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Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032065925 ISBN 13: 9783032065926
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Paperback. Condition: new. Paperback. This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025.The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031443357 ISBN 13: 9783031443350
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First Edition
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031731573 ISBN 13: 9783031731570
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030603644 ISBN 13: 9783030603649
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Language: English
Published by Springer-Nature New York Inc, 2025
ISBN 10: 3032065925 ISBN 13: 9783032065926
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Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031443357 ISBN 13: 9783031443350
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Paperback. Condition: Brand New. 233 pages. 9.25x6.10x0.50 inches. In Stock.
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031731573 ISBN 13: 9783031731570
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Paperback. Condition: Brand New. 237 pages. 9.25x6.10x9.25 inches. In Stock.
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Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030326888 ISBN 13: 9783030326883
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.