๐ฏ Submit to #MICCAI Workshop CAPI!
๐ Full papers (LNCS) & abstracts
๐ต๐ปโโ๏ธ Double-blind review
๐ฌ Deadline: 25 June
capi-workshop.org
@FAU @ChariteBerlin
#miccai2025
#ReproductiveHealth #WomensHealth #PelvicHealth #Endometriosis #Adenomyosis #PCOS #Fibroids #CervicalCancer
#MinimallyInvasiveSurgery #PelvicImaging #AIforHealth #AIforHealthcare #fairnessinai
๐ฅAnnouncing the Fairness of AI in Medical Imaging (FAIMI) YouTube channel! ๐ฅ
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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๐ Our newest Fairness of AI in Medical Imaging (FAIMI) newsletter is out! ๐
Check your email inbox, or read online: https://tinyurl.com/muuwy2ah
๐Some highlights: ๐
* 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!
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. ๐
Meet our activity committee: Nina Weng, Tiarna Lee, Tareen Dawood, Dewinda Rumala, and Emma Stanley. They'll help run future FAIMI events. ๐
To stay updated on all FAIMI activities, join 400 others and sign up for our newsletter. ๐ฌ https://faimi-workshop.github.io/newsletter/
#FAIMI #FAIMI2024 #MICCAI #MedicalImaging #AI
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๐ข Our workshop program is online now!
An exact schedule with time slots will follow in the next few days. Looking forward to see you at #MICCAI in October!
More info here:
https://dgm4miccai.github.io/#oral_sessions_l
#MICCAI 2023 decisions are out!
If your paper was rejected, you can resubmit to our workshop. We appreciate contributions in the field of generative models for MIC / CAI and our reviewers will support you with constructive criticism to improve the quality of your manuscripts.
Find our call for papers here:
https://dgm4miccai.github.io
We are delighted to announce the #MICCAI Learn2Learn challenge! ๐
Download and explore our dataset of 28 unique tasks derived from 17 medical image datasets & create algorithms that learn new tasks with minimal annotated examples!
All information here: http://l2l-challenge.org
Johanna P Mueller
AlexCrimi
Veronika Cheplygina
DGM4MICCAI workshop 2023
Christian Baumgartner
Antonio Foncubierta