Selected Papers from MIUA 2017

Medical Image Understanding and Analysis (MIUA) 2017 (https://miua2017.wordpress.com/) is the 21st conference of the Medical Image Understanding and Analysis series organised in the United Kingdom for communicating research progress within the community interested in biomedical image analysis. Its goals are the dissemination and discussion of research in medical image processing and analysis and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together specialists, academics, engineers, image analysts and clinicians from various communities, including human body, lung, brain and cardiac imaging, pre-clinical, microscopy and animal images, medical physics, anatomy, physiology, oncology, dermatology, neurology, radiology, ophtalmology, ultrasound, magnetic resonance, positron emission imaging, and computed tomography among others.

The conference covers the following topics in the field of medical imaging: Big Data Processing, Clinical and Scientific Evaluation of Imaging Studies, Computer-Aided Pathology, Computer-Aided Radiology, Computer-Assisted Surgery, Data Fusion, Data Compression and Anonimisation, Protocol Development and Standardisation, Decision Support, Discovery of Imaging Biomarkers, Human Computer Interaction, Image Interpretation, Image-Guided Intervention, Image Formation and Reconstruction, Image Perception, Image Registration, Image Segmentation, Intelligent Imaging Systems, Machine Learning in Medical Imaging, Modelling and Simulation, Motion Analysis, Multi-Modality Image Analysis, Pattern and Feature Recognition, Quantitative Image Analysis, Shape Analysis, Software Development, Super-Resolution Algorithms, Statistical Methods in Imaging, Systematic Testing and Validation, Texture Analysis, Image Enhancement, Time series analyses and Virtual Reality Visualisation.