Video
Tutorials in video format, no longer than 20 minutes.
AI/CORE Unranked
MICCAI MEC 2026
Thirteenth MICCAI Educational Challenge
The MICCAI Educational Challenge (MEC) 2026 is an initiative by the MICCAI Student Board to build a community-driven library of educational materials in medical image computing and computer-assisted interventions. It encourages submissions that go beyond generic overviews, focusing instead on first-hand experiences, runnable code on real medical data, clinical perspectives, and insights into implementation challenges that AI tools cannot easily replicate.
Key deadlines
Verified September 9, 2026Full paper
July 31, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
July 31, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Blog Post
Blog-style submissions, preferably published via the MICCAI Educational Initiative on Medium.
Scientific Paper
Tutorial papers with a maximum of 4000 words (excluding references).
IPython Notebook
Interactive Jupyter notebooks with runnable code on real medical data.
Powerpoint
Slide presentations limited to 40 slides.
GitHub Source Code and Documentation
Code repositories with documentation, pinned dependencies, and clean environments.
Interactive Demos and Websites
Web-based interactive tutorials or demonstrations.
Research areas in scope
01
Suggested Topics
Deploying an imaging model into a real clinical environmentReproducing a method as a learning exerciseWalking through the implementation and interpretation of methods from papersWorking with foundation models or vision-language models on medical dataAnnotation workflows pairing AI tools with cliniciansFederated learning across sites with data harmonizationCalibration, uncertainty, and bias for modern models in clinical settingsRegulatory pathways for imaging AI (FDA, EU AI Act)Reproducibility infrastructure (environments, data versioning, seeds)Using AI assistants effectively as a researcherAI in the operating room (surgical videos, intraoperative guidance, autonomous systems)SegmentationStatistical analysis of medical imagesComputer-assisted interventionOptical/histology applicationsRegistrationAtlasesComputational anatomyMachine learningDeep learningInferenceComputerized diagnosisSurgical navigationSurgical planningMedical simulationMedical roboticsVisualizationSoftware
Policies worth checking twice
- Submissions must be in English.
- Text submissions must not exceed 4000 words (excluding references).
- Slide presentations must not exceed 40 slides.
- Videos must not exceed 20 minutes.
- Previously published tutorial papers from past MICCAI conferences are not eligible.
- AI tools may be used for drafting or editing, but their use must be clearly disclosed.
- Submissions must not be primarily AI-generated; substantive value must originate from the author(s).
- Submissions must include first-hand experience, runnable code, clinical perspectives, or similar non-AI-reproducible content to be competitive.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteprevious MEC submissionsBasics of Image Registration.Volume and Surface Rendering of 3D Medical Datasets in Unity.Semi-automated pipeline for neuroimaging PET/MR visualization and quantificationA Practical Guide to Statistical Shape Models Featuring Hands-on Examples in CON
Last verified September 9, 2026