Below, you will find a list with all publicly available MONAI on AWS resources.
- Build a medical imaging AI inference pipeline with MONAI Deploy on AWS - Nov '23: https://aws.amazon.com/blogs/machine-learning/build-a-medical-imaging-ai-inference-pipeline-with-monai-deploy-on-aws/
- AI-Assisted Annotation of Medical Images using MONAI Label on AWS - May '23: https://aws.amazon.com/blogs/industries/ai-assisted-annotation-of-medical-images-using-monai-label-on-aws/
- Share medical image research on Amazon SageMaker Studio Lab for free – Jan ’23: https://aws.amazon.com/blogs/machine-learning/share-medical-image-research-on-amazon-sagemaker-studio-lab-for-free/
- Privacy-Preserving Federated Learning on AWS with NVIDIA FLARE & MONAI - Nov '22: https://aws.amazon.com/blogs/apn/privacy-preserving-federated-learning-on-aws-with-nvidia-flare/
- Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 2 – July ‘22: https://aws.amazon.com/blogs/industries/scalable-medical-computer-vision-model-training-with-amazon-sagemaker-part-2/
- Scalable Medical Computer Vision Model Training with Amazon SageMaker Part 1 – July ‘22: https://aws.amazon.com/blogs/industries/scalable-medical-computer-vision-model-training-with-amazon-sagemaker-part-1/
- Annotate DICOM images and build an ML model using the MONAI framework on Amazon SageMaker – June ’21: https://aws.amazon.com/blogs/machine-learning/annotate-dicom-images-and-build-an-ml-model-using-the-monai-framework-on-amazon-sagemaker/
- Build a medical image analysis pipeline on Amazon SageMaker using the MONAI framework – Dec’ 20: https://aws.amazon.com/blogs/industries/build-a-medical-image-analysis-pipeline-on-amazon-sagemaker-using-the-monai-framework/
- Self-service or instructor-led workshop focused on running 1/ MONAI Label and 3D Slicer on Amazon AppStream and 2/ MONAI Core on SageMaker: https://catalog.us-east-1.prod.workshops.aws/workshops/ff6964ec-b880-45d4-bc1e-468b0c7fa854/en-US/
- NVIDIA FLARE on AWS for Federated Learning: https://catalog.workshops.aws/nvflareonaws/en-US
- MONAI on AWS Workshop (incl. AWS HealthImaging): https://github.com/aws-samples/monai-on-aws-workshop/tree/main
- End-to-end MONAI Core on SageMaker example using the HAM10000 dermatoscopy skin cancer image dataset: https://github.com/aws-samples/amazon-sagemaker-monai-examples
- 2D/3D classification & segmentation MONAI tutorials ported to SageMaker: https://github.com/aws-samples/amazon-sagemaker-medical-imaging-with-monai
- MONAI Deploy Express automated deployment on AWS: https://github.com/Project-MONAI/monai-deploy/tree/main/deploy/monai-deploy-express/platforms/AWS
- MONAI Bootcamp 2023 - MONAI Deploy on AWS - 38min: https://youtu.be/ALuHhMYuWFk
- MONAI Bootcamp 2023 - MONAI & FLARE on AWS - 48min : https://youtu.be/U8nOHPulZvQ
- MONAI Label Workshop - Project Week 38 - 1h:54min (with two use cases on AWS from Kantonspital Graubünden and the NSW Telestroke Team: https://www.youtube.com/watch?v=KtPE8m0LvcQ&t
- GTC 2022 - Accelerate Your Medical Imaging Research with MONAI on AWS – 40min: https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s42397/
- Medical Segmentation Decathlon: https://registry.opendata.aws/msd