nih

Multi-platform, free open source software for visualization and image computing.

⚠ OBSOLETE | Multi-platform, free open source software for visualization and image computing.

Weakly Supervised Learning for Findings Detection in Medical Images

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Identifying diseases in chest X-rays using convolutional neural networks

Collection of cloud-based biomedical data science learning modules funded by the National Institute of General Medical Sciences at the NIH

Slicer extensions index

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

Documentation and tutorials on using GCP for biomedical research

Documentation and tutorials on using AWS for biomedical research

US Health and Human Services scientific funding visualizations

An R data package for NIH EXPORTER data

Latex templates for submitting the NIH F31 grant

A Markdown–Pandoc template for NIH grant proposals

Lung Extraction from Chest X-ray for Efficient Computing

Age-Related Macular Degeneration (AMD) Research using AREDS dataset provided by National Institute of Health (NIH).

R code to work with the NIH RePORTER API

A JSON/binary JSON extension to the NIfTI-1/2 formats

A Python interface for NIH Reporter APIs

Build a Reproducible Jupyter Workflow From Scratch (2017 NIH Hour of Code)