Machine Learning in Medical Imaging: 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings - Couverture souple

9783032095121: Machine Learning in Medical Imaging: 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings

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ISBN 10 : 3032095123 ISBN 13 : 9783032095121

Editeur : Springer, 2026

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This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.

The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2026
Langue: anglais
ISBN 10: 3032095123
ISBN 13: 9783032095121
Reliure: Broch�
Nombre de pages: 700
�diteur: Cui Zhiming, Rekik Islem, Suk Heung-IL, Ouyang Xi, Sun Kaicong, Wang Sheng
Coordonn�es du fabricant: ProductSafety@springernature.com
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Machine Learning in Medical Imaging (Paperback)

Zhiming Cui

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Paperback. Etat : new. Paperback. This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783032095121

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Machine Learning in Medical Imaging

Zhiming Cui

Edit� par Springer, Berlin, European Commission, Austrian Science Fund, Springer, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, onSeptember 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. 683 pp. Englisch. N� de r�f. du vendeur 9783032095121

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Machine Learning in Medical Imaging (Paperback)

Zhiming Cui

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Paperback. Etat : new. Paperback. This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9783032095121

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Machine Learning in Medical Imaging: 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, . (Lecture Notes in Computer Science, 16241)

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ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Machine Learning in Medical Imaging: 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, . (Lecture Notes in Computer Science, 16241)

Edit� par Springer, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Machine Learning in Medical Imaging: 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, . (Lecture Notes in Computer Science, 16241)

Edit� par Springer, 2026

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Machine Learning in Medical Imaging | 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings

Zhiming Cui (u. a.)

Edit� par Springer, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Machine Learning in Medical Imaging

Zhiming Cui

Edit� par Springer, Springer Jan 2026, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 700 pp. Englisch. N� de r�f. du vendeur 9783032095121

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Machine Learning in Medical Imaging : 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings

Zhiming Cui

Edit� par Springer, Springer International Publishing, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, onSeptember 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. N� de r�f. du vendeur 9783032095121

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Machine Learning in Medical Imaging (Paperback)

Zhiming Cui

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032095123 ISBN 13 : 9783032095121

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Paperback. Etat : new. Paperback. This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9783032095121

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