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Feb. 28, 2025 - Feb. 28, 2027
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WORKSHOP Proposals due for MICCAI 2026
Thu, Jan. 15, 2026
We are soliciting proposals for workshops to be held in conjunction with MICCAI 2026. Workshops will take place on October 4 and 8, 2026 at the main conference venue. Workshops are intended to convene focused research groups, facilitating engaging discussions and knowledge exchange on specific topics relevant to the MICCAI community. They should attract diverse participants and maintain good attendance.
Details: https://conferences.miccai.org/2026/en/CALL-FOR-WORKSHOPS.html -
RISE-MICCAI Special Session: Reflections, Impact, and What’s Next!
Sat, Jan. 17, 2026
Join an online Special RISE-MICCAI Session, dedicated to sharing who we are, what we do, and where we are heading in 2026.
9:00 am (EST) / 3:00 pm (CET) / 10:00 pm (CST)
Register here:
https://us02web.zoom.us/webinar/register/WN_POHN_-rrTgidS1W4S6yVdw -
MSB Webinar - Panel Discussion on Writing Paper for a MICCAI Conference
Wed, Jan. 21, 2026
Are you curious about the secret behind high-rated MICCAI papers? Ever wondered why some papers consistently receive great reviews while others struggle? How can you transform your ideas and experiment results into a stronger submission?
Join us on Wednesday, January 21, 2026, for an interactive session featuring valuable insights into the MICCAI paper writing process, firsthand experiences from MICCAI Best Paper Award recipient and Outstanding Area Chairs.
This webinar is especially tailored for students and early-career researchers aiming for successful submissions to MICCAI 2026.
8:00 PM EST / 2:00 AM CET / 9:00 AM CST
Note: Depending on your time zone, this event may be taking place on January 22, 2026 -
RISE-MICCAI Journal Club
Sat, Jan. 24, 2026
Paper: Implicit neural representations for signal representation and medical image segmentation
Presenting author: Kushal Vyas, Rice University
Saturday, January 24, 2026 at 12:00 pm EST / 6:00 pm CET
Register: https://us02web.zoom.us/webinar/register/WN_gmAdP3MrSv-zRPOeTxIQdQ -
MICCAI 2026 Q&A with Prof. Guang Yang, Program Chair
Tue, Feb. 3, 2026
A RISE-MICCAI Special Session
Join the MICCAI-RISE Special Q&A Session for a unique opportunity to interact directly with the MICCAI 2026 Program Chair and gain firsthand insights into what to expect for the upcoming conference. This session is particularly aimed at students and early-career researchers seeking practical insights into MICCAI 2026 expectations and submission strategies.
Register: https://us02web.zoom.us/webinar/register/WN_3G_0xGmaTp-YigulePHzDQ -
MICCAI 2026 Abstract Registration deadline
Thu, Feb. 12, 2026
Information here:
https://conferences.miccai.org/2026/en/CALL-FOR-PAPERS.html -
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