This is the official repo of FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching.
Blur Labs foundation models for imaging
Python Imaging Library (fork)
Node-based Visual Programming Toolbox
AI Toolkit for Healthcare Imaging
Imaging, analysis, and simulation software for radio interferometry
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Multi-platform, free open source software for visualization and image computing.
Medical imaging processing for AI applications.
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution β An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
DICOM Web Viewer: open source zero footprint medical image library.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Advanced Normalization Tools (ANTs)
QuPath - Open-source bioimage analysis for research
Machine learning for NeuroImaging in Python
Weasis is a web-based DICOM viewer for advanced medical imaging and seamless PACS integration.
Deep learning software to decode EEG, ECG or MEG signals
MICCAI 2019-2026 Open Source Papers
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
The MATLAB toolbox for MEG, EEG and iEEG analysis
A set of common support code for medical imaging, surgical navigation, and related purposes.
tracking medical datasets, with a focus on medical imaging
MONAI Label is an intelligent open source image labeling and learning tool.
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
Neuroimaging analysis and visualization suite
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning,Β statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy includingΒ diffusion, perfusion and structural imaging.
The Medical Imaging Interaction Toolkit.
Workflows and interfaces for neuroimaging packages
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
3D medical imaging reconstruction software
Python package to access a cacophony of neuro-imaging file formats
Tools to automate the creation of a Windows image for OpenStack, supporting KVM, Hyper-V, ESXi and more.
Histology Spatial Topology for Omics Profiling and Inter-section Alignment
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Differentiable optical lens simulator for end-to-end computational imaging.
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
MagicScaler high-performance, high-quality image processing pipeline for .NET
DSL and compiler framework for automated finite-differences and stencil computation
Read and write TIFF files.
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.
Pycortex is a python-based toolkit for surface visualization of fMRI data
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Acoustic testing and source mapping software
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Rust implementation of the DICOM standard
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
A framework for high-performance medical image processing, neural network inference and visualization
C library for reading virtual slide images
OSS Implementation of DICOMweb standard
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
FleXray: Universal Clinical X-ray Segmentation
Spatial biology processing suite
Low-memory, zero-dependency image codecs and processing in pure TypeScript for Node.js, browsers, and serverless runtimes. Bounded decode/resize pipelines plus deep TIFF, scientific raster, GeoTIFF, OME-TIFF, and whole-slide support.
MRI research guidance for coding agents β composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder