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株式会社極東書店トップ ＞ 商品一覧 ＞ Medical Image Computing and Computer Assisted Intervention - MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI.

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI.

Medical Image Computing and Computer Assisted Intervention - MICCAI 2025: 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part XVI.

・ISBN 978-3-032-05324-4 paper EUR 81.99

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カートに入れる

著者・編者Gee, James C. / Alexander, Daniel C. / Hong, Jaesung / Iglesias, Juan Eugenio / Sudre, Carole H. / Venkataraman, Archana / Golland, Polina / Kim, Jong Hyo / Park, Jinah (eds.),
シリーズ (Lecture Notes in Computer Science)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2025
ページ数699 pp.
言語ENG
ニュース番号＜A04-82639＞

解説

The 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23-27, 2025.

The total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows:

Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging

Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling

Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I)

Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II)

Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging

Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement

Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging

Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis

Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I)

Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II)

Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III)

Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV)

Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I)

Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II)

Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III)

Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods