24th UK Conference on

Medical Image Understanding and Analysis

15 - 17 July 2020

St Anne's College, Oxford

Learn More


MIUA is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This is a rapidly growing subject with ever increasing real-world applicability.

MIUA welcomes all researchers in medical imaging including mathematicians, computer scientists, bioinformaticians, clinicians, engineers and bioscientists.

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 meeting is 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:

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 Microscopy
Neurology Novel Imaging Methods Ophthalmology Optical Imaging
Positron Emission Imaging Radiology Tissue Perfusion Ultrasound

Invited Speakers

Fergus Gleeson

Consultant Radiologist and Professor of Radiology, Oxford.

Fergus Gleeson
Julia Schnabel

Chair in Computational Imaging, King's College London.

Michael Bronstein

Chair in Machine Learning and Pattern Recognition, Imperial College London.

Michael Bronstein

Important Dates

Submission System Opens 15th January 2020
Paper Submission Deadline 17th March 2020
Registration Open April 2020
Author Notification 28th April 2020
Abstract Submission Deadline 4th May 2020
Camera-Ready Submission Deadline 8th May 2020
Early-Bird Registration Closes Deadline 15th May 2020
Conference 15th - 17th July 2020

Call for Papers

You are invited to submit your full paper to MIUA 2020 which will be held in Oxford, UK. The paper submission system will open on 15th January 2020.

The full paper submission deadline will be 23:59, Greenwich Mean Time (GMT), on 17th March 2020.

High-quality papers are requested, containing original contributions to the topics within the scope of MIUA. Submitted full papers should be formatted in the CCIS style, consisting a maximum of 12 pages (incl. text, figures, tables, references). Accepted papers will be included in the conference proceedings published by Springer. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, or Overleaf for the preparation of their papers. Submissions are to be made to the CMT system, and the review process will be double-blind.

Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

MIUA continues to foster fairness, diversity, and inclusion within its community. Submissions from typically underrepresented groups are particularly encouraged.

Organizing Committee

The Organizing Committee is comprised of academic members from the Medical Sciences Division (Nuffield Department of Clinical Neurosciences [NDCN], and The Big Data Institute [BDI]) and the Mathematical Physical and Life Sciences Division (Institute of Biomedical Engineering [IBME]), representing Oxford’s core strategic partners in medical imaging research.

Bartlomiej Papiez

Research Fellow at the Big Data Institute.

Bartlomiej Papiez

BDI, Oxford

Ana Namburete

Royal Academy Research Fellow based at the Institute of Biomedical Engineering.


IBME, Oxford

Mohammad Yaqub

VP of Engineering at Intelligent Ultrasound.

Mohammad Yaqub

NDCN, Oxford

Alison Noble

Technikos Professor of Biomedical Engineering at the Institute of Biomedical Engineering.


IBME, Oxford


St Anne's College, Oxford


St Anne's College is centrally located in Oxford, within walking distance (or a short taxi drive) from the central Oxford train station and the coach station and walking distance to most of the traditional central Oxford tourist sites and colleges.


Trains run regularly from major cities to Oxford (Oxford Railway Station is 0.9 mile from St Anne’s College, which is approximately a 20-minute walk). The train journey takes approximately 1 hour from London (Paddington), 1 hour from London (Marylebone), and 1 hour from Birmingham (New Street). There is also Oxford Parkway station for trains from Bicester and London Marylebone, and offering park and ride option for those driving via A34/A40/A44.


Coaches also run regularly from major cities to Oxford and London Heathrow/Gatwick (Gloucester Green Bus Station is 0.7 mile for the St Anne’s College which is a 15-minute walking distance).


Oxford University is close to the M40/A40 and M4/A34, however parking is rather an issue in Oxford, and conference organisers will not be able to provide parking permits in the Oxford City Centre.


The nearby airports in London (Heathrow, Gatwick, Luton) and Birmingham have frequent flights to all major national and European cities. There are excellent public transport links between Oxford (city center) and airports including:

London Heathrow Airport (LHR) Direct bus every 30 minutes (20 minutes during summer)
London Gatwick Airport (LGW) Direct bus every 60 minutes
London Luton Airport (LTN) Direct bus 11 times a day
Birmingham Airport (BHX) Direct train 17 times a day

You can view the interactive map of Oxford with the conference venue location, bus and train stations here.

Contact Us

For further information, please contact us via email and we will get back to you as soon as we can.

Institute of Biomedical Engineering
Old Road Campus Research Building
Roosevelt Drive, Oxford
United Kingdom OX3 7DQ



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