{"product_id":"9783032049360","title":"Lecture Notes in Computer Science: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part II","description":"\u003ch1\u003eLecture Notes in Computer Science: 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part II\u003c\/h1\u003e \u003ch2\u003eGee, James C.; Alexander, Daniel C.; Hong, Jaesung; Iglesias, Juan Eugenio; Sudre, Carole H.; Venkataraman, Archana; Golland, Polina; Kim, Jong Hyo; Park, Jinah\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThe 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.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThe total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. They were organized in topical parts as follows: \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePart XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003e \u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-09-20\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032049360\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-032-04937-7\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 699\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44358892880012,"sku":"9783032049360","price":80.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032049360.jpg?v=1774025717","url":"https:\/\/lateknightbooks.com\/products\/9783032049360","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}