🗣️Final shout out for MICCAI workshop 🗣️

You still have time (abstracts are not mandatory!) to submit your work to the FAIMI Workshop at MICCAI 2025 focused on fairness, bias, and equity in AI for medical imaging.

Whether you’re researching fair algorithms, bias mitigation, or ethical AI in healthcare, this workshop is the perfect platform to showcase your innovation and connect with global experts.

👉 https://faimi-workshop.github.io/2025-miccai-workshop/

#FAIMI #MICCAI2025 #MedicalImaging #FairAI #HealthcareAI #AIethics

🚨MICCAI workshop 🚨

Don’t miss the chance to submit your work to the FAIMI Workshop at MICCAI 2025—a key event focused on fairness, bias, and equity in AI for medical imaging.

Whether you’re researching fair algorithms, bias mitigation, or ethical AI in healthcare, this workshop is the perfect platform to showcase your work and connect.

Check out the important dates and submission details here 👉 https://faimi-workshop.github.io/2025-miccai-workshop/

#FAIMI #MICCAI2025 #MedicalImaging #FairAI #HealthcareAI #AIethics

Also, check out FAIMI Online Symposium videos on YouTube 🎥: https://www.youtube.com/@FAI-MI

We have also applied for a satellite event and therefore hope to connect with you at MICCAI 2025 in South Korea! 🇰🇷

#MachineLearning #MedicalImaging #AIethics #FairAI #FAIMI #MELBA

🎥Announcing the Fairness of AI in Medical Imaging (FAIMI) YouTube channel! 🎥

We are happy to share our YouTube channel (https://www.youtube.com/@FAI-MI) which now contains videos and playlists from multiple FAIMI events. Thanks to Dewinda Julianensi Rumala and Emma Stanley who did an amazing job setting everything up, including designing a brand new logo for FAIMI!

#AI #MedicalImaging #Fairness #FAIMI #MICCAI

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🚀 Our newest Fairness of AI in Medical Imaging (FAIMI) newsletter is out! 🚀

Check your email inbox, or read online: https://tinyurl.com/muuwy2ah

🌟Some highlights: 🌟

* Our MICCAI workshop on October 10th will feature Dr. Mercy Asiedu (research scientist at Google Research) who will talk about fairness for health in Africa, as well as 5 contributed oral presentations and 17 posters.
* Our online workshop will be held on December 4th, save the date!

1/2 #Fairness #MedicalImaging #MICCAI #FAIMI

To support these events, FAIMI is expanding! We've formed an advisory panel with experts like Judy, Kanwal, Sanmi, Tal Arbel, Bishesh Khanal, Ira Ktena, and Karim Lekadir. 🚀

Meet our activity committee: Nina Weng, Tiarna Lee, Tareen Dawood, Dewinda Rumala, and Emma Stanley. They'll help run future FAIMI events. 🙌

To stay updated on all FAIMI activities, join 400 others and sign up for our newsletter. 📬 https://faimi-workshop.github.io/newsletter/

#FAIMI #FAIMI2024 #MICCAI #MedicalImaging #AI

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The schedule for our #FAIMI online workshop is now complete!

If you have not registered yet you can sign up via our website: https://faimi-workshop.github.io/2023-online/

The Zoom link will be distributed to all those registered either tomorrow (Friday) or shortly before the workshop start if you register later

#Fairness #MedicalImaging

Organized by Aasa Feragen, @AtoAndyKing, @benglocker, Daniel Moyer, @eferrante, @ipet, Esther Puyol, @melanieganzben1, @DrVeronikaCH

If you have any questions please reach out to us via faimi-organizers@googlegroups.com!

#MedicalImaging #FAIMI

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Invited talks by

* Frederik Pahde (Fraunhofer Heinrich-Hertz-Institute)

* Yun-Yang Huang (National Tsing Hua U)

* Eran Tal (McGill)

* Charlie Jones (Imperial)

* Emma Stanley (U Calgary)

#MedicalImaging #FAIMI

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Interested in #bias and #fairness in #MedicalImaging, but could not make it to the #MICCAI2023 #FAIMI workshop? Worry not, in 3 weeks time we have a free virtual workshop on these topics! Keynotes by Sanmi Koyejo, Sara Gerke and Kanwal Bhatia

⏰ When: Mon, Nov 6, 2023, 13:00 UTC
✅ Registration and program: https://faimi-workshop.github.io/2023-online/

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📅 Don't forget papers for the #FAIMI fairness in medical imaging #MICCAI2023 workshop are due

*July 21 2023*

Accepted papers will be published in Springer LNCS proceedings, see our website for more details

https://faimi-workshop.github.io/2023-miccai/

#MachineLearning #MedicalImaging #Fairness

🎙️👏We are pleased to announce that 👩‍💻 Dr. Judy Gichoya
will be the keynote speaker 🔥 at our #FAIMI: Fairness of AI in Medical Imaging workshop at #MICCAI2023!

👉Check out: https://faimi-workshop.github.io/2023-miccai/

#FAIMI is a series of workshops, incl. virtual ones! Selected papers from the #MICCAI2023 workshop will be presented at our virtual one on Nov 6, 2023.

Organized by Aasa Feragen, @AtoAndyKing, @benglocker, Daniel Moyer, @eferrante, @ipet, Esther Puyol, @melanieganzben1, @DrVeronikaCH
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🚨 Are you interested in the Fairness of Artificial Intelligence for Medical Imaging? Don't miss our next #FAIMI workshop at #MICCAI2023!

⏰Papers due: Jul 21, 2023
📅Workshop: Oct 8, 2023
📍Where: Vancouver 🇨🇦

Check out: https://faimi-workshop.github.io/2023-miccai/

#MedicalImaging #Fairness #MachineLearning 1/3

P.S. I discovered this paper because it was mentioned by one of the speakers at the recent #FAIMI event on #fairness of #AI in #medicalimaging - so if you are interested in this research area let me remind you that all FAIMI talks are now available on YouTube:

https://www.youtube.com/playlist?list=PLgwux8eqIFKdWYJTgeoCU4vZ0s6GZtc6e