Information Processing in Medical Imaging (IPMI 2025)

The Information Processing in Medical Imaging (IPMI 2025) focuses on innovative advancements in medical imaging methodologies, offering an in-depth forum for the presentation and constructive critique of cutting-edge research in the field.

Topics

• Image acquisition and reconstruction
• Fairness of machine learning in medical imaging
• Generative modelling
• Functional, diffusion and molecular imaging methods
• Representation learning
• Image registration and segmentation
• Biological imaging and digital pathology methods
• Computational anatomy and physiology
• Uncertainty modelling and quantification
• Image synthesis
• Image-guided interventions and surgery
• Computer-aided diagnosis and treatment
• Visualization in medical imaging
• Transfer learning, domain adaptation, and data harmonization
• Inference and learning from uncertain, noisy, incomplete or limited data
• Geometric learning and geometric deep learning
• Multidimensional, multimodality, multiscale imaging problems
• Novel deep learning methods for medical imaging
• Foundations of deep learning and their evaluation
• Image information fusion and synthesis
• Statistical and mathematical foundations of imaging science
• Interpretable, explainable, and causal learning
• Imaging genomics, imaging omics
• Statistical and computational modelling

Who should Attend

• Medical imaging researchers
• Computer science and data science professionals in healthcare
• Healthcare AI developers
• Statisticians and computational modelers in imaging
• Medical device and imaging technologists
• Practitioners interested in machine learning for medical imaging
• Academics specializing in medical image analysis