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  • Metamaterials for Perfect Absorption

    Series series Physics and Astronomy (R0)
    This book provides a comprehensive overview of the theory and practical development of metamaterial-based perfect absorbers (MMPAs). It begins with a brief history of MMPAs which reviews the various theoretical and experimental milestones in their development. The theoretical background and fundamental working principles of MMPAs are then discussed, providing the necessary background on how MMPAs ... Read more

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  • Foundation Models for General Medical AI

    Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings from the Third International Workshop on Foundation Models for General Medical AI, MedAGI 2025, held in conjunction with the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, in Daejeon, South Korea, during September 27, 2025.The 19 full papers included in this book were carefully reviewed and ... Read more

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  • Foundation Models for General Medical AI

    Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings from the Second International Workshop on Foundation Models for General Medical AI, MedAGI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.The 17 papers included in this book were carefully reviewed and selected from 26 ... Read more

    $70.99 CAD

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    7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I

    Series Book 1 - Springer Nature Proceedings Computer Science
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  • Deep Learning for Medical Image Analysis

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    Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration ... Read more

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  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2025

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    Series Book 7 - Springer Nature Proceedings Computer Science
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    Series Book 11 - Springer Nature Proceedings Computer Science
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  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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