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#14: Uncertainty Aware ViT by Franciskus Xaverius Erick, Bernhard Kainz et al. #MICCAI2024 Tl,Dr: New stochastic ViT enhances uncertainty estimation and performance in medical imaging, improving reliability for critical applications! 📜: openreview.net/forum?id=UPHye… 📷: youtu.be/Yg8qey9U9m8?fe…

#15: Efficient Precision control by Vincent Blot et al. #MICCAI2024 Tl,Dr: It enhances precision-recall in image analysis for ovarian follicle quantification, improving F1-score without retraining! 📜: openreview.net/forum?id=pqyCd… 📽️: youtu.be/q_OYMwYsoLA?fe…

#16: Uncertainty-Aware BDL for Seizure Detection by Deeksha Shama & Archana Venkataraman. #MICCAI2024 Tl,Dr: BUNDL mitigates label uncertainty in EEG-based seizure detection, enhancing performance and reducing false predictions! 📜: openreview.net/forum?id=xWbV6… 📽️: youtu.be/gbpoL6yUB70?fe…

#17: GLANCE by Xianze Ai et al., #MICCAI2024 Tl,Dr: The framework uses global and local noise correction to enhance multi-label classification in chest X-rays, improving diagnostic accuracy and reliability! 📜: openreview.net/forum?id=3P0bM… 📽️: youtu.be/MWLr9WItlRU?fe…

#18: Conformal Prediction in cancer screening by Christopher Clark, Jayashree Kalpathy, et al. #MICCAI2024 Tl,Dr: It compares MC dropout and CP for uncertainty estimation in cervical cancer screening! 📜: openreview.net/forum?id=z9bJx… 📽️: youtu.be/FNzWcHmm_vw?fe…

📣 New publication to be presented at UNSURE workshop 2025 #MICCAI2024! ⚠️Individual #outofdistribution detection methods have strengths and weaknesses. 💡 Combining complementary methods can mitigate their weaknesses! 🧐 Dive into our research: link.springer.com/chapter/10.100… 🧵(1/10)

#19: INFORMER by Zixin Shu, Mauricio Reyes, et al. #MICCAI2024 Tl,Dr: New QC method enhances interpretability and uncertainty estimation in multi-label classification on CheXpert dataset, achieving higher F1 scores. 📜: openreview.net/forum?id=pANT1… 📽️: youtu.be/UhWyoaFwlig?fe…

📢 New publication to be presented at UNSURE workshop 2025 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 🧵 (1/5)

#20: Information Bottleneck-based Feature Weighting for Enhanced Medical Image OoD Detection by Brayden Schott et al. #MICCAI2024 📜: openreview.net/forum?id=Mshex… 📽️: youtu.be/mEhkwVmRhzk?fe…

Olivieraie room is quickly filling up. Come by and grab your seat for our tutorial session. #MICCAI2024

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

Great keynote today at UNSURE workshop 2025 and UQinMIA tutorial by Dojat Michel on multimodal aspects of Uncertainty Quantification. Thanks all that came early today to participate!

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/10.100…

Thank you to everyone who attended #UNSURE2024 in Marakkech #MICCAI2024. Both the oral and poster sessions were full of crowds. Congratulations to Anna Maria Wundram and @GutweinSimon for winning the best paper awards. Looking forward to seeing everyone in Daejeon at #MICCAI2025.

🔊 Excited to share you can watch my presentation on ‘A critical analysis of OOD detection’ on YouTube! This was presented at UNSURE workshop 2025 at MICCAI 2024. #MICCAI #MICCAI2024 MICCAI Students MICCAI 🧐 Check it out now: youtu.be/aLJhQsk4IDY?fe…