• VENUE






    09 July - 11 July, 2018
    Southampton, United Kingdom

  • scope

    MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meetings are designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities including among others:

    • Body imaging
    • Brain imaging
    • Cancer
    • Cardiac Imaging
    • Circulation and Microcirculation
    • Computational anatomy and physiology
    • Computed Tomography
    • Dermatology
    • Imaging Physics
    • In-vivo intravital imaging
    • Inflammation
    • Magnetic Resonance Imaging (structural, diffusion and functional)
    • Microscopy
    • Neurology
    • Novel Imaging Methods
    • Ophthalmology
    • Optical Imaging
    • Positron Emission Imaging
    • Radiology
    • Tissue Perfusion
    • Ultrasound

    Technical contributions are sought in all relevant areas including, but not limited to, the following:

    • Big data processing
    • Clinical and Scientific Evaluation of Imaging Studies
    • Computer-Aided Pathology
    • Computer-Aided Radiology
    • Computer-Assisted Surgery
    • Data Compression and Anonimisation
    • Data Fusion
    • Decision Support
    • Deep Learning in Medical Imaging
    • Discovery of imaging biomarkers
    • Human Computer Interaction
    • Image Enhancement
    • Image Interpretation
    • Image-Guided Intervention
    • Image formation and reconstruction
    • Image Perception
    • Image Registration
    • Image Segmentation
    • Intelligent Imaging Systems
    • Machine Learning in Imaging
    • Modelling and Simulation
    • Motion Analysis
    • Multi-Modality Image Analysis
    • Pattern and feature recognition
    • Protocol Development and Standardisation
    • Texture Analysis
    • Time series analyses
    • Virtual Reality
    • Visualisation