05339nam 22006975 450 991098335270332120250811101718.03-031-73158-110.1007/978-3-031-73158-7(MiAaPQ)EBC31702424(Au-PeEL)EBL31702424(CKB)36271353600041(DE-He213)978-3-031-73158-7(EXLCZ)993627135360004120241003d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUncertainty for Safe Utilization of Machine Learning in Medical Imaging 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /edited by Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (233 pages)Lecture Notes in Computer Science,1611-3349 ;151673-031-73157-3 -- Annotation Uncertainty. -- Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection. -- Active Learning for Scribble-based Diffusion MRI Segmentation. -- FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. -- Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. -- Clinical implementation of uncertainty modelling and risk management in clinical pipelines. -- Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. -- GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries. -- Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. -- Conformal Performance Range Prediction for Segmentation Output Quality Control. -- Holistic Consistency for Subject-level Segmentation Quality Assessment in Medical Image Segmentation. -- Out of distribution and domain shift identification and management. -- CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning. -- Image-conditioned Diffusion Models for Medical Anomaly Detection. -- Information Bottleneck-based Feature Weighting for Enhanced Medical Image Out-of-Distribution Detection. -- Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. -- Typicality excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging. -- Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. -- Uncertainty-Aware Vision Transformers for Medical Image Analysis. -- Uncertainty modelling and estimation. -- Efficient Precision control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. -- GLANCE: Combating Label Noise using Global and Local Noise Correction for Multi-Label Chest X-ray Classification. -- Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening. -- INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning.This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.Lecture Notes in Computer Science,1611-3349 ;15167Image processingDigital techniquesComputer visionArtificial intelligenceComputersApplication softwareComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputing MilieuxComputer and Information Systems ApplicationsImage processingDigital techniques.Computer vision.Artificial intelligence.Computers.Application software.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.Computing Milieux.Computer and Information Systems Applications.006Sudre Carole H1431730Mehta Raghav1431733Ouyang Cheng1785285Qin Chen1258240Rakic Marianne1785286Wells William M1431734MiAaPQMiAaPQMiAaPQBOOK9910983352703321Uncertainty for Safe Utilization of Machine Learning in Medical Imaging4316862UNINA