Reverse Dependencies of nibabel
The following projects have a declared dependency on nibabel:
- netneurotools-scipyfix — Commonly used tools in the Network Neuroscience Lab
- netplotbrain — Package to plot networks on brains
- neurite — Neural Networks Toolbox for Medical Imaging
- neuroboros — Neuroimaging analysis in Python
- NeuroConn — A BIDS toolbox for connectivity & gradient analyses.
- neurofeatures — Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)
- neuroglancer-scripts — Conversion of images to the Neuroglancer pre-computed format
- NeuroGraph — no summary
- neurohab — Voxelwise brain habituation
- neurolang — "NeuroLang: Probabilistic Logic Programming for NeuroScience Research"
- neuromaps — A toolbox for projecting, resampling, and comparing brain maps
- neuropredict — easy and standardized predictive analysis for biomarkers, neuroimaging, and beyond
- NeuroRA — A Python Toolbox for Multimodal Neural Data Representation Analysis
- ngtools — Tracts visualization and annotation in neuroglancer
- nib-save-wrapper — no summary
- nibabel — Access a multitude of neuroimaging data formats
- nibabies — Processing workflows for magnetic resonance images of the brain in infants
- nibetaseries — BetaSeries Correlations implemented in Nipype
- nidb-to-bids — Our lab's code to convert data dumped from NiDB to BIDS
- nidmresults — Export of neuroimaging statistical results using NIDM as specified at http://nidm.nidash.org/specs/nidm-results.html.
- nifti-mrs — Software tools for the NIfTI-MRS data format
- nifti2dicom — A package to convert NIfTI images to DICOM format using a reference DICOM series.
- niftithings — A Python library for working with Nifti images.
- NiftyNet — An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
- niftypad — Neuroimaging for the Prevention of Alzheimer's Disease
- niftytorch — Deep Learning Library for NeuroImaging
- nigsp — A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data.
- nii-info — Display NIfTI image information in a tabular format
- nii-plot — Plot mean NIfTI timeseries
- nii2dcm — nii2dcm: NIfTI to DICOM creation with Python
- nii2png — A lightweight neuroimaging .nii to .png converter
- niicat — Preview nifti images on the terminal
- nilabels — Toolkit to manipulate and measure image segmentations in nifti format.
- nilearn — Statistical learning for neuroimaging in Python
- NiMARE — NiMARE: Neuroimaging Meta-Analysis Research Environment
- nimesh — A Python package to manipulate neuroimaging triangular meshes.
- nipy — A python package for analysis of neuroimaging data
- nipype — Neuroimaging in Python: Pipelines and Interfaces
- nipype-fsl-anat — Nipype interface(s) wrapping the `fsl_anat` command line tool
- nipype-generate-fieldmaps — Nipype workflow to generate fieldmaps from EPI acquisitions with differing phase-encoding directions
- nireports — NiReports - The Visual Report System (VRS) of NiPreps
- nisnap — nisnap
- nistats — Modeling and Statistical analysis of fMRI data in Python
- nitime — Nitime: timeseries analysis for neuroscience data
- nitransforms — NiTransforms -- Neuroimaging spatial transforms in Python.
- niutils — Various utilities to fast-track some boring python coding.
- niworkflows — NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
- nixtract — A unified interface for timeseries extraction from different functional neuroimaging file types
- nlsam — Implementation of "Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising"
- nltools — A Python package to analyze neuroimaging data
- nnunet — nnU-Net. Framework for out-of-the box biomedical image segmentation.
- nnunet-customized — nnU-Net. Framework for out-of-the box biomedical image segmentation.
- nnunet-inference-on-cpu-and-gpu — nnU-Net. Framework for out-of-the box biomedical image segmentation. Can do inference on both gpu(if cuda available) and cpu(if cuda not available)
- nnunetv2 — nnU-Net is a framework for out-of-the box image segmentation.
- nobrainer — A framework for developing neural network models for 3D image processing.
- nsdcode — NSD map data from various spaces
- numex — A quick-and-easy explorer for numerical data.
- onevox — Library for adding well described noise to images.
- orcaz — ORCA (Optimized Registration through Conditional Adversarial networks)
- osl-dynamics — Models for infering dynamics in neuroimaging data
- own-knowledge-gpt — Custom Knowledge GPT
- p-mod-api — Propelwise Modules
- p2022 — Propelwise Modules
- panpipelines — MRI Processing Pipelines for PAN Healthy Minds for Life Study
- parspin — A toolbox in support of Markello et al., 2020
- patch-denoise — Denoising method for sequence of images or volumes. Primarly targeting fMRI data.
- pattools — Toolkit for neuro-imaging data manipulation and automation
- pcarpet — pcarpet: create a carpet plot from fMRI data and decompose it with PCA.
- petdeface — A nipype PET and MR defacing pipeline for BIDS datasets utilizing FreeSurfer's MiDeFace.
- petprep-hmc — PETPrep Head Motion Correction Workflow
- pettobids — A python implementation of an ECAT to BIDS converter.
- pfc-toolkit — The Precomputed Functional Connectome Toolkit
- pfdo-mgz2image — Runs mgz2image on each nested dir of an inputdir
- phybers — Phybers: A Package for Brain Tractography Analysis.
- phys2cvr — Python library to generate regressors for and compute Cerebrovascular Reactivity and lag maps.
- picachooser — Lightweight GUI for sorting, classifying, and matching MELODIC ICA components.
- pilab-regis — Implementation of regis
- pinr — Python tools for Interoperable Neuromorphometry Reporting
- pipetography — Pre/Post-processing pipeline for tractography wrapped around nipype and mrtrix3
- pkg-try-19-mb — A basic hello package
- popeye — popeye : voxel population receptive fields from fMRI data
- populse-mia — populse_mia
- prfsim — A free & open source python tool for population receptive field simulation of fMRI data.
- protocol — generic framework to develop protocols with implementations in neuroscience
- psmoe — A simple module for prostate segmentation of T2-W MRI sequences in Nifti format
- pumaz — PUMA (PET Universal Multi-tracer Aligner) is a robust and efficient tool for aligning images from different PET tracers. It leverages advanced diffeomorphic imaging techniques to offer high-precision alignment for multiplexed tracer images. PUMA aims to significantly enhance the accuracy and reproducibility of PET image studies.
- PyBASC — A bootstrapping clustering algorithm for Python
- pybids — bids: interface with datasets conforming to BIDS
- pybids-reports — pybids-reports: report generator for BIDS datasets
- pyblm — The Big Linear Models Toolbox
- pyblmm — The Big Linear Mixed Models Toolbox
- pyBruker — Python Bruker Raw Data Handler
- pycad-medic — A medical imaging library for Python
- pydactim — no summary
- PyDesigner-DWI — Python Port of NYU's Designer pipeline for dMRI processing
- PyDWI — Fast ADC and DKI maps
- PyHySCO — Pytorch toolbox for Hyperelastic Susceptibility Artifact Correction
- pymedio — read arbitrary medical images in python
- pymirc — Python imaging utilities developed in the medical imaging research center of KU Leuven
- pymrt — Python Magnetic Resonace Tools