Reverse Dependencies of nibabel
The following projects have a declared dependency on nibabel:
- indexed-gzip — Fast random access of gzip files in Python
- inpainting — Official package to compute metrics for the BraTS inpainting challenge.
- inpainting-metrics — TODO.
- intensity-normalization — normalize the intensities of various MR image modalities
- interactivenet — InteractiveNet, a framework for minimally interactive medical image segmentation.
- ivadomed — Feature conditioning for IVADO medical imaging project.
- jarvis-md-nifti — no summary
- jem — Python package for MRI and electrophysiology analysis.
- junifer — JUelich NeuroImaging FEature extractoR
- kaiko-eva — Evaluation Framework for oncology foundation models.
- kelluwen — Open AI library for research and education.
- labelmerge — Snakebids app for merging multiple label maps.
- lapy — A package for differential geometry on meshes (Laplace, FEM)
- launchcontainers — Launch Containers Package
- lesion-metrics — metrics for evaluating lesion segmentations
- linumpy — linumpy: microscopy tools and utilities
- liom-toolkit — Package to support the research of LIOM.
- lionz — A toolkit for precise segmentation of tumors in PET/CT scans.
- livermask — A package for automatic segmentation of liver from CT data
- lsfmpy — HDF5-based software for storing and managing voluminous 3D imaging data
- lwviewv2 — Viewer of images in python.
- lyman — lyman: neuroimaging analysis in Python
- lytemaps — Lightweight implementation of neuromaps
- m2g — Neuro Data MRI to Graphs Pipeline
- macapype — Pipeline for anatomic processing for macaque
- mapca — Moving Average Principal Component Analysis for fMRI data
- matplotlib-surface-plotting — Brain mesh plotting in matplotlib
- mcot.cifti — CIFTI/greyordinate interface
- mcot.dippi — Simulates/fits DIPPI data
- mcot.gcoord — Gyral coordinate system
- mcot.pipe — Declerative pipeline definition
- mcot.surface — surface interface
- mcot.utils — Utilities for mcot including script interface
- mct — The MRI Coil-reconstruct Toolbox
- mdai — MD.ai Python client library
- medcam — An easy to use library that makes model predictions more interpretable for humans.
- medicaltorch — An open-source pytorch medical framework.
- medimage-pkg — MEDimage is a Python package for processing and extracting features from medical images
- medimages4tests — Generates dummy medical image data with realistic headers to be used in image handling tests
- medio — Medical images I/O Python package
- medivisio — This script helps to visualise 3D medical images of type DICOM and NII
- medreaders — Readers for medical imaging datasets
- medviz — Medical Image Visualization Tool 🐍🚀🎉🦕
- meggie-sourceanalysis — no summary
- mgz2imgslices — (Python) utility to filter mgz volumes to per-voxel-value directories of jpg/png image slices
- mia-processes — mia_processes
- miaaim-python — Multi-omics Image Alignment and Analysis by Information Manifolds
- micomputing — 'micomputing' is a package for medical image computing.
- mindstorm — Mindstorm: Advanced analysis of neuroimaging data
- miniqc — A BIDS app for performing minimal QC beyond validation
- mippy — Modular Image Processing in Python
- miscnn — Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
- miscnn-TF-1.14 — Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
- miscnn-TF-2.0 — Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
- MiTfAT — A Python-based Scikit-Learn-friendly fMRI Analysis Tool, Made in Tuebingen.
- miutil — Medical imaging utilities for the AMYPAD and NiftyPET projects
- mmsegmentation — Open MMLab Semantic Segmentation Toolbox and Benchmark
- mne-bids — MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python
- mne-bids-pipeline — A full-flegded processing pipeline for your MEG and EEG data
- mne-connectivity — mne-connectivity: A module for connectivity data analysis with MNE.
- mne-gui-addons — MNE-Python GUI addons.
- mne-pipeline-hd — A Pipeline-GUI for MNE-Python from MEG-Lab Heidelberg
- mne-rsa — Code for performing Representational Similarity Analysis on MNE-Python data structures.
- mni-to-atlas — A simple Python-based tool for finding brain atlas regions based on MNI coordinates.
- mnisiscom — A simple command line tool and GUI for computing subtraction ictal SPECT coregistered to MRI (SISCOM). mnisiscom is exclusively intended for research use!
- monai — AI Toolkit for Healthcare Imaging
- monai-weekly — AI Toolkit for Healthcare Imaging
- moosez — An AI-inference engine for 3D clinical and preclinical whole-body segmentation tasks
- morphometry — FreeSurfer E2E pipeline
- morphonet — Python API to interact with MorphoNet
- mosamaticdesktop — Desktop tool for analyzing medical images
- moval — Model evaluation without manual labels
- mpunet — Multi-Planar UNet for autonomous segmentation of 3D medical images
- MR-OCTOPUS — Off-resonance correction of MR images
- mrainet — MR acquisition-invariant network.
- mrdataset — MRdataset
- mrftools — Tools for Magnetic Resonance Fingerprinting
- mri_tools — Various tools for MRI related work.
- mriqc — Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain.
- mrirage — MRI visualization
- MRISeg — A deep learnign based method to segment deep brain structures from T1w MRI
- mrisnapshot — QC tool for verification of datasets with MRI images and derived maps
- mrivis — Intuitive high-level classes for visualization of medical imaging data
- mrQA — mrQA suite of tools offering automatic evaluation of protocol compliance
- mrs-denoising-tools — Package for low-rank denoising of magnetic resonance spectroscopic imaging
- msiimport — Access analyze75 formatted mass spec images
- multiecho — Combine multi-echoes from a multi-echo fMRI acquisition.
- muscle-bids — Library for standardized data input/output for muscle MR imaging, based on BIDS
- MVComp — Multivariate Comparisons using Whole-brain and ROI-derived Metrics from MRI
- nanslice — Scripts to slice and display neuroimages (probably stored in nifti format)
- napari-mri — A simple plugin to use with napari for 3D-viewing of Magnetic Resonance Imaging file formats
- napari-nibabel — Read access to some common neuroimaging file formats
- nctpy — Python implementation of concepts from network control theory
- ndagen — Command Line Tool to Generate Metadata Spreadsheet for NDA Upload
- ndexchange — Python 3 program to download data from NeuroData
- ndmg — Neuro Data MRI to Graphs Pipeline
- ndslib — Utility functions for Neuroimaging and Data Science
- nekton — A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion
- neolibrary — The general utils library for neomedsys development
- netneurotools — A toolbox for network neuroscience