MICCAI 2026 Tutorial

ImFusion SDK Tutorial
for accelerated medical
imaging research

Learn how to move faster from data and annotation to AI workflows, visualization, and real-time interaction in one research-ready software environment.

This half-day tutorial gives researchers a practical introduction to unified workflows for image analysis, intervention support, and translational prototyping.

Half-day tutorial Python + C++ Live demos Research-ready workflows

Highlights

  • Combine loading, visualization, annotation, and processing in one medical imaging workflow.
  • Prototype faster in Python and connect data pipelines to models more efficiently.
  • Extend workflows for real-time interaction, streaming, and other performance-critical tasks.
  • Suitable for both new ImFusion users and researchers already building more advanced workflows.
  • Attendees receive free academic license keys for Suite, Labels, and SDK.
  • Example projects and demo data will be available on GitHub so you can continue exploring the workflows after the session.

Schedule

From fundamentals to research use cases

8:30 - 9:15

Welcome and ImFusion SDK Fundamentals

Introduction to the ecosystem, core applications, visualization, annotation, and common processing workflows.

9:15 - 10:00

Rapid Prototyping in Python

Hands-on examples for working with images, volumes, visualization, and custom Python integrations.

10:00 - 10:30

From Datasets to Models

Learn how to manage data, connect training pipelines, and feed model outputs back into your workflow.

10:30 - 11:00

Pause

11:00 - 11:45

Real-Time Prototyping with C++

Work with streaming data, custom plugins, interactive views, and performance-critical extensions.

11:45 - 12:30

Research Use Cases and Q&A

Examples from practice, closing discussion, and questions from attendees.

Speakers

Organized by the ImFusion team

Portrait of Dr. Wolfgang Wein

Wolfgang Wein, PhD

CEO & Founder

Medical image computing expert and long-standing MICCAI contributor.

Portrait of Dr. Raphael Prevost

Raphael Prevost, PhD

Head of Machine Learning

Leads image analysis and AI-driven methods for medical imaging applications.

Portrait of Ilja Manakov

Ilja Manakov, PhD

Head of Python SDK

Focuses on practical Python workflows for research, training pipelines, and rapid experimentation.

Portrait of Dr. Maria Tirindelli

Maria Tirindelli, PhD

Senior Research Scientist

Brings deep expertise in real-time systems, ultrasound, robotics, and interactive prototyping.

Software Grant

You can't wait to get started?

Get familiar with the ImFusion ecosystem through our open resources, or apply for the software grant to start building your own academic or research project right away.

ImFusion rapid prototyping interface shown on a monitor with medical imaging views and workflow panels