LEADER 05339nam 22006975 450 001 9910983352703321 005 20250811101718.0 010 $a3-031-73158-1 024 7 $a10.1007/978-3-031-73158-7 035 $a(MiAaPQ)EBC31702424 035 $a(Au-PeEL)EBL31702424 035 $a(CKB)36271353600041 035 $a(DE-He213)978-3-031-73158-7 035 $a(EXLCZ)9936271353600041 100 $a20241003d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUncertainty for Safe Utilization of Machine Learning in Medical Imaging $e6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /$fedited by Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (233 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15167 311 08$a3-031-73157-3 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15167 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputers 606 $aApplication software 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputing Milieux 606 $aComputer and Information Systems Applications 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aApplication software. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputing Milieux. 615 24$aComputer and Information Systems Applications. 676 $a006 700 $aSudre$b Carole H$01431730 701 $aMehta$b Raghav$01431733 701 $aOuyang$b Cheng$01785285 701 $aQin$b Chen$01258240 701 $aRakic$b Marianne$01785286 701 $aWells$b William M$01431734 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983352703321 996 $aUncertainty for Safe Utilization of Machine Learning in Medical Imaging$94316862 997 $aUNINA