Medical Image Computing and Computer Assisted Intervention — 2026
September 27, 2026 - October 1, 2026
Palais des Congres de StrasbourgStrasbourg, France
AI Deep Learning Computer Vision Image Processing
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.
Venue
Palais des Congres de Strasbourg
Place de Bordeaux, 67000 Strasbourg, France
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AE-CAI / CARE-CAI / OR 2.0: Augmented Environments and Computer-Assisted Interventions
Joint workshop advancing medical imaging and augmented reality for surgical and endoscopic computer-assisted interventions. Covers clinical applications of augmented and...
AFRICAI: Medical Imaging AI in African Health Systems
Annual meeting of MICCAI's Special Interest Group dedicated to advancing medical imaging AI in African health systems. Brings together researchers...
AMAI: Applications of Medical AI
Focuses on translational and clinical aspects of AI in healthcare, bringing together researchers, clinicians, and industry professionals to discuss development,...
ASMUS: Advances in Simplifying Medical Ultrasound
MICCAI Ultrasound SIG workshop covering advances in AI and computational methods for medical ultrasound imaging analysis. Addresses challenges unique to...
BrainWorks: Robust Computational Neuroimaging for Brain Abnormalities
Develops robust computational neuroimaging and neuropathology methods that remain reliable when analyzing brain images containing abnormalities like tumors, traumatic brain...
CAPI-WOMEN: Computer-Assisted Pathology and Imaging for Women's Health
Focuses on imaging and computer-assisted interventions for pathologies specific to women, including gynecological disorders, reproductive health, and conditions influenced by...
CaPTion: Cancer Prevention through Early Detection
Focuses on computational methods for cancer detection and treatment through medical imaging. Addresses challenges in developing robust, interpretable, and clinically...
CBM-XXI: Computational Biomechanics for Medicine
Combines mathematical modeling, computer simulation, and medical imaging to solve complex biomedical problems. Explores how physics-based biomechanical models can enhance...
CDMRI: Computational Diffusion MRI
Long-running MICCAI workshop focused on computational and machine learning methods for diffusion MRI analysis, including diffusion tensor imaging, tractography, and...
CLiMeM: Continual Learning in Medical Imaging
Focuses on continual and lifelong learning approaches for medical imaging AI that can adapt to new tasks, domains, and data...
CLIP: Clinical Translation of Computational Imaging and Pathology
Focuses on the effective translation of computational imaging techniques into clinical practice by combining imaging data with genomics, lifestyle data,...
CMMCA: Computational Mathematics for Medical Cancer Analysis
Convenes mathematicians, engineers, and physicians to discuss innovative mathematical approaches for analyzing multimodal cancer data. Focuses on practical clinical applications...
COLAS: Collaborative Intelligence and Autonomy in Image-Guided Surgery
Explores how AI and robotic automation can enhance surgical precision and decision-making in image-guided surgery. Covers surgical scene understanding, image...
COMPAYL++: Computational Pathology with Multimodal Learning
Integrates digital pathology with machine learning and multimodal clinical data including language, omics, and radiology to advance precision medicine. Covers...
CREATE: Clinical Robotics and Embodied AI for Therapeutic Environments
Brings together researchers, clinicians, and engineers to explore how embodied AI and large language models can advance healthcare through enhanced...
DeCaF: Federated and Distributed Learning for Medical Imaging
Addresses federated and distributed learning approaches for medical imaging and healthcare AI that enable collaborative model training across institutions while...
Deep-Brea3th: AI and Imaging for Breast Care
Advances breast cancer detection, segmentation, and treatment through AI and multimodal imaging techniques including mammography, ultrasound, MRI, and pathology analysis....
DEMI: Data Engineering in Medical Imaging
Focuses on the data engineering challenges underlying medical imaging AI, including data curation, annotation pipelines, quality control, and synthetic data...
DGM4MICCAI: Deep Generative Models for Medical Image Computing
Applies deep generative models - including diffusion models, GANs, and VAEs - to medical imaging and computer-assisted interventions. Covers image...
DT4H: Digital Twins for Healthcare
Explores digital twin technology in healthcare, examining how computational models integrating medical imaging, AI, and physiological measurements can advance patient...
ELAMI: Efficient and Label-Efficient AI in Medical Imaging
Focuses on developing efficient and label-efficient deep learning methods for medical image analysis that reduce dependence on large annotated datasets....
EMA: Efficient Medical AI
Develops computationally efficient and resource-conscious AI solutions for clinical applications, addressing high computational costs, annotation burden, and deployment constraints. Focuses...
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
Addresses the unique challenges of navigating medical endoscopes through tortuous body passages using advanced imaging and AI techniques. Emphasizes robust...
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
Workshop focused on graph-based and topology-informed computational methods for analyzing medical images and biomedical data. Covers applications like image segmentation,...
HAIC: Human-AI Collaboration in Medical Imaging
Focuses on designing AI systems that work effectively alongside clinicians in medical imaging tasks, addressing questions of trust, explainability, and...
HemaRAI: AI for Blood Smear and Hematology Image Analysis
Develops robust and clinically reliable AI methods for blood smear analysis, focusing on red blood cell analysis and parasitemia detection....
iMIMIC: Interpretability of Machine Learning for Medical Imaging
Focuses on methods for explaining and interpreting deep learning models in medical imaging, including attribution maps, concept-based explanations, and uncertainty...
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
Explores how autonomous AI agents can support medical applications including diagnosis, clinical decision-making, intervention, and robotics. These agentic systems leverage...
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
Dedicated forum for researchers applying AI to radiation oncology, focusing on physics-aware and biologically grounded therapeutic AI. Integrates deep learning...
MIRASOL: Medical Imaging in Resource-Constrained Settings
Addresses the development and deployment of medical imaging AI for low-resource clinical environments, including those common in low- and middle-income...
MISO: Medical Image-Based Spatial Omics
Dedicated MICCAI forum for researchers bridging medical image computing with spatial biology research, exploring how imaging analysis techniques can be...
ML-CDS: Multimodal Learning for Clinical Decision Support
Focuses on multimodal learning and fusion across scales for clinical decision support, addressing challenges in integrating imaging, video, text, and...
MLCN: Machine Learning in Clinical Neuroimaging
Addresses challenges in applying machine learning to neuroimaging data analysis, focusing on methodological approaches for complex neuroimaging data and bridging...
MLMI: Machine Learning in Medical Imaging
International workshop covering machine learning methods - including deep learning, probabilistic models, and large language and vision models - applied...
MultiTab: Multimodal AI Integrating Imaging with Tabular Clinical Data
Advances AI methods that integrate medical imaging with tabular clinical data such as electronic health records, laboratory measurements, and omics...
MWM: Medical World Model Workshop
Explores the development of world models for medical applications that can simulate physiological processes, disease progression, and treatment responses. Addresses...
ODIN: Multi-Structure and Multi-Modal Learning for 3D Dental Image Analysis
Advances AI techniques for analyzing oral and dental imaging data including CBCT and intraoral scans, bringing together computer vision and...
OFF-GRID: Continuous Representations and Grid-Free Methods in Medical Imaging
Explores continuous representations and grid-free methods in medical imaging, moving beyond traditional discrete voxel grids using techniques like implicit neural...
OMIA: Ophthalmic Medical Image Analysis
Long-running MICCAI workshop focused on AI and computational methods for ophthalmic image analysis, covering fundus photography, OCT, and other retinal...
PedAItrics: AI and Imaging for Childhood Diseases and Pediatric Cancers
Advances AI applications in pediatric medical imaging, addressing unique challenges like anatomical variability and limited datasets in childhood disease. Showcases...
PIPPI: Perinatal and Paediatric Imaging
Dedicated satellite workshop for sophisticated analysis tools applied to fetal, neonatal, and pediatric imaging data. Brings together researchers developing advanced...
PRiSM: Precision Interventions with Sensing and Mixed Reality
Dedicated to computer-assisted interventions with a strong focus on mixed-reality-enabled surgical guidance. Advances medical imaging and AI technologies for surgical...
RHEUM-AI: AI for Rheumatology Imaging
Focuses on developing AI and medical imaging methods for rheumatic disease detection, monitoring, and management, including analysis of joint imaging...
RIME: Reconstruction and Image Motion Estimation
Addresses the intersection of image reconstruction and motion estimation in medical imaging, advancing computational methods including deep learning and physics-informed...
SAFER: Faithful Reasoning and Safe Adaptation in Medical AI
Advances trustworthy medical AI through faithful reasoning and safe adaptation across imaging and multimodal clinical data. Key areas include detecting...
SafeSurg: AI Safety in Surgical Procedures
Brings together researchers and practitioners to advance AI technologies designed to enhance safety in surgical procedures. Focuses on how AI...
SASHIMI: Simulation and Synthesis in Medical Imaging
Focuses on simulation and synthesis of medical image data using deep learning, machine learning, and computational models. Addresses how synthetic...
ShapeMI: Shape Analysis and Geometric Learning in Medical Imaging
Focuses on shape analysis and geometric learning methods in medical imaging, combining classical computational anatomy with modern deep learning architectures....
STACOM: Statistical Atlases and Computational Modelling of the Heart
Brings together researchers and clinicians focused on statistical analysis of cardiac morphology and dynamics, computational heart modelling, and fluid dynamics...
SWITCH+: Surgical Workflow and Instrument Tracking in Computer-assisted Healthcare
Focuses on AI methods for tracking surgical instruments and understanding surgical workflows in computer-assisted interventions. Addresses challenges in real-time instrument...
TIA: Thoracic Image Analysis
MICCAI satellite event focused on advancing cardiac and pulmonary imaging through interdisciplinary research. Covers all aspects of thoracic image analysis...
UNSURE: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging
Addresses the critical need to quantify and manage uncertainty in AI systems deployed in clinical practice, covering applications including diagnostics,...
Our picks for Medical Image Computing and Computer Assisted Intervention attendees
A curated selection of hotels chosen for location, value, and fit for conference travellers.
Hilton Strasbourg
1 Avenue Herrenschmidt, 67000 Strasbourg, France
Four-star business hotel in the European Quarter directly adjacent to the Palais des Congres de Strasbourg and a 10-minute walk from the...
Hotel Hannong
15 Rue du 22 Novembre, 67000 Strasbourg, France
Well-regarded three-star boutique hotel named after the historic Hannong family of Strasbourg porcelain makers, in the pedestrianized shopping district steps from the...
Ibis Strasbourg Centre Historique
8 Rue de la Fontaine, 67000 Strasbourg, France
Budget-friendly Ibis in the historic center with clean, compact rooms and a central location a short tram ride from the conference venue...
Hotel Regent Petite France & Spa
5 Rue des Moulins, 67000 Strasbourg, France
Romantic five-star hotel in a converted ice factory on the canal in the La Petite France district, with an indoor pool, river...
Sofitel Strasbourg Grande Ile
4 Place Saint-Pierre-le-Jeune, 67000 Strasbourg, France
Five-star flagship hotel on the edge of the Grande Ile UNESCO district with a full spa, Alsatian fine dining restaurant, and rooms...