Medical Image Computing and Computer Assisted Intervention – MICCAI 2026 Satellite Events. Agentic AI and Multimodal Learning MedAgent 2026, MultiTab 2026, HEADLINE 2026, CLiMeM 2026, held in Conjunction with MICCAI 2026, Strasbourg, France, Septembe

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2026 Satellite Events. Agentic AI and Multimodal Learning MedAgent 2026, MultiTab 2026, HEADLINE 2026, CLiMeM 2026, held in Conjunction with MICCAI 2026, Strasbourg, France, Septembe

Sale price  $98.99 Regular price $109.99

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Lecture Notes in Computer Science

Medical Image Computing and Computer Assisted Intervention – MICCAI 2026 Satellite Events. Agentic AI and Multimodal Learning

MedAgent 2026, MultiTab 2026, HEADLINE 2026, CLiMeM 2026, held in Conjunction with MICCAI 2026, Strasbourg, France, September 27 – October 1, 2026, Proceedings, Part XIII

Spyridon Bakas | Ghada Zamzmi | Xiaoxiao Li | Baoru Huang | Danail Stoyanov | Maxime Di Folco | Laura Daza | Martha Foltyn-Dumitru | Ricky Walsh | Nourhan Bayasi | Reza Hamidpour

Computers / Artificial Intelligence / Computer Vision & Pattern Recognition

This multi-volume set LNCS 17251-17279 constitutes the proceedings from the satellite events held in conjunction with the 29th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2026, in Strasbourg, France, during September 27-October 1, 2026.

The 1,586 papers included in these 29 volumes were thoroughly reviewed and accepted for presentation at 112 workshops, tutorials, and challenges. The proceedings include the following thematic parts - 

Parts I-II: Computational Pathology, Imaging Genomics, and Federated Learning;

Parts III-V: Neuroimaging, Neurooncology, and Neuroscience;

Part VI: Women's Health (Breast and Pelvic Image Analysis);

Part VII: Fetal, Neonatal, and Pediatric Image Analysis;

Part VIII: Generative AI in Medical Imaging; 

Part IX: Shape Analysis in Medical Imaging;

Part X: Uncertainty for Safe utilisation of Machine learning in Medical Imaging;

Parts XI-XII: Foundation Models, World Models, and Multimodal Learning;

Part XIII: Agentic AI and Multimodal Learning;

Parts XIV-XVI: Low Resource Environments, Efficient AI, and Next Generation Training;

Parts XVII-XIX: Cardiac and Thoracic Image Analysis;

Part XX: Dental and Opthalmic Image Analysis;

Part XXI: Head and Neck, Liver, Rheumatologic, and Skin Image Analysis;

Parts XXII-XXIV: Machine Learning and Medical Image Analysis in Clinical Applications;

Part XXV: Computer Assisted Interventions and Digital Twins;

Part XXVI: Ultrasound Imaging and Data Engineering Solutions in Medical Imaging;

Part XXVII: Medical Image Reconstruction, Registration, and Motion Estimation;

Part XXVIII: Computational Methods and Graphs for Biomedical Image Analysis;

Part XXIX: Responsible AI in Medical Image Computing


Publication Date: 17 January 2027
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783032437372
Format: Paperback softback

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