MONAI Label is an intelligent open source image labeling and learning tool.

3D Slicer Plugin for Segment anything in medical images

dcmqi (DICOM for Quantitative Imaging) is a C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

Extension for 3D Slicer that allows the application to be used from Jupyter notebook

3D Slicer extension for cardiac analysis

Open-source toolkit for radiation therapy research, an extension of 3D Slicer. Features include DICOM-RT import/export, dose volume histogram, dose accumulation, external beam planning (TPS), structure comparison and morphology, isodose line/surface generation, etc.

3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.

A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS

A Slicer extension that enables user to interact with a Slicer scene using virtual reality.

A 3D Slicer extension for efficient segmentation with nnInteractive.

Extension to import microCT data and conduct 3D morphometrics in Slicer

Modules supporting image-guided interventions in 3D Slicer.

This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.

Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.

Slicer extensions index

This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill in collaboration with the University of Michigan in Ann Arbor.

3D Slicer extension for Segment Anything Model (SAM) developed by Meta

An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.

This extension makes available Elastix medical image registration toolkit (http://elastix.isi.uu.nl/) available in Slicer.

3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.