starfish
starfish: scalable pipelines for image-based transcriptomics - Published in JOSS (2021)
vitessce
Vitessce is a visual integration tool for exploration of spatial single-cell experiments.
itk-wasm
High performance spatial analysis in a web browser and across programming languages and hardware architectures
multiscale_spatial_image
Generate a multiscale, chunked, multi-dimensional spatial image data structure that can serialized to OME-NGFF.
itkwidgets
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
https://github.com/pycroscopy/atomai
Deep and Machine Learning for Microscopy
https://github.com/pycroscopy/pycroscopy
Scientific analysis of nanoscale materials imaging data
molkart
A pipeline for processing Molecular Cartography data from Resolve Bioscience (combinatorial FISH)
hdr_toolbox
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
https://github.com/fhooeaist/imaging
One Framework to rule them all, One Framework to find them, One Framework to bring them all and in the darkness bind them. - The ring's inscription, translated, adapted.
https://github.com/broadinstitute/genepy
Genepy is an open source utils package covering a range of useful functions for large scale genomics data analysis in python
https://github.com/afm-spm/jupyterlite-topostats
Run TopoStats Notebooks directly in your browser.
coldcuts
coldcuts is an R package to automatically generate and plot segmentation drawings in R
QUPS
QUPS: A MATLAB Toolbox for Rapid Prototyping of Ultrasound Beamforming and Imaging Techniques - Published in JOSS (2024)
https://github.com/codingfisch/mriaug
Augment 3D images (e.g. MRIs) in PyTorch 🔥
ct-body-composition
An artificial intelligence model for body composition analysis in CT scans
https://github.com/codingfisch/niftiview-app
Standalone app for viewing volumetric images 🧠 based on Python
ganx
The GitHub repository for the Python package ganX - generate artificially new XRF
https://github.com/codingfisch/niftiai
Train neural nets on 3D images (e.g. MRIs) 🧠
kaapana
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
https://github.com/adalca/medical-datasets
tracking medical datasets, with a focus on medical imaging