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Medical Image Computing and Computer Assisted Intervention — 2026

September 27, 2026 - October 1, 2026

Palais des Congres de Strasbourg
Strasbourg, France

AI Deep Learning Computer Vision Image Processing

CORE Ranking A

The Medical Image Computing and Computer Assisted Intervention (MICCAI) conference is the leading international forum for research at the intersection of medical imaging, computer vision, and clinical AI. The 2026 edition takes place September 27 to October 1 at the Palais des Congres de Strasbourg in Strasbourg, France. MICCAI covers image segmentation and registration, surgical AI and robotics, diffusion models and generative methods for medical data, clinical deployment of diagnostic AI, federated learning for healthcare, multimodal biomedical analysis, and uncertainty quantification in clinical AI systems. Strasbourg is served by TGV trains from Paris Charles de Gaulle (under 2 hours), Frankfurt (1h10), and connections to Amsterdam, Brussels, and Zurich. Strasbourg Airport (SXB) offers direct flights from Paris CDG, Amsterdam, and several other European cities. The Palais des Congres is in the European Quarter, accessible by tram line E from the central station.

  For more information, visit the conference website

Venue

Palais des Congres de Strasbourg
Place de Bordeaux, 67000 Strasbourg, France
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CDMRI: Computational Diffusion MRI

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CLiMeM: Continual Learning in Medical Imaging

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CMMCA: Computational Mathematics for Medical Cancer Analysis

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COLAS: Collaborative Intelligence and Autonomy in Image-Guided Surgery

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COMPAYL++: Computational Pathology with Multimodal Learning

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DeCaF: Federated and Distributed Learning for Medical Imaging

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Deep-Brea3th: AI and Imaging for Breast Care

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DEMI: Data Engineering in Medical Imaging

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DGM4MICCAI: Deep Generative Models for Medical Image Computing

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DT4H: Digital Twins for Healthcare

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EMERGE: Early-Career Student Research Workshop

Student-led platform for early-career researchers to present original work in medical image computing and computer-assisted interventions. Covers segmentation, diagnosis, surgical...

EndoLINA: Endoluminal Intervention and Navigation

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FAIMI / BRIDGE / EPIMI: Fairness, Regulatory, and Ethical AI in Medical Imaging

Joint workshop covering fairness of AI in medical imaging, bridging regulatory science with imaging evaluation, and examining ethical and philosophical...

GRAIL: Graph-Based Methods in Biomedical Image Analysis

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HAIC: Human-AI Collaboration in Medical Imaging

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HemaRAI: AI for Blood Smear and Hematology Image Analysis

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iMIMIC: Interpretability of Machine Learning for Medical Imaging

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ISIC: Skin Image Analysis Workshop

Advances computer vision and AI methods for analyzing skin images across dermoscopic, clinical, and 3D modalities to improve disease detection,...

MedAgent: Agentic AI for Medicine

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MedAGI: Medical Artificial General Intelligence

Explores the development of general-purpose AI systems capable of performing diverse medical imaging and clinical tasks without task-specific training. Addresses...

METIS: Methods for Translation of Medical Imaging AI to Clinical Settings

Brings together clinical and computational experts to address the gap between developing medical imaging AI algorithms and implementing them in...

MI4MedFM: Mechanistic Interpretability for Medical Foundation Models

Explores mechanistic interpretability techniques - including sparse autoencoders and circuit analysis - to understand how medical foundation models make clinical...

MIART: Medical Imaging and AI for Radiation Therapy

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MIRASOL: Medical Imaging in Resource-Constrained Settings

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MISO: Medical Image-Based Spatial Omics

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ML-CDS: Multimodal Learning for Clinical Decision Support

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MWM: Medical World Model Workshop

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PIPPI: Perinatal and Paediatric Imaging

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RIME: Reconstruction and Image Motion Estimation

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SAFER: Faithful Reasoning and Safe Adaptation in Medical AI

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SafeSurg: AI Safety in Surgical Procedures

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SASHIMI: Simulation and Synthesis in Medical Imaging

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