26th UK Conference on
Medical Image Understanding and Analysis
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. 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
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:
Partnership
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.
Chairs:
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
1Christina Runkel
University of Cambridge
WiMIUA Workshop
Women in MIUA (WiMIUA) is a workshop within the MIUA conference. For more information, please visit:
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
gateway@newton.ac.uk
@miua2022