26th UK Conference on
Medical Image Understanding and Analysis
27 - 29 July 2022
Centre for Mathematical Sciences, Wilberforce Rd, Cambridge CB3 0WA
University of Cambridge
Learn MoreImportant 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 |
Venue
Centre for Mathematical Sciences, Wilberforce Rd, Cambridge CB3 0WA
Registration
Registration Fees
Earlybird full standard registration | £390 |
Earlybird 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 standard/student registration) |
Registration has been closed for in-person attendance. Only virtual registraion is still open.
Registration Here
* Earlybird full registration by 17th June 2022 (extended to 24th June 2022) .
* Full registration fee includes gala dinner, refreshments and lunch for the duration of the event.
* Day registration includes refreshments and lunch for the duration of the event.
* WiMIUA is included in full standard/student registration. (£50 extra will be charged for gala dinner for late registrations)
* Low and Middle Income Countries
Accommodation
* We have limited pre-booked accommodation for student participants, please contact Ms Claire Bonner (c.bonner@newton.ac.uk) to book. Please notice that these accommodations will be paid by the participants.
* We also recommend the following accommodations:
Murray Edwards College
Churchill College
St Johns College
St Catherine’s College
* As organisers, we accept no responsibility for these services.
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).
Conference Proceedings
Thanks to Springer, our LNCS will be free-access for one month!
MIUA 2022 Conference Programme
WiMIUA Workshop
Women in MIUA (WiMIUA) is a workshop within the MIUA conference. For more information, please visit:
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 |
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)
Our sponsor Frontiers has published this special issue:
Frontiers Special Issue
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.
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
Christina Runkel
University of Cambridge
Lipei Zhang
Lipei Zhang
University of Cambridge
Chaoyu Liu
Chaoyu Liu
The Hong Kong Polytechnic University
Yanqi Chen
Yanqi Cheng
University of Cambridge
Zhongying Deng
Zhongying Deng
University of Surrey
Sam Cheng
Sam Cheng
City University of Hong Kong
Jiahao Huang
Jiahao Huang
Imperial College London
Iman Somi
Iman Somi
University of Cambridge
List of Meta Reviewers
Angelica Aviles-Rivero, University of Cambridge
Lei Zhu, The Hong Kong University of Science and Technology (Guangzhou)
Shujun Wang, University of Cambridge
Xi Wang, Stanford University
Yingying Fang, Imperial College London
List of Emergency Reviewers
Ander Biguri, University of Cambridge
Anna Breger, University of Cambridge
Chaoyan Huang, The Chinese University of Hong Kong
Fuying Wang, University of Hong Kong
Hokshing Wong, The Chinese University of Hong Kong
Jialu Li, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Jing Zou, The Hong Kong Polytechnic University
Lihao Liu, University of Cambridge
Michael Roberts, University of Cambridge
Simone Saitta, Politecnico di Milano, Imperial College London
Weiqin Zhao, University of Hong Kong
Xiaodan Xing, Imperial College London
Yang Nan, Imperial College London
Yang Xin, Shenzhen University
Yuan Huang, University of Cambridge
Yunlu Yan, Harbin Institute of Technology, Shenzhen
Zhihao Chen, Tianjin University
List of Reviewers
Adrian Galdran, Universitat Pompeu Fabra
Alaa Bessadok, University of Sousse
Ali Karaali, Trinity College Dublin
Amaya Gallagher-Syed DERI, Queen Mary University of London
Ander Biguri, University of Cambridge
Anna Breger, University of Cambridge
Aras Asaad, The University of Buckingham
Carlos Moreno-Garcia, Robert Gordon University
Cesar Veiga, Instituto de Investigacion Sanitaria Galicia Sur (IISGS)
Chaoyan Huang, Nanjing University of Posts and Telecommunications
Charalambos Rossides, Radii Devices
Cheng Xue, The Chinese University of Hong Kong
Chenyu You, Yale University
Cian Scannell, King's College London
Cohen Ethan, Ecole Normale Supérieur
Constantino Reyes-aldasoro, City, University of London
Damian Farnell, Cardiff University
David Rodriguez Gonzalez, CSIC
Elena Loli Piccolomini, University of Bologna
Francisco Lopez-Tiro, Tecnológico de Monterrey
Fuying Wang, Carnegie Mellon University
Gilberto Ochoa-Ruiz, Tec de Monterrey
Giovanna Dimitri, University of Siena
Hok Shing Wong, The Chinese University of Hong Kong
Jaidip Jagtap, Mayo Clinic
Jason Dou, University of Pittsburgh
Jiahao Huang, Imperial College London
Jialu Li, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Jinah Park, KAIST
Jing Zou, The Hong Kong Polytechnic University
Jorge Novo, University of A Coruña
Juan Arribas, Electrical Engineering Dep.Univ. Valladolid
Krassimira Ivanova, Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences
Larbi Boubchir, University of Paris 8
Laurent Cohen, University Paris Dauphine
Lei Qi, Iowa State Univesity
Lei Zhu, The Hong Kong University of Science and Technology (Guangzhou)
Lihao Liu, University of Cambridge
Linde Hesse, University of Oxford
Michael Tanzer, Imperial College London
Mike Roberts, University of Cambridge
Ming Li, Imperial College London
Neda Azarmehr, The University of Sheffield
Nicolas Basty, University of Westminster
Omnia Alwazzan, Queen Mary University of London
Pablo Tahoces, Universidad de Santiago de Compostela
Qiangqiang Gu, Mayo Clinic
Rakkrit Duangsoithong, Prince of Songkla University
Rihuan Ke, University of Cambridge
Said Pertuz, Universidad Industrial de Santander
Sarah Lee, Amallis Consulting
Shujun Wang, University of Cambridge
Simone Saitta, Politecnico di Milano
Sungho Hwang, Korea University
Timothy Cootes, University of Manchester
Tryphon Lambrou, University of Aberdeen
Veronika Cheplygina, ITU
Victor Gonzalez, Universidad de León
Weiqin Zhao, Department of Statistics and Actuarial Science, The University of Hong Kong
Weiwei Zong, University of Michigan
Xiaodan Xing, Imperial College London
Xiaohui Zhang, University of Illinois Urbana-Champaign
Xin Yang, The Chinese University of Hong Kong
Xujiong Ye, University of Lincoln
Xurui Jin, Mindrank AI
Yang Nan, Imperial College London
yann gavet, Mines Saint-Etienne
Yanwu Xu, Baidu Inc
Yashbir Singh, Mayo Clinic
Yijun Yang, Shandong University
Yingying Fang, Imperial College London
Yitian Zhao, Cixi Institute of Biomedical Engineering, NIIT, Chinese Academy of Sciences
Yongwon Cho, Asan medical center
Yuan Huang, EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging
Yunlu Yan, Harbin Institute of Technology, Shenzhen
Zakaria Belhachmi, Université Haute-Alsace
Zhihao Chen, College of Intelligence and Computing, Tianjin University
Our Sponsors
We gratefully acknowledge the generous support provided by the following patrons:
Partnership
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