📅 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
2/3

🚨 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