mrivismedical image visualization library and development toolkit
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DipyDIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
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clinicaSoftware platform for clinical neuroimaging studies
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brainGraphGraph theory analysis of brain MRI data
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SlicergitsvnarchiveMulti-platform, free open source software for visualization and image computing.
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SlicerMulti-platform, free open source software for visualization and image computing.
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Dcm2BidsReorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
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Unsupervisedrr[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
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neurdicomRESTful PACS server with plugins
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NeuroCore.jlCore methods and structures for neuroscience research in Julia.
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BrainiakBrain Imaging Analysis Kit
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FAIR.mFlexible Algorithms for Image Registration
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PHATPathogen-Host Analysis Tool - A modern Next-Generation Sequencing (NGS) analysis platform
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Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
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DltkDeep Learning Toolkit for Medical Image Analysis
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Amap PythonAutomated mouse atlas propagation
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dmipyThe open source toolbox for reproducible diffusion MRI-based microstructure estimation
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Mne CppMNE-CPP: A Framework for Electrophysiology
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bg-atlasapiA lightweight python module to interact with atlases for systems neuroscience
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cacaoCallable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
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brainregAutomated 3D brain registration with support for multiple species and atlases.
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nidbNeuroInformatics Database
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MRQyMRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.
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brainlitMethod container for computational neuroscience on brains.
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giftiMATLAB/Octave GIfTI Library
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astroalignA tool to align astronomical images based on asterism matching
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DARTSCode for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
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nanoseqNanopore demultiplexing, QC and alignment pipeline
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mne-bidsMNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
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fmriflowsfmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.
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LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
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FieldtripThe MATLAB toolbox for MEG, EEG and iEEG analysis
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Dcm2niixdcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
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nobrainerA framework for developing neural network models for 3D image processing.
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cellfinderAutomated 3D cell detection and registration of whole-brain images
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mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
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Mne PythonMNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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clinicadlFramework for the reproducible processing of neuroimaging data with deep learning methods
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staginSTAGIN: Spatio-Temporal Attention Graph Isomorphism Network
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MIRACLMulti-modal Image Registration And Connectivity anaLysis
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is-04AMWA IS-04 NMOS Discovery and Registration Specification (Stable)
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DigitalCellSorterDigital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:
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PETPVCPartial Volume Correction in PET
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LocARNAAlignment of RNAs
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radnetU-Net for biomedical image segmentation
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LibAUCAn End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
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mp2p icpMulti primitive-to-primitive (MP2P) ICP algorithms in C++
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LabHacksResources for data driven neuroscientists.
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pblatparallelized blat with multi-threads support
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NanoRNanopore data analysis in R
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figpatchEasily Arrange Images with Patchwork Alongside ggplot2 Figures.
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CMLFast, safe and easy to use Cortex-M HAL Library, written in C++ 17
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