Medical Image Understanding and Analysis Conference 2017
When |
Jul 11, 2017 12:00 AM
to
Jul 13, 2017 12:00 AM |
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Where | John McIntyre Centre, Pollock Halls, Edinburgh |
Contact Name | MIUA.2017@ed.ac.uk |
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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!
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.