Reverse Dependencies of nibabel
The following projects have a declared dependency on nibabel:
- dcdf — Package to compute DCDF for nifti formatted MRI data.
- dcmextras — Additional dicom tools for pydicom and Siemens
- dcmstack — Stack DICOM images into volumes and convert to Nifti
- ddmra — A Python package for distance-dependent motion-related artifact (DDMRA) analysis.
- deep-brain-segment — A deep learnign based method to segment deep brain structures from T1w MRI
- deep-labelprop — Label propagation using deep registration
- deep-medical-toolkit — Tools to facilitate deep learning research with a focus on medical imaging.
- deepbrain — Deep Learning-based tools for processing brain images
- DeepBrainSeg — Deep Learning tool for brain tumor segmentation.
- deepdefacer — Automatic Removal of Facial Features from MRI Images
- deepdrr — A Catalyst for Machine Learning in Fluoroscopy-guided Procedures.
- deepinterpolation — Implemenent DeepInterpolation to denoise data by removing independent noise
- deepneuro — DeepNeuro: A deep learning python package for neuroimaging data.
- deepreg — DeepReg is a freely available, community-supported open-source toolkit for research and education in medical image registration using deep learning.
- deformetrica — Software for the statistical analysis of 2D and 3D shape data.
- dicom2nifti — package for converting dicom files to nifti
- dicomthings — A Python library for working with DICOM files.
- difit — Diffusion weighted models fitting
- digital-diffeomorphism — Digital diffeomorphism: Non-diffeomorphic volume and non-diffeomorphic area computation
- dkmri-WIN — Reproducible and efficient diffusion kurtosis imaging in Python.
- dmri-pcconv — Parametric Continuous Convolution framework used for Diffusion MRI.
- dmri-rcnn — Diffusion MRI Recurrent CNN for Angular Super-resolution.
- dmriprep — dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
- dosma — An AI-powered open-source medical image analysis toolbox
- DSC-NSD-TEST — pytorch implementation of DICE loss
- dti-conv — A command line utility that allows easy modifications on DWI volumes and Datasets.
- dti-pipeline — A command line utility that allows easy modifications on DWI volumes and Datasets.
- dvoryan — Reproducible and efficient diffusion kurtosis imaging in Python.
- dwiprep — DWIprep is a robust and easy-to-use preprocessing pipeline for diffusion-weighted imaging of various acquisitions.
- dwiqc — Quality Assurance Pipeline for Diffusion MR Data
- easy-mitk — An easy-to-use Medical Imaging ToolKit
- ecatdump — This tool provides similar utility and output to ecat images that dcmdump from the dcmtk does for dicom images.
- edanif — EDA-NIf creates a dataframe containing meta information of NIfTi files and provides several useful features.
- eddy-squeeze — Visualize extra information from FSL 6.0.1 eddy outputs
- eelbrain — MEG/EEG analysis tools
- eigenstrapping — For generating surrogate brain maps with spatial autocorrelation using geometric eigenmodes.
- eisen-core — Eisen is a collection of tools to train neural networks for medical image analysis
- EmphysemaSeg — Lobe segmentation and emphysema quantification for chest CT
- entense — Data-to-tensor workflows for functional neuroimaging data
- erwin — Toolbox to generate quantitative maps from MRI images
- eslearn — This project is designed for machine learning in resting-state fMRI field
- evalseg — Medical Image Segmentation Evaluation
- falconz — FalconZ: A streamlined Python package for PET motion correction.
- FastMF — FastMF is a python package for microstructural property characterization using deep learning based on diffusion MRI data.
- fcdproc — Python package for FCD lesion detection.
- file-cache — Cache dataframe with local hd5 file, and reduce the memory by convert type for number
- fileformats-medimage-extras — Classes for representing different file formats in Python classes for use in type hinting in data workflows
- fireants — FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Registration
- fitlins — Fit Linear Models to BIDS Datasets
- fitz — Fitz: Workflow Mangement for neuroimaging data.
- flywheel-gear-toolkit — Tooling for developing Flywheel gears
- fmralign — Functional alignment of fMRI data in Python
- fmri-anonymizer — Anonymize your DICOM and NIFTI files with this tool easily.
- fmridenoise — fMRIDenoise - automated denoising, denoising strategies comparison, and functional connectivity data quality control.
- fmriprep — A robust and easy-to-use pipeline for preprocessing of diverse fMRI data
- fmristats — Modelling the data and not the images in FMRI
- fodnet — FOD-Net Reimplementation.
- foundation-cancer-image-biomarker — Official repo for Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging [INSERT DOI]
- frat-brain — Application for ROI fMRI data analysis.
- fsl-pyfeeds — FSL testing framework
- fslgui — fslgui
- fslpy — FSL Python library
- fslvbmparsers — fsl and vbm parsers
- fsqc — Quality control scripts for FastSurfer and FreeSurfer structural MRI data
- fsutils — Utilities for working with FreeSurfer data
- fury — FURY - Free Unified Rendering in pYthon. A free and open-source software library for Scientific Visualization and 3D animations
- fuse-med-ml — A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
- fw-file — Unified data-file interface
- fw-gear-dcm2niix — A Flywheel Gear for implementing Chris Rorden's dcm2niix for converting DICOM (or PAR/REC) to NIfTI (or NRRD).
- fw-gear-file-classifier — Generic File Classifier
- fw-gear-file-metadata-importer — Extract metadata of input file to Flywheel.
- fw-gear-hierarchy-curator — Custom hierarchy curation gear
- fw-gear-mask-exporter — no summary
- fw-gear-nifti-to-mips — Convert nifti to MIPS.
- gawseed-tcorex — Correlation Explanation Methods
- gbb — Gradient-based boundary (GBB) surface refinement
- gcam — An easy to use framework that makes model predictions more interpretable for humans.
- gcnn-dmri — Graph-equivariant CNNs for diffusion MRI
- glm-express — Automated linear models for functional neuroimaging data
- gramform — Grammar for string-to-function formulae
- greedypy — Fast deformable registration in python
- hcpre — Generalized launcher for human connectome project BOLD preprocessing
- hdi-utils — High-dimensional image data utilities
- herbs — A Python-based GUI for Histological E-data Registration in Brain Space
- heudiconv — Heuristic DICOM Converter
- hf-deepali — Image, point set, and surface registration library for PyTorch.
- highresnet — PyTorch implementation of HighRes3DNet
- hippunfold-toolbox — A toolbox for viewing, manipulating, and additional actions on HippUnfold outputs
- hipsta — A python package for hippocampal shape and thickness analysis
- Hive-MAIA — Python Package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet, nnDetection, MONAI).
- hiwenet — Histogram-weighted Networks for Feature Extraction and Advance Analysis in Neuroscience
- hmp — Package for fitting Hidden Multivariate pattern model to time-series
- horos-io — small package to deal with data exported from Horos
- hypast — Hypothalamus Automatic Segmentation Tool
- hypercoil — Differentiable programming for neuroimaging analysis
- hyve — Interactive and static 3D visualisation for functional brain mapping
- im2mesh — Python library to create Finite Element meshes from segmented image stacks
- imagedata — Read/write medical image data
- img-pipe — Image processing pipeline for localization and identification of electrodes for electrocorticography
- imio — Loading and saving of image data.