TY - GEN N2 - This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration. DO - 10.1007/978-3-031-44336-7 DO - doi AB - This book constitutes the refereed proceedings of the 5th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2023, held in conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. For this workshop, 21 papers from 32 submissions were accepted for publication. The accepted papers cover the fields of uncertainty estimation and modeling, as well as out of distribution management, domain shift robustness, Bayesian deep learning and uncertainty calibration. T1 - Uncertainty for safe utilization of machine learning in medical imaging :5th international workshop, UNSURE 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, proceedings / AU - Sudre, Carole H., AU - Baumgartner, Christian AU - Dalca, Adrian V. AU - Mehta, Raghav, AU - Qin, Chen, AU - Wells, William M., VL - 14291 CN - RC78.7.D53 N1 - Conference proceedings. N1 - Includes author index. ID - 1482322 KW - Imagerie pour le diagnostic KW - Intelligence artificielle en médecine KW - Apprentissage automatique KW - Diagnostic imaging KW - Artificial intelligence KW - Machine learning SN - 9783031443367 SN - 3031443365 TI - Uncertainty for safe utilization of machine learning in medical imaging :5th international workshop, UNSURE 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, proceedings / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44336-7 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44336-7 ER -