MICCAI Society

MICCAI Society

学术研究

Rochester,Minnesota 4,279 位关注者

MICCAI 2024, Marrakesh Morocco, Oct. 6-10, 2024

关于我们

The Medical Image Computing and Computer Assisted Intervention Society is a non-profit corporation whose goals and focus are multi-disciplinary in nature and bring together scientists, engineers, physicians, surgeons, educators and students who contribute to and participate in the mission and activities of the MICCAI Society.

网站
https://miccai.org
所属行业
学术研究
规模
2-10 人
总部
Rochester,Minnesota
类型
非营利机构
创立
2004
领域
medical image computing、machine learning、computer assisted intervention、artificial intelligence、deep learning、international conference、healthcare和surgery

地点

  • 主要

    206 S BROADWAY STE 505

    US,Minnesota,Rochester,55904

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MICCAI Society员工

动态

  • 查看MICCAI Society的公司主页,图片

    4,279 位关注者

    ?? MICCAI Society MEMBERS are invited to vote in this year's #MICCAI Society Board election. The election will be held on the MICCAI WildApricot system in order to authenticate members in good standing. Members were sent an email communication on November 25. If you are a member who did not receive this notification, please check all your inbox folders, including your spam folder. Please ensure that emails from [email protected]?are not being blocked by your mail server. ?? Election closes on December 16, 2024 More information is also on our website: ?? https://lnkd.in/gA5M8vK9

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    4,279 位关注者

    The #MICCAI Special Interest Group on Fairness of AI in Medical Imaging (SIG-FAIMI) is holding a free, online FAIMI Symposium. This is the third annual event that features keynote speakers and invited talks from some of the best fairness papers of the year. This year, we are delighted to welcome Roxana Daneshjou as the keynote speaker. There will also be a selection of invited talks and a panel discussion. Here are the symposium details - registration is open. ??? December 4, 2024 ? 14:00 - 17:00 GMT Program details: ?? https://lnkd.in/gQj_4zNE Registration form: ??https://lnkd.in/gPstGp-K Esther Puyol Antón #MICCAI #AI #FAIMI

    Fairness of AI in Medical Imaging

    Fairness of AI in Medical Imaging

    faimi-workshop.github.io

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    4,279 位关注者

    Don't miss the opportunity to apply for one of the open positions on the #MICCAI Student Board. Applications accepted until Nov 28 (midnight AoE) Harry A.

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    4,279 位关注者

    ?? Join the 2025 MICCAI Student Board! Applications are open for: ? Doctoral Programs Officer ? Scientific Programs Officer ? Public Relations Officer (x2) ? Social Events Officer (x2) ? Executive & Financial Officer ? Local Student Liason Officer Find out more at: ?? https://lnkd.in/erMXbBRj To apply, email [email protected]: ? A CV ? Your preferred position ? Answers to our questions found at: https://lnkd.in/erMXbBRj ? Deadline: 28 Nov, midnight AoE timezone

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  • 查看MICCAI Society的公司主页,图片

    4,279 位关注者

    We're looking forward to the next #MICCAI Industrial Talk coming up on November 25. There's still time to register here: ?? https://lnkd.in/gvqrUySx

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    4,279 位关注者

    ?? Join the next MICCAI Industrial Talk: Open-source Foundation Models for 3D Medical Image Segmentation and Generation Speakers: Dr. Yufan He and Dr. Can Zhao, NVIDIA ??? Monday, November 25, 2024 ? Time: 10:30-11:30 am EST / 4:30 - 5:30 pm CET Registration (required) is free and open to all: ?? https://lnkd.in/gzmAt6cG

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  • 查看MICCAI Society的公司主页,图片

    4,279 位关注者

    ?? Women in MICCAI (WiM) is happy to announce the second invited talk in the WiM "Health Equity in the AI Era" Webinar Series 2024 ?? Building Trustworthiness through Robustness ??♀? Speaker: Dr. Maria A. Zuluaga, EURECOM, King's College London ?? Monday, December 9, 2024 ?? 4:00 - 5:00 PM UTC / 8:00 - 9:00 AM PST / 11:00 AM – 12:00 PM EST ?? Registration link: https://lnkd.in/gHJUQ6Cz ??? Trustworthiness is paramount in the development and deployment of AI systems. A critical aspect of achieving trustworthy AI lies in its robustness—the ability of a model to maintain performance under varying conditions. This talk will delve into the importance of robustness in ensuring trustworthy AI, with a particular focus on two key areas: distribution shifts and input data variations. Distribution shifts, a common and well-studied challenge in AI, occur when the distribution of test data drifts from that of training. We will discuss techniques to enhance model robustness against such shifts, when dealing with multi-center, multi-modal and multi-organ datasets. Additionally, we will explore the less-studied area of input data variations, such as missing values or modalities. While the standard approach is to impute the missing data, we argue this may be problematic in certain scenarios that we will discuss. Then, we will present our research on developing robust models that can effectively handle missing data without imputation, leading to more reliable, resilient and, overall, more trustworthy AI systems. We will illustrate our work in different medical imaging applications.

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  • 查看MICCAI Society的公司主页,图片

    4,279 位关注者

    ?? Join the 2025 MICCAI Student Board! Applications are open for: ? Doctoral Programs Officer ? Scientific Programs Officer ? Public Relations Officer (x2) ? Social Events Officer (x2) ? Executive & Financial Officer ? Local Student Liason Officer Find out more at: ?? https://lnkd.in/erMXbBRj To apply, email [email protected]: ? A CV ? Your preferred position ? Answers to our questions found at: https://lnkd.in/erMXbBRj ? Deadline: 28 Nov, midnight AoE timezone

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  • MICCAI Society转发了

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    Reverse Engineering the Doctor's Mind | Dynamic Learning | Host "AI-ready Healthcare" | PI of MEC-Lab at TU Darmstadt

    ???"AI-ready Healthcare" podcast is back ?? The 12th season?? kicks off with the brilliant Michael Levin talking about Collective and Diverse intelligence as an alternative approach for Medical AI. Check out the episode in Spotify, Apple Podcast or right here: https://lnkd.in/eVBRRemZ A big thank you to all the listeners for the continuous support. It's a massive honor to have a guest who recently featured in Lex Fridman's podcast.

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    4,279 位关注者

    ?? Join the Women in MICCAI (WiM) Virtual Community on Slack! ?? We’re thrilled to announce an exciting new way to stay connected with fellow women researchers: the?Women in MICCAI virtual community on Slack! Let’s keep the conversation and networking going! Join us here:?https://lnkd.in/gxjeNEhm This virtual community is your space to connect with other women in the MICCAI community, share opportunities, and stay updated on job postings, calls for papers, WiM upcoming events and get togethers. Feel free to invite your colleagues and help us grow this vibrant network! Looking forward to seeing you online and continuing to support each other’s journeys in the MICCAI community! Warmly, Women in MICCAI (WiM) Board

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