MONAI Training

This training covers how to get started with machine learning in the medical field.

The first day will cover a broad overview of the state of the art of machine learning in the medical field. We will then see how to explore, analyse and process volume data manually using 3D Slicer.

The second day will be dedicated to the MONAI (Medical Open Network for AI) library with an in depth introduction to its features and hands on application on segmentation use case.

Finally, we will look at how to deploy MONAI based machine learning algorithms in existing software.

Slicer

Objectives

  1. Discover machine learning in the medical field
  2. Discover the tools to develop, visualize and integrate machine learning models in 3D data (MRI, CT)
  3. Practice semantic segmentation with the MONAI framework

Prerequisites

  • Python: basic knowledge
  • Machine learning: basic knowledge would be a plus
  • Image processing: basic knowledge would be a plus

Program

  • Day 1
    • Machine learning in the medical field
      • Machine learning applications
      • Public datasets and challenges
      • Adoption of machine learning challenges
    • 3D Slicer for data visualization and annotation
      • Visualization
      • Image Processing
      • Registration
      • Python plugin integration
  • Day 2
    • Gettings started with MONAI
    • MONAI Datasets and Caching
    • End-To-End Workflow with MONAI
    • Machine learning deployment and integration

This training course will be taught in English. Course notes are also in English.
Participants are asked to bring a laptop computer for this training session.
The instructor will communicate all the specifications required to each participants before the training session.

Kitware SAS is registered as a training center in France

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Practical Information

Duration: 2 days
Next training Date: October 12, 2023
Time zone: Paris (CET / GMT+1h)
Schedule: 9am to 5pm
Location: Online
Price: 1 500€

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Meet the instructor

Thibault Pelletier has integrated Kitware Europe in September 2019 as a Lead Developer in the Applicative Development team.

Thibault obtained a double MSc degree in engineering from the Art et Metier ParisTech school in France and Mechatronics system design from Lancaster University in the UK.

Afterwards, Thibault has worked for 9 years at ECA Robotics in the field of image processing, machine learning and autonomous underwater vehicle’s navigation algorithms.

At Kitware, Thibault has been working as an R&D engineer and Lead Developer on numerous Medical imaging projects based on 3D Slicer, ITK, RTK and MONAI.