Medical Image Understanding and Analysis Conference 2017

MIUA is a UK-based meeting for the communication of research related to image processing and analysis and its application to medical imaging and biomedicine. The conference provides an opportunity to present and discuss research in medical image understanding and analysis, which is a rapidly growing subject with ever increasing real-world applicability.

For its 21st anniversary, the Medical Image Understanding and Analysis Conference – MIUA 2017 – is returning to Scotland, with its first visit to Edinburgh, Scotland’s vibrant capital city.

There will be an opportunity to present and show medical image analysis software, network, and in the evening socialise and experience the delights of a genuine Scottish ceilidh!

Honorary Guest Speaker:

Professor Sir Michael Brady to open the conference

Invited Speakers:

Ingela Nyström -- Interactive Image Segmentation and Visualisation - for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications

Professor Nyström is the Head of the Division of Visual Information and Interaction at the Department of Information Technology, and Director of the Centre for Image Analysis in Uppsala University, Sweden. Vice-Chair of the Council for Research Infrastructure in Sweden

Jinah Park -- Model-based approach to 3D shape recovery and analysis

Professor Park, from the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST, Daejeon, South Korea), is the Head of the Computer Graphics and Visualisation Research Laboratory and Head of KAIST Research Group of Future Emerging Technology on Medical Imaging.

Daniel Rueckert -- Machine Learning for Medical Imaging

Professor Rueckert is the Head of the Biomedical Image Analysis Laboratory at the Imperial College London, Fellow of the Royal Academy of Engineering, MICCAI and IEEE Societies.

Tutorials by:

Dr Constantino Carlos Reyes Aldasoro

Processing and analysing microscopy images with MATLAB

Dr Reyes Aldasoro is Senior Lecturer in the Department of Electrical and Electronic Engineering at the City University London, senior member of the IEEE, and author of “Biomedical Image Analysis Recipes in MATLAB: for Life Scientists and Engineers” (ISBN 978-1-118-65755-3, Wiley-Blackwell)

and

Dr Konstantinos Kamnitsas

Deep Learning on the analysis of radiological images

Dr Kamnitsas is a Post-Doctoral Researcher in the Department of Computing at the Imperial College London, former Software Engineer and Microsoft Research Intern, and author of DeepMedic.

A poster for the meeting can be downloaded here. Please use this to advertise this event locally.