26th UK Conference on

Medical Image Understanding and Analysis

27 - 29 July 2022

University of Cambridge

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MIUA Introduction Video

MIUA Twitter Thread


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. MIUA covers many topics in medical imaging including:

Biomarker Discovery Brain Imaging Cancer Cardiac Imaging
Circulation and Microcirculation Computational anatomy and physiology Computed Tomography Deep Learning
Dermatology Image Interpretation Image Guided Intervention Image Physics
In-Vivo Intravital Imaging Inflammation Machine Learning Magnetic Resonance Imaging
Microscopy Multi Modal Image Analysis Neurology Novel Imaging Methods
Perception Modelling & Simulation Positron Emission Imaging Ophthalmology Optical Imaging
Radiology Texture Analysis Tissue Perfusion Ultrasound


Registration Fees

Full registration £390*
Full student registration £210*
Virtual registration £150 (£75 for Low and Middle Income Countries**)
One day registration £150
WiMIUA £20 (virtual participants will be free of charge and WiMIUA is included in full/full student registration)

* early registration by 31st May 2022 will include a free gala dinner (£50 extra will be charged for gala dinner for late registrations)
** Low and Middle Income Countries

Keynote Speakers

Prof. Alejandro Frangi

Diamond Jubilee Chair in Computational Medicine at the University of Leeds

Prof. Alejandro Frangi

Diamond Jubilee Chair in Computational Medicine at the University of Leeds

Biography: Professor Frangi is Diamond Jubilee Chair in Computational Medicine and Royal Academy of Engineering Chair in Emerging Technologies at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He directs the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He is Turing Fellow of the Alan Turing Institute. Prof. Frangi is the Scientific Director of the Leeds Centre for HealthTech Innovation and Director of Research and Innovation of the Leeds Institute for Data Analytics.

Prof. Polina Golland

Professor of EECS and principal investigator in the CSAIL at MIT

Prof. Polina Golland

Professor of Electrical Engineering and Computer Science (EECS) and principal investigator in the CSAIL at MIT

Biography: Professor Polina Golland is a Henry Ellis Warren (1894) professor of Electrical Engineering and Computer Science (EECS) and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Her primary research interest is in developing novel techniques for biomedical image analysis and understanding. She particularly enjoys working on algorithms that either explore the geometry of the world and the imaging process in a new way or improve image-based inference through statistical modeling of the image data. She is interested in shape modeling and representation, predictive modeling and visualization of statistical models. Her current research focuses on developing statistical analysis methods for characterization of biological processes based on image information. In this domain, She is interested in modeling biological shape and function, how they relate to each other and vary across individuals.

Prof. Sotirios Tsaftaris

Chair (Full Professor) in Machine Learning and Computer Vision at the University of Edinburgh

Prof. Sotirios Tsaftaris

Chair (Full Professor) in Machine Learning and Computer Vision at the University of Edinburgh

Biography: Prof. Sotirios Tsaftaris is currently with the University of Edinburgh and the Institute of Digital Communications as a Chair (Full Professor) in Machine Learning and Computer Vision. He holds the Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI. He is also a Fellow of the Alan Turing Institute. His research interests are machine learning, deep learning, medical image analysis (medical image computing), image processing, and distributed computing. Core research application domains are computer aided diagnosis in medicine and computer vision in agriculture (e.g. plant phenotyping, precision agriculture, agritech and indoor farming).

Important Dates

Submission System Opens January 2022
Expression of Interest for Full Paper Submission 5th April 2022
Final Full Regular Paper Submission Deadline 15th April 2022 (No further extension)
Author Notification (Regular Papers) 20th May 2022 (Extended to 31st May 2022)
Camera-ready Regular Papers Due 31st May 2022
Conference Abstract Submission deadline 31st May 2022
Author Notification (Conference Abstracts) 15th June 2022
Camera-ready Conference Abstracts Due 22nd June 2022
Conference 27th - 29th July 2022

Special Issues

Selected extended papers will be invited for publication in two special issues in:

Computerized Medical Imaging and Graphics
Computerized Medical Imaging and Graphics

(impact factor: 4.790)

International Journal of Imaging Systems and Technology
International Journal of Imaging Systems and Technology

(impact factor: 2.000)

Call for Papers / Author Instructions

You are invited to submit your abstract paper to MIUA 2022 which will be held in Cambridge, UK. The abstract paper submission system is now open.

The full paper submission deadline will be 23:59, Greenwich Mean Time (GMT), on 15th April 2022 (No further extension).

The abstract paper submission deadline will be 23:59, Greenwich Mean Time (GMT), on 31st May 2022.

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

Paper Submissions:
For the 26th 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: gateway@newton.ac.uk or twitter @miua2022. Please share this CfP with colleagues who might want to contribute to MIUA2022.

Our Sponsors

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









Organising Committee

The Chairs are comprised of academic members from Cambridge Mathematics of Information in Healthcare Hub (CMIH) at the University of Cambridge and Imperial College London.


Angelica Aviles-Rivero
Angelica Aviles-Rivero

University of Cambridge

Michael Roberts
Michael Roberts

University of Cambridge

Carola-Bibiane Schönlieb
Carola-Bibiane Schönlieb

University of Cambridge

Guang Yang
Guang Yang

imperial college london


Local Organising Committee:

Claire Bonner
Claire Bonner

Newton Gateway to Mathematics

Clare Merritt
Clare Merritt

Newton Gateway to Mathematics

Josh Stevens
Josh Stevens

University of Cambridge

John Aston
John Aston

University of Cambridge


Local Volunteers:

Zhening Huang
Zhening Huang

University of Cambridge

Lihao Liu
Lihao Liu

University of Cambridge

Christina Runkel
Christina Runkel

University of Cambridge

WiMIUA Workshop

Women in MIUA (WiMIUA) is a workshop within the MIUA conference. For more information, please visit:

WiMIUA Workshop

List of Programme Committee

Giorgos Papanastasiou, Pfizer, Greece

Sotirios A. Tsaftaris, University of Edinburgh, UK

Lin Gu, RIKEN AIP, University of Tokyo, Japan

Zhangming Niu, MindRank, China-UK

Chunliang Wang, KTH Royal Institute of Technology, Sweden

Sivarama Krishan Rajaraman, NIH/NLM, USA

George Matsopoulos, National Technical University of Athens, Greece

David Rodriguez Gonzalez, University of Cantabria, Spain

Sammy Danso, University of Edinburgh

Xurui Jin, Duke Kunshan University, China-USA

Adrian Martín Fernández, Pompeu Fabra University, Spain

Eirini Christinaki, KU Leuven, Belgium

Oscar Jiménez del Toro, University of Applied Sciences Western Switzerland, Switzerland

Rakkrit Duangsoithong, Prince of Songkla University, Thailand

Juan Ignacio Arribas, University of Valladolid, Spain

Zakaria Belhachmi, Université Haute-Alsace, France

Leonardo Bocchi, University of Florence, Italy

Gunilla Borgefors, Uppsala University, Sweden

Larbi Boubchir, University of Paris 8, France

Gloria Bueno, University of Castilla-La Mancha, Spain

Jorge Novo Buján, Universidade da Coruña, Spain

Maria J. Carreira, University of Santiago de Compostela, Spain

Nathan Cathill, Rochester Institute of Technology, USA

Laurent Cohen, Université Paris-Dauphine, France

Tim Cootes, University of Manchester, UK

Yingying Fang, Imperial College London, UK

María del Milagro Fernández-Carrobles, University of Castilla-La Mancha, Spain

Laura Fernández-Robles, University of León, Spain

Samuele Fiorini, University of Genova, Italy

Francesco Fontanella, University of Cassino and Southern Lazio, Italy

Yann Gavet, Ecole Nationale Supérieure des Mines, Saint-Etienne, France

Andrea Giachetti, University of Verona, Italy

Evgin Goceri, Akdeniz University, Turkey

Victor Gonzalez-Castro, University of León, Spain

Juan M. Górriz, University of Granada, Spain

Benjamin Gutierrez Becker, Ludwig Maximilian University, Germany

Jiahao Huang, Imperial College London, UK

Krassimira Ivanova, Bulgarian Academy of Sciences, Bulgaria

Tryphon Lambrou, University of Aberdeen, UK

Filip Malmberg, Uppsala University, Sweden

Bjoern Menze, Technical University of Munich, Germany

Majid Mirmehdi, University of Bristol, UK

Henning Müller, University of Applied Sciences and Arts of Western Switzerland (HES-SO), Switzerland

Tim Nattkemper, Bielefeld University, Germany

Ingela Nystrom, Uppsala University, Sweden

Marcos Ortega, University of Coruña, Spain

Jinah Park, KAIST, Korea

Elena Piccolomini, Università di Bologna, Italy

Yang Nan, Imperial College London, UK

Nasir Rajpoot, University of Warwick, UK

Javier Ramírez, University of Granada, Spain

Shan E. Ahmed Raza, Institute of Cancer Research, UK

Constantino Carlos Reyes-Aldasoro, City University London, UK

Pablo G. Tahoces, University of Santiago de Compostela, Spain

Maria Valdes-Hernandez, University of Edinburgh, UK

Cesar Veiga, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Spain

Xianghua Xie, Swansea University, UK

Yanwu Xu, Baidu Inc, China

Xujiong Ye, University of Lincoln, UK

Ming Li, Imperial College London, UK

Yitian Zhao, Chinese Academy of Sciences, China

Quincy Gu, Mayo Clinic College of Medicine and Science

Damian Farnell, Cardiff University, UK

Michael Tanzer, Imperial College London, UK

Jason Dou, Pittsburgh University, USA

Yashbir Singh, Mayo Clinic, USA

Jaidip Jagtap, Mayo Clinic, USA

Alessandro Bruno, Bournemouth University, UK

Yongkai Liu, University of California, Los Angeles, USA

Neda Azarmehr, University of Sheffield, UK

Linde Hesse, University of Oxford, UK

Ali Karaali, Trinity College Dublin, Ireland

Talha Qaiser, AstraZeneca, UK

Cristian Linte, Rochester Institute of Technology, USA

Carlos Moreno-García, Robert Gordon University, UK

Yongwon Cho, University Anam Hospital, Korea

Sung Ho Hwang, University Anam Hospital, Korea

Giovanna Maria Dimitri, University of Siena, Italy

Qi Lei, Change Healthcare, USA

Contact Us

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

Centre for Mathematical Sciences, University of Cambridge
Wilberforce Rd, Cambridge
United Kingdom CB3 0WA



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