Next week, I'll be presenting "Copycats: the many lives of a publicly available medical imaging dataset" at the Danish Digitalization, Data Science and A1 2.0 (D3A) Conference in Nyborg ๐ฉ๐ฐ
Come and chat with us (@DrVeronikaCH) at poster P24 ๐ https://d3aconference.dk/poster-session-d3a-2-0/
๐ https://arxiv.org/abs/2402.06353
https://social.itu.dk/@amelia/113204106912407336
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๐โโฌ Copycats has been accepted at #NeurIPS2024 D&B Track! ๐๐
TL; DR: We aim to promote better data governance in the context of medical imaging datasets and uphold the reliability and fairness of AI in healthcare.
๐ https://arxiv.org/abs/2402.06353
[#]MakingMetadataCount with contributions of great collaborators ๐คฉ
A big thank you and congratulations Natalia-Rozalia Avlona, Dovile Juodelyte, Thรฉo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Dariusz Zajฤ c, @DrVeronikaCH ๐ค
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Our workshop with @DrVeronikaCH, Enzo Ferrante, Judy Wawira Gichoya and Leo Joskowicz is this week!
We will focus on challenges within medical imaging datasets hindering fair and robust AI algorithms.
๐ 19-20 Sept, Nyborg Strand ๐ฉ๐ฐ and partially online, thanks to our virtual chairs Vรญctor Campello and Camila Gonzรกlez.
If you'd like to know more about the program or participate in the virtual sessions, here's more information https://purrlab.github.io/workshop/
Thanks to DFF and DDSA for the funding!
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