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  Our webinar "Datasets through the L👀king-Glass" is back 😎 with great speakers: Dr. Jessica Schrouff, Rhys Compton, Lily Zhang and Dr. Enzo Ferrante. 🗣️ Shortcuts and bias 📅 4th Dec 2023 - 4 pm CET 🖥️ Zoom https://shorturl.at/cetY3 🔗 https://purrlab.github.io/webinar/ #MakingMetaDataCount with @DrVeronikaCH

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  “Datasets through the L👀king Glass” has been featured in RSIP Vision magazine! Check out our last webinar on "shortcuts and bias" ☺️ thanks! #MakingMetaDataCount with @DrVeronikaCH 📖 Read the full article: https://www.rsipvision.com/ComputerVisionNews-2024January/ 🎥 All previous webinar talks are available on our YouTube playlist https://rb.gy/2pmcmb

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  🎉 Exiting news! Join us for our next "Datasets through the L👀king Glass" webinar featuring amazing speakers 🤩 🗣️ Dataset design and metrics 📅 25th Mar 2024 - 4pm CET 🖥️ Zoom https://rb.gy/jfx71z 🔗 https://purrlab.github.io/webinar/ #MakingMetaDataCount with @DrVeronikaCH 📫 If you want to receive information about upcoming seminars, sign up to our mailing list! https://tinyurl.com/27a9syb7

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  “Datasets through the Looking Glass” has been featured in RSIP Vision! 😊 Check out our last webinar on "dataset design and metrics" with Dr. Annika Reinke, Natalia-Rozalia Avlona, Hubert Dariusz Zając, Dr. Sandra Avila and Alceu Bissoto 📖 Article: https://rsipvision.com/ComputerVisionNews-2024April//50/ 🎥 https://rb.gy/2pmcmb #MakingMetaDataCount with @DrVeronikaCH 🔗 Webinar website: https://purrlab.github.io/webinar 📫 Stay updated, sign up to our newsletter: https://ti...

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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. 📅 19-20 Sept, Nyborg Strand 🇩🇰 and partially online, thanks to our virtual chairs Víctor Campello and Camila González. 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...

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  🐈‍⬛ Copycats has been accepted at #NeurIPS2024 D&B Track! 🎉🎉 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. 🔗 https://arxiv.org/abs/2402.06353 #MakingMetadataCount with contributions of great collaborators 🤩 A big thank you and congratulations Natalia-Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Dariusz Zając, @DrVeronikaCH 🤗

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  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 🇩🇰 Come and chat with us (@DrVeronikaCH) at poster P24 🙂 https://d3aconference.dk/poster-session-d3a-2-0/ 🔗 https://arxiv.org/abs/2402.06353 https://social.itu.dk/@amelia/113204106912407336

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  Thrilled to share that "In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review" has been accepted at @FAccT 2025! See you in Athens 🏛️ 💙 https://arxiv.org/abs/2501.10727 🏺 We propose a living review that continuously tracks public medical imaging datasets and related research artifacts. 🧩 We highlight key practices for dataset creation, annotation, demographic diversity, and lifecycle management. 🔎 Check out our demo http://facct.itu.dk/ 📸 Kudos to ever...

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  Our webinar series "Datasets through the L👀king-Glass" is back! ✨ 📅 Join us on May 12 at 10:00 CEST: - Tiarna Lee - Racial Bias in Cardiac Imaging - Dewinda J. Rumala - Seeing the Same Brain Twice: Data Leakage and Identity Bias in Brain MRI Analysis - Amelia Jiménez-Sánchez - In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review I'm happy to be the third speaker, presenting our living review proposal, just accepted to ACM FAccT 2025! 🎊 https:/...