28th UK Conference on
Medical Image Understanding and Analysis - MIUA
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 and Simulation | Positron Emission Imaging | Ophthalmology | Optical Imaging |
Radiology | Texture Analysis | Tissue Perfusion | Ultrasound |
Prices
Early Bird Rates End 15th June 2024
Early Bird Non-Student | £395 |
Early Bird Student | £250 |
Student | £295 |
Non-Student | £450 |
Single Day ticket | £150 |
Extra Conference Dinner Ticket | £65 |
Accommodation
If you are attending the MIUA Conference and need accommodation, Manchester Met is offering a brilliant package in Archway Halls:
- 3 night stay for £150 (23rd July check in).
- 2 night stay for £100. (24th July check in).
- Single Ensuite rooms with communal living / kitchen space.
- Linen / Towels / Toiletries included.
- No food included.
Keynote Speakers
Prof. Alejandro Frangi
FREng
Director of Christabel Pankhurst Institute, Bicentennial Turing Chair in Computational Medicine, University of Manchester
Prof. Alejandro Frangi
FREng
Director of Christabel Pankhurst Institute, Bicentennial Turing Chair in Computational Medicine, University of Manchester
Prof. Emma MacPherson
Professor, Department of Physics, University of Warwick
Prof. Emma MacPherson
Professor, Department of Physics, University of Warwick
Prof. Carola-Bibiane Schönlieb
Professor of Applied Mathematics, Head of the Cambridge Image Analysis group, University of Cambridge
Prof. Carola-Bibiane Schönlieb
Professor of Applied Mathematics, Head of the Cambridge Image Analysis group, University of Cambridge
Plenary Session
Panel discussion: "Translating Medical Imaging into Clinical Practice"
Date/Time: 25th July 2024, 16:00.
The primary aim of this plenary session is to foster networking, brainstorming, and developing
working relationships, particularly between clinicians, industries and academia through a
light-hearted panel discussion. The discussion will be co-led by Prof. Alejandro Frangi and
Prof. Carola-Bibiane Schönlieb, and other panel members from Health Innovation Manchester,
The Northwest Secure Data Environment, and more to follow.
If you're interested, please contact the Co-ordinator:
Dr. Nashid Alam.
Important Dates
All dates have a local deadline time of 11:59 GMT
Special Session Deadline | 08 December 2023 |
Paper Submission Deadline | |
Author Notification (Regular Papers) | 08 May 2024 |
Camera-ready regular papers due | 09 June 2024 |
Conference Abstract Submission deadline | 15 May 2024 |
Author Notification (Conference Abstracts) | 31 May 2024 |
Camera-ready conference abstracts due | 22 June 2024 |
Conference | 24 - 26 July 2024 |
Call for papers
You are invited to submit high quality papers containing original contributions to knowledge in the topics suited to the MIUA 2024 conference held in Manchester Metropolitan University. MIUA papers will be published in the Lecture Notes in Computer Science (LNCS) proceedings volume. Additionally we welcome the submission of abstract papers.
The full paper submission deadline will be 11:59, Greenwich Mean
Time (GMT), on 31st March
15th April 2024.
The abstract paper submission deadline will be 11:59, Greenwich Mean Time (GMT), on 15th May 2024.
Paper Submissions:
For the 28th 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, word , latex, overleaf ) and following the Springer Author Guidelines, 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. Supplementary Material: Authors are permitted to submit supplementary material with their papers in occordance with : LNCS
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 abstract will be published as e-book in Frontiers in Medical Technology.
Abstract format
The word and character limits per abstract are as follows:
-Title: 500 character
-Text: 1,000 words
-Figures: 2
-No Supplementary Material
-A template is available here
MIUA continues to foster fairness, diversity, and inclusion within its community. Submissions from typically underrepresented groups are particularly encouraged.
Submission is now open click here to submit .
Review Process
MIUA seeks your assistance as an expert reviewer for this annual conference. If you
would like to review for MIUA, please contact Moi Hoon Yap at m.yap@mmu.ac.uk. We may
ask authors who submit to help with the review process.
Challenge Track
Diabetic Foot Ulcer Challenge
Challenge rules
Participation policy:
- Each individual or collaborating team (Maximum 5 people per team) agrees to create one single account for participating in this challenge.
- If external data is used, it must be made publicly available for other teams to use.
- Only fully automatic algorithms are allowed and code and final model must be shared publicly for reproducibility.
- The submission(s) must be submitted between 1st March 2024 – 30th April 2024 on Live Leaderboard on each grant challenge system.
- All participants must submit a paper (following MIUA 2024 paper submission guidelines) to the “Challenge” track on the MIUA submission system: https://cmt3.research.microsoft.com/MIUA2024
- All accepted papers must be presented in MIUA 2024 Conference.
Awards
There are three categories for the challenge:- DFUC 2020 (Detection): https://dfu2020.grand-challenge.org
- DFUC 2021 (Classification): https://dfu-2021.grand-challenge.org
- DFUC 2022 (Segmentation): https://dfuc2022.grand-challenge.org
An award of £500 will be rewarded to the winner (Top score only) of each category for participant who follows the participation policy and presented the work in MIUA 2024. The winners must achieve better score than the results on current Live Leaderboard.
Datasets
Please follow the link and instructions in the form to request for the datasets. Applications do not follow the instructions will be rejected automatically.
MIUA 2024 Challenge Tracks sponsored by:
Accepted Special Sessions
- Machine
Learning in Endoscopy (EndoML)
led by: Prof. Bogdan Matuszewski. - Enhancing
Low-Quality Medical Images: Theory and Methods
led by Prof. Haiyan Jin - Beyond
Boundaries: Interdisciplinary Perspectives on Vision,Language, and
Ethical Considerations in AI-driven Clinical Diagnosis and Early
Detection
led by Marcello Trovati. - Magnetic
Resonance and Ultrasound Imaging for Neuromuscular
and Musculoskeletal Health Monitoring
led by Prof. Emma Hodson-Tole. - Medical
Images and Computational Models
led by Dr. Jiling Feng. - The
Alignment Problem in Medicine
led by Prof. Harald Kittler. - Recent
Advances in Computational Pathology
led by Dr. Adam Shephard. - Artificial
Intelligence in Dental Radiology
led by Dr. Haider Raza. - How
much confidence can you have in your images?
Led by Dr. Matt Cashmore. - Foundational
Models for Breast Image Analysis
led by Dr. Michal Byra.
MIUA Doctoral Community
The 2024 MIUA conference is excited to announce the inclusion of a Doctoral
Community in Medical Image Understanding and AI, welcoming students from across
the globe to join and share their ideas and experiences. This initiative offers
two significant benefits:
- Firstly, students will have the invaluable opportunity to learn about
the work of their peers, facilitating collaboration and mutual assistance
for those tackling similar research topics
-
Secondly, participants can leverage each other's experiences to navigate
challenges and overcome obstacles encountered during their doctoral studies.
Additionally, master's students planning to pursue a PhD are encouraged to join,
benefitting
from mentorship and guidance from both peers and postdoctoral researchers. Moreover,
postdoctoral
researchers are invited to participate, providing valuable mentorship and enriching
the collective
knowledge base of the community. By fostering a supportive environment for knowledge
exchange,
this platform aims to enrich the academic journey of aspiring researchers in the
field of medical
image understanding and artificial intelligence.
Please join the community by filling in this questionnaire: https://forms.gle/VV58P4YDEsvzxweP8
Sponsors
Gold
Silver
Best Paper Award Sponsor
Best Poster Award Sponsor (2 Awards)
Student Hardship Fund Sponsors
We wish to encourage sponsorship to MIUA 2024, and provide 4 tiers of sponsorship:
- Platinum: £3500+VAT
- Gold: £2000+VAT
- Silver: £1000+VAT
- Bronze: £500+VAT
Please find the full sponsorship package details below:
Organising Committee
The Chairs are comprised of academic members from Manchester Metropolitan University, University of Manchester and Aberystwyth University.
Chairs:
Moi Hoon Yap
Moi Hoon Yap
Manchester Metropolitan University
Timothy Cootes
Timothy Cootes
University of Manchester
Reyer Zwiggelaar
Reyer Zwiggelaar
Aberystwyth University
Neil Reeves
Neil Reeves
Manchester Metropolitan University
Committee:
Program Chairs
Connah Kendrick
Connah Kendrick
Manchester Metropolitan University
Tingting Mu
Tingting Mu
University of Manchester
Ardhendu Behera
Ardhendu Behera
Edge Hill University
Cory Thomas
Cory Thomas
Aberystwyth University
Publicity Chairs
Adrian Davison
Adrian Davison
Manchester Metropolitan University
Joanna Jaworek-Korjakowska
Joanna Jaworek-Korjakowska
AGH University of Science and Technology, Poland
Xia Cui
Xia Cui
Manchester Metropolitan University
Nashid Alam
Nashid Alam
Manchester Metropolitan University
Special Sessions Chairs
Sean Maudsley-Barton
Sean Maudsley-Barton
Manchester Metropolitan University
Jiling Feng
Jiling Feng
Manchester Metropolitan University
Muhammad Aslam
Muhammad Aslam
Aberystwyth University
Social Media Chairs
Guang Yang
Guang Yang
Imperial College London
John Henry
John Henry
Manchester Metropolitan University
Yamin Li
Yamin Li
Hubei University, China
Sponsor Chairs
Mohammad Yaqub
Mohammad Yaqub
University of Oxford
Xi Guo
Xi Guo
Birmingham City University
Wenqi Lu
Wenqi Lu
Manchester Metropolitan University
Doctoral Community:
Dimitrios Statharas
Dimitrios Statharas
University of Leicester
Guobin Li
Guobin Li
Aberystwyth University
Mahsa Pourhossein Kalashami
Mahsa Pourhossein Kalashami
University of Leicester
Sakib Ahammed
Sakib Ahammed
Manchester Metropolitan University
Local Organising Committee:
Darren Dancey
Darren Dancey
Manchester Metropolitan University
Nicholas Costen
Nicholas Costen
Manchester Metropolitan University
Yonghong Peng
Yonghong Peng
Manchester Metropolitan University
Raja Ebsim
Raja Ebsim
University of Manchester
Contact Us
For further information, please contact us via email and we will get back to you as soon as we can.
Department of Computing and Mathematics
Manchester
Metropolitan University
John Dalton Building, Chester Street, Manchester
United Kingdom M1 5GD