Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 (eBook, PDF)
28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part VI
Redaktion: Gee, James C.; Park, Jinah; Kim, Jong Hyo; Golland, Polina; Venkataraman, Archana; Sudre, Carole H.; Iglesias, Juan Eugenio; Hong, Jaesung; Alexander, Daniel C.
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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 ImagingPart II, LNCS Volume 15961: Surgical Navigation, Scene Understanding, and Video ModelingPart I...
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
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
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