This workshop serves as a platform for the MICCAI community to discuss and debate crucial aspects of safety and uncertainty in medical image applications.
Thank you to everyone who attended #UNSURE2024 in Marakkech #MICCAI2024. Both the oral and poster sessions were full of crowds.
Congratulations to @AnnaMWundram and @GutweinSimon for winning the best paper awards.
Looking forward to seeing everyone in Daejeon at #MICCAI2025.
Congratulations @GutweinSimon on receiving the Best Poster Presentation Award of the #MICCAI2024@UNSURE_Workshop 🎉 for the publication “Fishing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. Proceedings are online now➡️ link.springer.com/chapter/10…
Great keynote today at @UNSURE_Workshop and UQinMIA tutorial by @MichelDojat on multimodal aspects of Uncertainty Quantification. Thanks all that came early today to participate!
Really good crowd at our poster session!! Come by poster room and get to know more about recent developments in machine learning safety for medical image analysis!! #MICCAI2024
#MICCAI2024 is still not over!!! Come by #UNSURE2024 workshop if you are interested in safety aspect of machine learning in medical imaging.
Room: Oliveraie in the conference center
We start with amazing tutorial sessions: sites.google.com/view/uqinmi…
Then poster session in the conference session during coffee break.
After coffee we have an amazing keynote by: Prof. @MichelDojat
This followed by a long oral session.
We end the workshop with a panel discussion and closing ceremony.
Looking forward to seeing everyone.
📢 New publication to be presented at @UNSURE_Workshop at #MICCAI2024!
📃🦾 Improving the reliability of AI radiology report generation models through a quality control framework!
👀 Check out our research: arxiv.org/abs/2407.21638
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Proud to have our paper on typicality-based OOD detection presented at #MICCAI2024#UNSURE!💡 By measuring how typical an image is, instead of its likelihood - we’re pushing the boundaries of anomaly detection in medical imaging.