MONAI is a freely available, community-supported, open source PyTorch-based framework for deep learning in medical imaging. It provides domain-optimized foundational capabilities for developing medical imaging training workflows in a native PyTorch paradigm.

In collaboration with MICCAI Educational Initiative, we are excited to bring to the medical imaging researchers a pre-MICCAI 2020 event from September 30 to October 2 - the first ever ‘MONAI Bootcamp’ with training modules, an architectural deep dive and an open challenge. It is free to participate in this event and participants are provided with access to GPUs.


  • Experience in applying deep learning to medical imaging (entry, intermediate, advanced level researchers are encouraged to join).
  • Experience with PyTorch Programming is not a requirement but beneficial to participants.

NVIDIA  sponsors a GPU for the challenge winner.

MICCAI Endorsed Event



Day 1: September 30, 2020 (7:30 AM - 11:30 AM PST)

  • Welcome & Introduction
  • Connect to the Hackathon cluster 
  • Getting started with MONAI framework
    • MONAI 101 kick start 
      • MONAI technical overview presentation
      • Lab 1 - MONAI 101 workflow tutorial 
    • MONAI for PyTorch users 
      • MONAI PyTorch paradigm presentation 
      • Lab 2 - Bringing existing PyTorch implementations to MONAI 
    • Domain specialized transformation & persistent caching
      • How and why should researchers use domain optimized MONAI features  
      • Lab 3 - Power of developing best practices using MONAI 
    • Distributed training with MONAI 
      • Distributed training on multiple GPUs presentation
      • Lab 4 - Demonstration on multi-node setup and scalable performance
    • Virtual social hour & mixer

Day 2: October 1, 2020  ( 7:30 AM PST - 11:30 AM)

  • Build an  end to end workflow 
    • Learn MONAI technical architecture details 
  • MONAI instructor-led virtual exercise
  • Announce the Day 3 challenge 
  • Virtual social hour & mixer

Day 3: October 2 2020 

  • MONAI bootcamp Challenge Day with access to GPU resources

Join Project MONAI GitHub.

For more information, contact us through the Project MONAI Google Group.


Chinese Academy of Sciences          DKFZ German Cancer Research Center          Kings College London       


  Kitware          NVIDIA          MGH-BWH Center for Clinical Data Science


MICCAI          Stanford University          Technical University of Munich

Event Focus

Important Event Dates

  • MONAI Bootcamp Application Deadline
  • MONAI Bootcamp Day 1
  • MONAI Bootcamp Day 2
  • MONAI Bootcamp: Challenge Day
  • MONAI Bootcamp Winners Announced