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Nov. 1 - 30, 2025
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RISE-MICCAI Journal Club
Sat, Nov. 1, 2025
Paper: "Towards Generalizable Neural Representations for Medical Images and Videos"
Presenting author: Julia Wolleb, PhD, Postdoctoral Researcher in the Department of Biomedical Informatics and Data Science at Yale University.
Time: 12:00 noon EDT / 4:00 pm UTC
Register in advance:
https://us02web.zoom.us/webinar/register/WN_UqsidVTUSvCmBMEkLHRt7A -
RISE-MICCAI Journal Club: Agentic AI for radiology education
Sat, Nov. 15, 2025
Presenting Author: Akash Awasthi, University of Houston
Register: https://us02web.zoom.us/webinar/register/WN_ZbYrLoriQkygw6en-YBIAg -
RISE-MICCAI Winter School 2025
Nov. 18 - 19, 2025
Join us on November 18–19, 2025, for the RISE-MICCAI Winter School! Over these two days, you’ll dive into core topics such as Medical Vision in Radiology and Foundational Models & Computational Biology. The program is packed with hands-on tutorials, technical lectures, invited talks, interactive Q&A sessions, and networking opportunities—all designed to enhance your research toolkit and connect you with peers worldwide.
Registration: https://mbzuai-ac-ae.zoom.us/webinar/register/WN_nYEsjOPBQWKyGIL6HGcuAQ#/registration -
SIPAIM 2025 (MICCAI-Endorsed Event)
Nov. 19 - 21, 2025
21st International Symposium on Medical Information Processing and Analysis
Pasto, Columbia
Submission deadline: July 10
https://www.sipaim.org/ -
SIG-FAIMI 2025 Online Workshop
Tue, Nov. 25, 2025
The MICCAI Special Interest Group on Fairness of AI in Medical Imaging (SIG-FAIMI) invites you to a thought-provoking online workshop exploring the intersection of AI, ethics, and equity in medical imaging.
Keynote: Dr. Leo Anthony Celi (MIT, MIMIC Project)
14:00 - 17:00 GMT
Info here:
https://miccai.org/index.php/news/2025/11/07/sig-faimi-2025-online-workshop-nov-25th -
MICCAI Industrial Talk: Real-World Lessons from Deploying AI for Population-Scale Chest X-Ray Screening
Wed, Nov. 26, 2025
8:00 –9:00 AM (EST) / 2:00 - 3:00 PM (CET) / 9:00 pm - 10:00 pm (CST)
Speaker: Dr. Ronnie Rajan, Vice President of AI & Applied Sciences at M42
This talk will outline M42’s AIRIS-TB screening tool's development, calibration to achieve near-zero TB false-negative rates, and integration across screening centers.
Register: https://us02web.zoom.us/webinar/register/WN_e_AZuTfcSY63HdHbiArcZA