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Oct. 4, 2024 - Oct. 4, 2026
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Deadline - Call for Reviewers for MICCAI 2026
Thu, Feb. 12, 2026
Are you an expert researcher who has participated in a past #MICCAI conference? Are you a student who is a first-author of a paper published in a MICCAI or industry-related journal?
We invite you to be an expert reviewer for MICCAI 2026.
Learn more about what's involved here:
https://conferences.miccai.org/2026/en/CALL-FOR-REVIEWERS.html -
Deadline: MICCAI Student Board applications
Sat, Feb. 14, 2026
The MICCAI Student Board is looking for new members to join our team and help advance medical imaging education and research worldwide.
Learn more: https://miccai-sb.github.io/apply
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MICCAI Mentorship Program Application deadline
Sun, Feb. 15, 2026
The MICCAI Society Mentorship Program can help you develop your career with access to a mentor who will discuss your needs with you. Mentors are selected based on diversity in scientific expertise, academia/ industry/ government/ entrepreneurship background, and areas of interest.
Application: https://www.surveymonkey.com/r/RL3FLH8 -
RISE-MICCAI Journal Club
Sat, Feb. 21, 2026
Paper: Graph-Based and Interpretable Artificial Intelligence for Neurological Disorder Analysis from Brain Signals and Imaging. From Causality to low-resource settings.
Author: Alessandro Crimi, AGH University of Krakow
Register: https://us02web.zoom.us/webinar/register/WN_X3-mFR3rTtagIYP-HKGN1g -
MICCAI 2026 Paper Submission deadline
Thu, Feb. 26, 2026
https://conferences.miccai.org/2026/en/CALL-FOR-PAPERS.html -
RISE-MICCAI Tutorial: An Introduction to torchmil
Tue, Mar. 3, 2026
Topic: Multiple Instance Learning for Histopathology: An Introduction to torchmil
Presenter: Francisco M. Castro-Macías, Creator and Lead-developer of torchmil
Register here:
https://us02web.zoom.us/webinar/register/WN_yRKfDwRZSdqvZBJjJopsgA#/registration -
Pixel Pandemonium at ECR 2026 (MICCAI-Endorsed event) - Calls due Dec 5, 2025
Mar. 4 - 8, 2026
https://www.eibir.org/pixelpandemonium/ -
Women in MICCAI Mentorship Session
Mar. 24 - 25, 2026
This event will bring together experienced researchers and professionals to lead discussions on topics relevant to women working in AI for medical imaging. The exact schedule and lead speakers for each session will be announced soon.
Register: https://docs.google.com/forms/d/e/1FAIpQLSdW8xRMd_ZuzoXaSimzLo59TqHLT2LLThxpeV3QWoNXp_CNMw/viewform -
RISE-MICCAI Tutorial: Multi-Modal Explainability (XAI) for Medical Imaging with Captum
Tue, Mar. 31, 2026
Title: Workshop: Multi-Modal Explainability (XAI) for Medical Imaging with Captum
Presenter: Rachid Zeghlache, AI Researcher
Register here: https://us02web.zoom.us/webinar/register/WN_EvYtAcyFT4OmXWDaWrFwnQ
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RISE-MICCAI Tutorial - Brain Tumor Segmentation with U-Net Using the BraTS Dataset: A Beginner’s Tutorial
Fri, Apr. 10, 2026
Presenter: Yasar Mehmood, Information Technology University of the Punjab, Lahore, Pakistan
10:00 am EDT / 4:00 pm CET
This tutorial provides a beginner-friendly, hands-on introduction to brain tumor segmentation using deep learning. The session concludes with a discussion of practical challenges, limitations, and resources for further learning in medical image segmentation.
Register: https://us02web.zoom.us/webinar/register/WN_VXQ2NE2jRMGN8X94iCH1gQ