functional connectivity (dFC) using multiple methods and comparing results across methods.
• pydra-mriqc — Pydra tasks package for mriqc
• pydra-nireports — Pydra tasks package for nireports
• pydra-niworkflows — Pydra tasks package for niworkflows
• pykale — Knowledge-aware machine learning from multiple sources in Python
• pymaia-learn — Python Package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet, nnDetection, MONAI).
• pynibs — A python toolbox to conduct non-invasive brain stimulation (NIBS) experiments.
• pySPFM — A python package for Paradigm Free Mapping (3dPFM and 3dMEPFM).
• qsm-forward — A forward-model simulation for Quantitative Susceptibility Mapping
• qsmxt — no summary
• rabies — RABIES: Rodent Automated Bold Improvement of EPI Sequences.
• rian-alba-tools — no summary
• RMTfunc — Eigenvalue unfolding and spectral observable computation
• roipy — Plotting brain regions of interest (ROI) for demonstration purposes in Python
• scilpy — Scilpy: diffusion MRI tools and utilities
• scuteegfe — EEG Signal Feature Exacting, a wrapper of mne_features
• sekupy — Detergent for your dirty neuroimaging pipelines
• shamo — A tool for electromagnetic modelling of the head and sensitivity analysis.
• siibra — siibra - Software interfaces for interacting with brain atlases
• skggm2 — Gaussian graphical models for scikit-learn.
• snake-fmri — A simulator and validator of fMRI reconstruction methods.
• spectquant — Specialized Package for Extracting Image Features for Cardiac Amyloidosis Quantification on SPECT.
• splora — Python library to estimate neuronal activity-related, activity-inducing and innovaition signals, as well as estimating global fluctuations.
• SubBrainSegment — Package for subcortical brain segmentation
• tedana — TE-Dependent Analysis (tedana) of multi-echo functional magnetic resonance imaging (fMRI) data.
• Teneto — Temporal network tools
• TigerSeg — Processing MRI images based on deep-learning
• tigersyn — Processing MRI images based on deep-learning
• totalspineseg — TotalSpineSeg is a tool for automatic instance segmentation and labeling of all vertebrae, intervertebral discs (IVDs), spinal cord, and spinal canal in MRI images.
• xai4mri — xai4mri is designed for advanced MRI analysis using deep learning combined with explainable A.I. (XAI).