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 More

Media

MIUA Introduction Video

MIUA Twitter Thread

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

Venue

Centre for Mathematical Sciences, Wilberforce Rd, Cambridge CB3 0WA

Click the link to view from google map

Conference Progrmme >

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).

Abstract Tracks

MIUA 2022 Abstract Track Online Proceedings!

Online Proceeding

Conference Proceedings

Thanks to Springer, our LNCS will be free-access for one month!

Conference Proceedings

MIUA 2022 Conference Programme

PDF version of MIUA 2022 Conference Programme

Conference Progrmme >
Conference Progrmme
Conference Progrmme
Conference Progrmme
Conference Progrmme >
Conference Progrmme >
Conference Progrmme >

WiMIUA Workshop

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

WiMIUA Workshop

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:

Aiforia
nvidia
microsoft
mathwork
IET
Aiforia
Frontiers
MDPI

 

Partnership

CMIH

 

CMIH

 

INI

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


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