25th UK Conference on

Medical Image Understanding and Analysis

Abstract submission system open now

12 - 14 July 2021

University of Oxford

Learn More

COVID-19 Update

Due to future uncertainty caused by the COVID-19 pandemic, we have regretfully decided to cancel the physical meeting this year and move MIUA 2021 to a virtual context. The safety and well-being of MIUA participants is our top priority, therefore we believe that fully virtual meeting is the only viable option to run this conference smoothly.

As MIUA 2021 goes virtual this year, we will be using a virtual events platform across all three days, which will enable all of us to meet virtually, present the accepted papers and moderate live question and answer sessions, and deliver associated seminars and tutorials. The detailed schedule and guidelines about presentation will be released in due course. The conference registration fee will be reduced to reflect this change.

We appreciate the work that has gone into preparing contributions, hence we are still welcoming paper submissions until 28th March 2021 using our online submission system. Please note that this deadline is final and no further extensions can be granted at this point. All submissions will be peer-reviewed and accepted articles will be published as MIUA Proceedings by the Springer Publishing Group.

Thank you for your understanding, and we look forward to delivering MIUA 2021 in a way that is rewarding for our authors and interesting for the research community as a whole.

Scope

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

Keynote Speakers

Prof. Mihaela van der Schaar

The John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge

Prof. Mihaela van der Schaar

The John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge

Biography: Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.

Mihaela was elected IEEE Fellow in 2009. She has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

More details about Mihaela

Dr. Ben Glocker

Reader in Machine Learning for Imaging at the Department of Computing at Imperial College London

Dr. Ben Glocker

Reader in Machine Learning for Imaging at the Department of Computing at Imperial College London

Biography: Ben Glocker is Reader in Machine Learning for Imaging at the Department of Computing at Imperial College London where he co-leads the Biomedical Image Analysis Group. He also leads the HeartFlow-Imperial Research Team and is scientific advisor for Kheiron Medical Technologies and a Visiting Researcher at Microsoft Research Cambridge. He holds a PhD from TU Munich and was a postdoc at Microsoft and a Research Fellow at the University of Cambridge. His research is at the intersection of medical imaging and artificial intelligence aiming to build computational tools for improving image-based detection and diagnosis of disease.

Prof. Aris Papageorghiou

Professor of Fetal Medicine and the Clinical Research Director of the Oxford Maternal and Perinatal Health Institute

Prof. Aris Papageorghiou

Professor of Fetal Medicine and the Clinical Research Director of the Oxford Maternal and Perinatal Health Institute

Biography: Aris is a Professor of Fetal Medicine and the Clinical Research Director of the Oxford Maternal and Perinatal Health Institute. He leads a number of research projects focused in the areas of maternal, fetal and perinatal health and using diverse methods - including basic science, clinical epidemiology, trials, knowledge transfer and implementation science. A major research interests is the use of artificial intelligence (AI) in pregnancy imaging and screening, and for several years he has worked with biomedical engineers on these problems. Through this work, Aris co-founded the Oxford University spin-out, Intelligent Ultrasound.

Important Dates

Submission System Opens January 2021 (Open now)
Paper Submission Deadline 28th March 2021
Author Notification (Regular Papers) 4th May 2021
Camera-ready regular papers due 14th May 2021
Conference Abstract Submission deadline 31st May 2021
Author Notification (Conference Abstracts) 15th June 2021
Camera-ready conference abstracts due 22nd June 2021
Conference 12th - 14th July 2021

Call for Papers / Author Instructions

Consent for Publication
All accepted papers must fill and submit the cosent to publish form. Please download and submit to CMT.

You are invited to submit your abstract paper to MIUA 2021 which will be held in Oxford, UK. The abstract paper submission system is now open.

The full paper submission deadline will be 23:59, Greenwich Mean Time (GMT), on 28th March 2021.

The abstract paper submission deadline will be 23:59, Greenwich Mean Time (GMT), on 31st May 2021.

High-quality papers are requested, containing original contributions to the topics within the scope of MIUA.

Paper Submissions:
For the 25th MIUA conference, we welcome submissions, as regular conference papers and conference abstracts.

Regular papers: Authors are invited to submit full papers of length between 8 and 15 pages (1 column – the LNCS template) showing original research contributions under the topics of the conference. All submissions will be double-blind peer-reviewed and accepted articles will be published as MIUA Proceedings by the Springer Publishing Group.

Conference abstracts: Authors are invited to submit short papers of length up to 3 pages excluding references (1 column – the LNCS template) showing proof-of-concept research contributions under the topics of the conference. All submissions will be peer-reviewed and accepted articles will be published as MIUA Abstract Proceedings on the MIUA website.

Accepted papers will be published in the MIUA proceedings in the Springer LNCS Series. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 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.

Review Process
MIUA seeks your assistance as an expert reviewer for this annual conference. If you would like to review for MIUA, please contact us via: miua2021(at)eng.ox.ac.uk or twitter @miua2021. Please share this CfP with colleagues who might want to contribute to MIUA2021.

Our Sponsors

We gratefully acknowledge the generous support provided by the following patrons:

MathWorks

Premium Sponsorship

Brainomix

Basic Sponsorship

Journal of Imaging

Basic Sponsorship

Oxford University Innovation

Awards

We gratefully acknowledge the generous support provided by the following patrons to sponsor the following awards:

IET

Students best and runner up papers

NVIDIA

Best paper award

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

Mohammad Yaqub

Assistant Professor at MBZUAI (Abu Dhabi) and Research Fellow at NDCN (Oxford).

Mohammad Yaqub

MBZUAI, Abu Dhabi and NDCN, Oxford

Jianbo Jiao

Researcher at the Biomedical Image Analysis (BioMedIA) group and the Visual Geometry Group (VGG), Engineering SCience.

Jianbo
Jiao

IBME & VGG, Oxford

Ana Namburete

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

Ana
Namburete

IBME, Oxford

Alison Noble

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

Alison
Noble

IBME, Oxford

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

miua2021@eng.ox.ac.uk

@miua2021


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