Medical Image Computing and Computer Assisted Intervention - MICCAI 2025

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<p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">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&ndash;27, 2025.</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">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: </span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part I, LNCS Volume 15960: Multimodal Fusion and Contextual Reasoning in Medical Imaging</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video Modeling</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part III, LNCS Volume 15962: Learning and Augmented Reality for Surgical and Endoscopic Applications (I)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part IV, LNCS Volume 15963: Learning and Augmented Reality for Surgical and Endoscopic Applications (II)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part V, LNCS Volume 15964: Graph-Based Methods in Medical Imaging</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part VI, LNCS Volume 15965: Datasets and Methods for Image Quality Enhancement</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part VII, LNCS Volume 15966: Trustworthy and Responsible AI for Medical Imaging</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part VIII, LNCS Volume 15967: Multimodal Learning for Diagnosis, Risk Prediction, and Survival Analysis</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part IX, LNCS Volume 15968: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (I)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part X, LNCS Volume 15969: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (II)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XI, LNCS Volume 15970: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (III)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XII, LNCS Volume 15971: Core Techniques in Medical Imaging: Segmentation, Registration, Synthesis, Reconstruction, and Other Emerging Methods (IV)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XIII, LNCS Volume 15972: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (I)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XIV, LNCS Volume 15973: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (II)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XV, LNCS Volume 15974: Adapting Foundation Models for Medical Imaging: LLMs, VLMs, and Cross-Domain Generalization (III)</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">Part XVI, LNCS Volume 15975: Statistical Techniques in Medical Imaging: Causality, Imputation, Weak Supervision, and Other Methods</span></p> <p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;"> </span></p>

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