Bartłomiej W. Papież – författare

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: ​image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.

This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. 

The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: ​image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling.

This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.

This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. 

The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.

This book constitutes the refereed proceedings of the second International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 11 papers presented at CaPTion 2023 were carefully reviewed and selected from 12 submissions. The workshop invites researchers to submit their work in the field of medical image analysis around the central theme of cancer and early cancer detection, progression, inflammation understanding, multimodality data, and computer-aided navigation.

This book constitutes the refereed proceedings of the second International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.

The 11 papers presented at CaPTion 2023 were carefully reviewed and selected from 12 submissions. The workshop invites researchers to submit their work in the field of medical image analysis around the central theme of cancer and early cancer detection, progression, inflammation understanding, multimodality data, and computer-aided navigation.

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

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

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

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

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

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