Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging; 5th International Wo Carole H. Sudre,Christian F. Baumgartner,Will

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Johanna P. Müller,Matthew Baugh,Jeremy Tan,Mischa Dombrowski,Bernhard Kainzecial Program Panel on Global Transport Mechanisms in the Geo-Sciences of the NATO Scientific Affairs Division agreed to sponsor the ASI and an organizing committee was formed. The committee comprised the co­ directors, Professor David S. Bowles (U.S.A.) and Professor P. Enda O‘Connell (U.K.), and P

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,RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification,tion set size an important measure only when the low error rate is achieved. Experiments on five public datasets show that our RR-CP performs well: with a reasonably small-sized prediction set, it achieves the user-specified low error rate significantly more frequently than exiting CP methods.

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,Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction,elines. We furthermore demonstrate how uncertainties arising in the MR reconstruction can be propagated to a downstream segmentation task, and show that PHiRec also allows well-calibrated estimation of segmentation uncertainties that originated in the MR reconstruction process.

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,On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medicdifferent depths of the network can enhance the robustness for detecting different OOD patterns. These insights were validated on real-world OOD tasks, training models on CheXpert chest X-rays with no support devices, then using scans with unseen pacemakers (we manually labelled 50% of CheXpert for

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