The 19-volume set LNCS 16878 - 16896 constitutes the refereed proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2026, which took place in Strasbourg, France, during September 27 – October 1, 2026.The 1167 full papers included in the proceedings was carefully reviewed and selected from a total of 4601 submissions. The papers were organized in topical parts as follows: Part I, LNCS Volume 16878: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (I)Part II, LNCS Volume 16879: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (II)Part III, LNCS Volume 16880: Efficient Learning Strategies in Medical ImagingPart IV, LNCS Volume 16881: Domain Adaptation and Generalization in Medical ImagingPart V, LNCS Volume 16882: Trustworthy, Explainable, and Responsible Medical AIPart VI, LNCS Volume 16883: Medical Image Segmentation (I)Part VII, LNCS Volume 16884: Medical Image Segmentation (II)Part VIII, LNCS Volume 16885: Computer-Aided Diagnosis (I)Part IX, LNCS Volume 16886: Computer-Aided Diagnosis (II)Part X, LNCS Volume 16887: Longitudinal Modeling, Staging, and PrognosisPart XI, LNCS Volume 16888: Image Reconstruction and Image EnhancementPart XII, LNCS Volume 16889: Medical Image Registration; Shape AnalysisPart XIII, LNCS Volume 16890: Medical Image Synthesis and Super-resolutionPart XIV, LNCS Volume 16891: Computational Pathology; Microscopic ImagingPart XV, LNCS Volume 16892: Surgical Data Science and Scene UnderstandingPart XVI, LNCS Volume 16893: Image-Guided Surgery and InterventionPart XVII, LNCS Volume 16894: Neuroimaging and Brain-Computer InterfacesPart XVIII, LNCS Volume 16895: Benchmarking Datasets and Methods; Clinical ApplicationsPart XIX, LNCS Volume 16896: Emerging Techniques and Applications

The 19-volume set LNCS 16878 - 16896 constitutes the refereed proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2026, which took place in Strasbourg, France, during September 27 – October 1, 2026.The 1167 full papers included in the proceedings was carefully reviewed and selected from a total of 4601 submissions. The papers were organized in topical parts as follows: Part I, LNCS Volume 16878: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (I)Part II, LNCS Volume 16879: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (II)Part III, LNCS Volume 16880: Efficient Learning Strategies in Medical ImagingPart IV, LNCS Volume 16881: Domain Adaptation and Generalization in Medical ImagingPart V, LNCS Volume 16882: Trustworthy, Explainable, and Responsible Medical AIPart VI, LNCS Volume 16883: Medical Image Segmentation (I)Part VII, LNCS Volume 16884: Medical Image Segmentation (II)Part VIII, LNCS Volume 16885: Computer-Aided Diagnosis (I)Part IX, LNCS Volume 16886: Computer-Aided Diagnosis (II)Part X, LNCS Volume 16887: Longitudinal Modeling, Staging, and PrognosisPart XI, LNCS Volume 16888: Image Reconstruction and Image EnhancementPart XII, LNCS Volume 16889: Medical Image Registration; Shape AnalysisPart XIII, LNCS Volume 16890: Medical Image Synthesis and Super-resolutionPart XIV, LNCS Volume 16891: Computational Pathology; Microscopic ImagingPart XV, LNCS Volume 16892: Surgical Data Science and Scene UnderstandingPart XVI, LNCS Volume 16893: Image-Guided Surgery and InterventionPart XVII, LNCS Volume 16894: Neuroimaging and Brain-Computer InterfacesPart XVIII, LNCS Volume 16895: Benchmarking Datasets and Methods; Clinical ApplicationsPart XIX, LNCS Volume 16896: Emerging Techniques and Applications

The 19-volume set LNCS 16878 - 16896 constitutes the refereed proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2026, which took place in Strasbourg, France, during September 27 – October 1, 2026.The 1167 full papers included in the proceedings was carefully reviewed and selected from a total of 4601 submissions. The papers were organized in topical parts as follows: Part I, LNCS Volume 16878: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (I)Part II, LNCS Volume 16879: Adapting Foundation Models for Medical Imaging: Large Vision and Language Models (II)Part III, LNCS Volume 16880: Efficient Learning Strategies in Medical ImagingPart IV, LNCS Volume 16881: Domain Adaptation and Generalization in Medical ImagingPart V, LNCS Volume 16882: Trustworthy, Explainable, and Responsible Medical AIPart VI, LNCS Volume 16883: Medical Image Segmentation (I)Part VII, LNCS Volume 16884: Medical Image Segmentation (II)Part VIII, LNCS Volume 16885: Computer-Aided Diagnosis (I)Part IX, LNCS Volume 16886: Computer-Aided Diagnosis (II)Part X, LNCS Volume 16887: Longitudinal Modeling, Staging, and PrognosisPart XI, LNCS Volume 16888: Image Reconstruction and Image EnhancementPart XII, LNCS Volume 16889: Medical Image Registration; Shape AnalysisPart XIII, LNCS Volume 16890: Medical Image Synthesis and Super-resolutionPart XIV, LNCS Volume 16891: Computational Pathology; Microscopic ImagingPart XV, LNCS Volume 16892: Surgical Data Science and Scene UnderstandingPart XVI, LNCS Volume 16893: Image-Guided Surgery and InterventionPart XVII, LNCS Volume 16894: Neuroimaging and Brain-Computer InterfacesPart XVIII, LNCS Volume 16895: Benchmarking Datasets and Methods; Clinical ApplicationsPart XIX, LNCS Volume 16896: Emerging Techniques and Applications