All tutorials can be run online on Google Colab, without the need to install any packages locally.

Getting Started tutorial. It includes training and inference of a model for brain segmentation using a 3D U-Net.

This tutorial will teach everything about transforms, and how to use them for preprocessing and augmentation.

This is an example of using a pre-trained PyTorch model (HighRes3DNet) and TorchIO to perform a full brain parcellation from a T1-weighted MRI.

In this tutorial, we demonstrate how these three libraries from the official PyTorch Ecosystem can be used together to segment the hippocampus on brain MRIs from the Medical Segmentation Decathlon.