8:30 - 9:15
Welcome and ImFusion SDK Fundamentals
Introduction to the ecosystem, core applications, visualization, annotation, and common processing workflows.
MICCAI 2026 Tutorial
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.
Highlights
Schedule
8:30 - 9:15
Introduction to the ecosystem, core applications, visualization, annotation, and common processing workflows.
9:15 - 10:00
Hands-on examples for working with images, volumes, visualization, and custom Python integrations.
10:00 - 10:30
Learn how to manage data, connect training pipelines, and feed model outputs back into your workflow.
10:30 - 11:00
11:00 - 11:45
Work with streaming data, custom plugins, interactive views, and performance-critical extensions.
11:45 - 12:30
Examples from practice, closing discussion, and questions from attendees.
Speakers
CEO & Founder
Medical image computing expert and long-standing MICCAI contributor.
Head of Machine Learning
Leads image analysis and AI-driven methods for medical imaging applications.
Head of Python SDK
Focuses on practical Python workflows for research, training pipelines, and rapid experimentation.
Senior Research Scientist
Brings deep expertise in real-time systems, ultrasound, robotics, and interactive prototyping.
Software Grant
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.