Tutorials on MONAI

This repository contains a collection of tutorials on MONAI (Medical Open Network for Artificial Intelligence), demonstrating how to use this powerful framework for deep learning in medical imaging.

Each tutorial includes a Google Colab notebook with detailed explanations, code examples, and hands-on exercises that help you practice the topics covered.

"MONAI" stands for Medical Open Network for Artificial Intelligence

MONAI consists of three frameworks:

• MONAI Label: seamlessly integrates into label generation workflow
• MONAI Core: enables clinicians and researchers to build AI models to work on Medical Imaging data
• MONAI Deploy: facilitates easy transition of Python programs into a deployable application

These Colab notebooks will introduce you to the MONAI Core's design and architecture.

Tutorials

MONAI Data & Transforms

This Colab notebook delves into MONAI's data variable and transforms.

MONAI Model Zoo

This Colab notebook illustrates MONAI's Model Zoo in simple classification and segmentation tasks.

MONAI Datasets

This Colab notebook presents different commands useful to retrieve data from open-source venues like: TCIA, decathlon, mednist, medmnist.

MONAI Networks, Loss Functions, & DataLoader

This Colab notebook presents an introduction to a model, MONAI's network architectures, loss functions, and dataloaders.

MONAI Demo Complete

This Colab notebook provides materials for the MONAI tutorial given to the DS-261 course in November 2024 at the Computational and Data Sciences, Indian Institute of Science.

MONAI MEDMNIST Classification

This Colab notebook delves into utilizing all the MONAI tools to develop a classification model for the MEDMNIST Pneumonia dataset.

MONAI ICH Classification

This Colab notebook leverages all the tools learned from previous Colab notebooks to develop a classification model for the ICH Classification dataset. This data used here is part of the RSNA Challenge on ICH Classification.

About

These Colab notebooks were developed during my post-doctoral tenure at the Medical Imaging Group with Prof. Phaneendra Yalavarthy, Professor of Medical Imaging, Computational Data Sciences, Indian Institute of Science.

The notebooks are a part of the course Artificial Intelligence in Healthcare: Theory to Practice, which is part of the curriculum jointly offered by Aster Health Academy and Indian Institute of Science.