Medical Image Computing and Computer Assisted Intervention – MICCAI 2026
29th International Conference, Strasbourg, France, September 27 – October 1, 2026, Proceedings, Part XVIII
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Beschreibung
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 Imaging
Part IV, LNCS Volume 16881: Domain Adaptation and Generalization in Medical Imaging
Part V, LNCS Volume 16882: Trustworthy, Explainable, and Responsible Medical AI
Part 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 Prognosis
Part XI, LNCS Volume 16888: Image Reconstruction and Image Enhancement
Part XII, LNCS Volume 16889: Medical Image Registration; Shape Analysis
Part XIII, LNCS Volume 16890: Medical Image Synthesis and Super-resolution
Part XIV, LNCS Volume 16891: Computational Pathology; Microscopic Imaging
Part XV, LNCS Volume 16892: Surgical Data Science and Scene Understanding
Part XVI, LNCS Volume 16893: Image-Guided Surgery and Intervention
Part XVII, LNCS Volume 16894: Neuroimaging and Brain-Computer Interfaces
Part XVIII, LNCS Volume 16895: Benchmarking Datasets and Methods; Clinical Applications
Part XIX, LNCS Volume 16896: Emerging Techniques and Applications
Autor*in
Guang Yang
Themen in »Medical Image Computing and Computer Assisted Intervention – MICCAI 2026«
life and medical sciences computational biology computer vision computing methodologies image and video acquisition machine learning computer graphics animation shape modeling decision support systems cross-computing tools and techniques applied computing