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Titlebook: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Plac; 3rd International Wo Carole H. Sudre,

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Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimationconfidence score that indicates the sample is OOD. The use of KDE eliminates the need for making simplifying assumptions about the underlying feature pdfs and makes the proposed method task-agnostic. We perform experiments on classification task using computer vision benchmark datasets. Additionally
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Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Applicat as well as intensity non-uniformities, provides images of the fetal brain throughout development that are comparable to real data acquired in clinical routine. A case study on super-resolution reconstruction of the fetal brain from synthetic motion-corrupted 2D low-resolution series further demonst
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0302-9743 for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period..978-3-030-87734-7978-3-030-87735-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Hongwei Li,Sunita Gopal,Anjany Sekuboyina,Jianguo Zhang,Chen Niu,Carolin Pirkl,Jan Kirschke,BenediktThe First Steps
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Ertunc Erdil,Krishna Chaitanya,Neerav Karani,Ender Konukoglu
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Zoe Hu,Ricky Hu,Ryan Yan,Chantal Mayer,Robert N. Rohling,Rohit Singla
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