MIUA - 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 and Simulation	Positron Emission Imaging	Ophthalmology	Optical Imaging
Radiology	Texture Analysis	Tissue Perfusion	Ultrasound

Registration

Registration now open!

Click here to register

Prices

Final date for participant registration: 14th July 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.

Click here to book your special rate accommodation.

Student Hardship Fund

Opportunity Alert: Student Hardship Fund Applications Open for MIUA2024, sponsored by Journal of Imaging and Electronics!

Calling all passionate students! We're excited to announce that applications are now open for the Student Hardship Fund for the upcoming MIUA2024 Conference, generously sponsored by Journal of Imaging and Electronics! At MIUA, we believe in nurturing talent and supporting students on their academic journey. We understand that financial constraints can sometimes stand in the way of attending conferences and accessing valuable learning opportunities. Thanks to the support of Journal of Imaging and Electronics, we're able to help two students facing financial hardship. Deadline for application is 15th June.

As a recipient of the Student Hardship Fund, you'll receive £250 for the student registration fee. Whether you're an undergraduate or graduate student, we invite you to seize this opportunity to expand your knowledge, connect with peers, and showcase your research at MIUA. Interested student please fill in the application form and send to W.Lu@mmu.ac.uk.

Let's break down barriers together and ensure that every student has the opportunity to thrive at MIUA 2024!

Application Form: download here.

Travel Information

Travelling to our campus couldn't be easier. The region is well served by motorways, and has good public transport. Manchester International Airport is just 10 miles (16km) south of the city centre, with fast and frequent rail travel to Manchester.

Our campus is close to Manchester's city centre. The routes most used by students are well served by public transport. There's a free shuttle bus that covers the city centre, linking the main railway stations, NCP car parks, and bus and Metrolink tram stops.

The campus is made up of two areas, Birley and All Saints. MIUA is hosted in the MMU Business School, which is part of the All Saints campus. Below is a campus map with red circles around the Business School location and arrows directing to the main entrance. The original campus map without annotations can be downloaded here.

Full travel information for MMU can be found here.

Conference Building Address:
Manchester Metropolitan University
Business School
Oxford Road
Manchester
M15 6BH

Car Parking:
If anyone requires parking, there are NCP car parks around campus:
Chester Steet - M1 5GE
Circle Square - M1 7ED
Boundary Lane - M15 6FD (please be aware that Boundary Lane only has a 10 space capacity).

Other car parks: Manchester Aquatics Centre - M13 9SS

Taxis:
Anyone needing to order a taxi, it is recommended to be picked up on Lower Chatham Street (Salutation Pub as reference), as Lower Ormond Street is now pedestrianised. The Business School reception can help delegates if you need assistance.

MIUA 2024 Programme

DAY 1 - July 24th

8:30 - 9:00am	Arrival (tea, coffee, and Danish pastry)
9:00 - 9:30am	Welcome Speech (G.27)
9:30 - 10:30am	Keynote Speaker: Prof. Alejandro Frangi (G.27)
	Title: On Trials and Tribulations - Safer, Faster, and More Sustainable Medical Devices for Better and More Equitable Care
	Session Chair: Adrian Davison
10:30 - 11:00am	Tea break and networking (Exhibition Atrium)
11:00 - 12:30pm	Oral Session 1: Advancement in Brain Imaging (G.27)
	Session Chairs: Xujiong Ye and Ewa Niewiadomska-Szynkiewicz
	Paper ID 27: Robust Multi-Modal Registration of Cerebral Vasculature
	Bertram Sabrowsky-Hirsch (RISC Software GmbH)*; Ahmed Alshenoudy (RISC Software GmbH); Josef Scharinger (JKU); Matthias Gmeiner (Kepler University Hospital); Stefan Thumfart (RISC Software GmbH); Michael Giretzlehner (RISC Software GmbH)
	Paper ID 43: Towards Segmenting Cerebral Arteries from Structural MRI
	Ahmed Alshenoudy (RISC Software GmbH)*; Bertram Sabrowsky-Hirsch (RISC Software GmbH); Josef Scharinger (JKU); Stefan Thumfart (RISC Software GmbH); Michael Giretzlehner (RISC Software GmbH)
	Paper ID 52: Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation
	Ben R Philps (University Of Edinburgh, School of Informatics, Biomedical AI CDT)*; María del C. Valdés Hernández (University of Edinburgh); Susana Munoz Maniega (University of Edinburgh); Mark Bastin (University of Edinburgh); Eleni Sakka (University of Edinburgh); Una Clancy (University of Edinburgh); Joanna Wardlaw (University of Edinburgh); Miguel Bernabeu (University of Edinburgh)
	Paper ID 54: Learning-based MRI Response Predictions from OCT Microvascular Models to Replace Simulation-based Frameworks
	Jaloliddin Rustamov (United Arab Emirates University); Zahiriddin Rustamov (United Arab Emirates University); Nadia Badawi (UAEU); Frederic Lesage (Polytechnique Montreal ); Nazar M Zaki (UAEU); Rafat Damseh (UAEU)*
	Paper ID 97: Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field
	Lan Jiang (University of Dundee); Yuchao Zheng (University of Dundee); Miao Yu (University of Dundee); Haiqing Zhang (University of Dundee); Fatemah Aladwani (University of Dundee); Alessandro Perelli (University of Dundee)*
	Paper ID 56: DeepDSMRI: Deep Domain Shift analyzer for MRI
	Rafsanjany Kushol (University of Alberta); Sanjay Kalra (University of Alberta); Herbert Yang (University of Alberta)*
12:30 - 1:30pm	Lunch and Networking (Dining Atrium)
1:30 - 3:00pm	Poster Session I: Brain Imaging, Medical Images and Computational Models (Exhibition Atrium)
	(Full Paper ID: 81, 34, 91, 30, 42, 99)
	(Abstract ID: 100, 109, 112, 117, 121, 133, 135, 138, 139, 58, 102, 104, 111, 114, 125)
	For the full list of posters, please refer to page 18 of the full programme.
3:00 - 3:30pm	Tea break and networking (Exhibition Atrium)
3:30 - 5:00pm	Oral session 2: Medical Images and Computational Models (G.27)
	Session Chairs: Jiling Feng and Baihua Li
	Paper ID 26: Micro-CT Imaging Techniques for Visualizing Pinniped Mystacial Pad Musculature
	Elizabeth Evans (University of Manchester); Alyx Elder (Manchester Metropolitan University)*
	Paper ID 35: SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
	Krithika Iyer (Scientific Computing and Imaging Institute, University of Utah)*; Jadie R Adams (Scientific Computing and Imaging Institute, University of Utah); Shireen Y. Elhabian (Scientific Computing and Imaging Institute, University of Utah)
	Paper ID 2: JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA
	Zeyu Zhang (The Australian National University)*; Xuyin Qi (The University of Adelaide); Mingxi Chen (Guangdong Technion Institute Of Technology); Guangxi Li (The University of Sydney); Ryan Pham (University of Adelaide); Ayub Qassim (Flinders University); Ella C Berry (Flinders University); Zhibin Liao (University of Adelaide); Owen Siggs (Garvan Institute of Medical Research); Robert A McLaughlin (University of Adelaide); Jamie Craig (Flinders University); Minh-Son To (Flinders University)
	Paper ID 98: Identification of skin diseases based on blind chromophore separation and artificial intelligence
	Mustapha Zokay (Laboratory of materials, signals and systems and physical modeling, Faculty of Sciences, Ibn Zohr University, Morocco)*; Hicham Saylani (Laboratory of Electronics, Signal Processing and Physical Modeling, Faculty of Sciences, Ibn Zohr University, Morocco)
	Paper ID 89: Generating Chest Radiology Report Findings using a Multimodal Method
	Chenyu Wang (University of Dundee); Vladimir Janjic (University of Dundee); Stephen J. McKenna (University of Dundee)*
	Paper ID 92: Image processing and machine learning techniques for Chagas disease detection and identification
	Lavdie Rada (Bahcesehir University)*; Inass Azzawi (Bahcesehir University); Preet Kumar (University of the West of England); Carlos Francisco Brito Loeza (University of Yukatan); Cefa Karabag (London Metropolitan University); Constantino Reyes-aldasoro (City, University of London)
6:00 - 7:00pm	Visit to the Institute of Sport (MRI)
	Coordinators: Indranath Chatterjee and Aneurin Kennerley. Please sign up below

7:00pm	Conference Reception (The Dalton Building)

DAY 2 - July 25th

8:30 - 9:00am	Arrival (tea, coffee, and Danish pastry)
9:00 - 10:30am	Oral Session 3(a) Recent Advances in Computational Pathology and Microscopy (G.27)
	Session Chairs: Adam Shephard and Simon Graham
	Paper ID 136: Streamlining Colon Biopsy Screening with Interpretable Machine Learning
	Quoc Dang Vu (Histofy Ltd); Navid Alemi (Histofy Ltd); Johnathan Pocock (Histofy Ltd); David Snead (Histofy Ltd); Nasir Rajpoot (Histofy Ltd); Simon Graham (Histofy Ltd)*
	1st Power Pitch Session
	Paper ID 62: GRU-Net: Gaussian attention aided dense skip connection based multiResU-Net for Breast Histopathology Image Segmentation
	Ayush Roy (Jadavapur University); Payel Pramanik (Jadavpur University); Soham Ghosal (IIITNR); Daria Valenkova (Saint Petersburg Electrotechnical University "LETI"); Dmitrii Kaplun (Saint Petersburg Electrotechnical University "LETI")*; Ram Sarkar (Jadavpur University)
	2nd Power Pitch Session
	Paper ID 75: Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations
	Nabeel Khalid (DFKI)*; Maria Caroprese (Sartorius, Digital Solutions, Royston); Gillian Lovell (Sartorius, BioAnalytics, Royston); Daniel A Porto (Sartorius, BioAnalytics, Ann Arbor); Johan Trygg (Sartorius Corporate Research); Andreas Dengel (DFKI GmbH); Sheraz Ahmed (DFKI)
	3rd Power Pitch Session
	Paper ID 17: RoTIR: Rotation-Equivariant Network and Transformers for Zebrafish Scale Image Registration
	Ruixiong Wang (University of Bristol)*; Alin Achim (University of Bristol); Renata Raele-Rolfe (University of Bristol); Qiao Tong (University of Bristol); Dylan Bergen (University of Bristol); Chrissy Hammond (University of Bristol); Stephen Cross (University of Bristol)
	4th Power Pitch Session
	For more details on the Power Pitch sessions, click here for details.
9:45 - 10:30am	Oral Session 3(b) Dental and Bone Imaging (G.35)
	Session Chairs: Haider Raza and Sean Maudsley-Barton
	Paper ID 66: Enhancing Cephalometric Landmark Detection with a Two-Stage Cascaded CNN on Multi-Resolution Multi-Modal Data
	Reeha Khan (National University of Sciences and Technology)*; Muhammad Anwaar Khalid (Air University); Kanwal Zulfiqar (Riphah International University); Ulfat Bashir (Riphah International University); Muhammad Moazam Fraz (National University of Sciences and Technology)
	Paper ID 48: Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration
	Mohsin Ali (School of Computer Science and Electronics Engineering, University of Essex)*; Moin Hassan (School of Computer Science and Electronic Engineering, University of Essex); Esra Kosan (Department of Periodontology, Oral Medicine and Oral Surgery, Berlin); John Q. Gan (School of Computer Science and Electronic Engineering, University of Essex); Haider Raza (School of Computer Science and Electronics Engineering, University of Essex); Akhilanada Chaurasia (Department of Oral Medicine and Radiology, King George's Medical University, Lucknow)
	Paper ID 20: 3D Bone Shape from CT-Scans Provides an Objective Measure of Osteoarthritis Severity: data from the IMI-APPROACH study
	James M Burlison (Imorphics); Michael Bowes (Stryker); Philip Conaghan (University of Leeds); Alan Brett (Stryker)*
10:30 - 11:00am	Tea break and networking (Exhibition Atrium)
11:00 - 12:00pm	Keynote Speaker: Prof. Carola-Bibiane Schönlieb
	Title: From variational modelling to deep learning for biomedical imaging
	Session Chair: Sean Maudsley-Barton
12:00 - 1:00pm	Poster Session II: Low-Quality Medical Images, Pathology, Microscopic, Dental and Bone Imaging (Exhibition Atrium)
	(Full paper ID: 74, 85, 78, 96, 29, 70, 73, 80, 82, 76, 83)
	(Abstract ID: 13, 105, 108, 118, 119, 129, 130, 134, 136)
	For the full list of posters, please refer to page 20 of the full programme.
1:00 - 2:00pm	Lunch and Networking (Dining Atrium)
2:00 - 3:30pm	Oral Session 4 (Parallel Sessions)
	4(a) Enhancing Low-Quality Medical Images (G.34)
	Session Chair: Haiyan Jin
	Paper ID 7: YOLO-TL Tiny Object Segmentation Framework for Low Quality Medical Images
	Yamin Li (Hubei University); Yu Duan (Hubei University); Liu Duan (Hubei University); Wen Xiang (Hubei University); Qifeng Wu (Hubei University)*
	Paper ID 40: Ultrasound Confidence Maps with Neural Implicit Representation
	Vahit Bugra Yesilkaynak (Technical University of Munich); Vanessa Gonzalez Duque (Ecole Centrale Nantes)*; Magdalena Gawlinska (TU Munich); Yordanka Velikova (Technical University of Munich); Diana Mateus (Centrale Nantes); Nassir Navab (TU Munich, Germany)
	Paper ID 36: Blurry Boundary Segmentation with Semantic-Aware Feature Learning
	Qiuyu Xiao (University of North Carolina at Chapel Hill); Dong Nie (UNC)*
	Paper ID 46: SA-GCN: Scale Adaptive Graph Convolutional Network for ASD Identification
	Jinbei Zhang (Tianjin University of Technology); Chao Jiang (Tianjin University of Technology); Jing Li (Tianjin University of Technology)*; Gaoxiang Ouyang (Beijing Normal University)
	Paper ID 57: Resolution-Invariant Medical Image Segmentation using Fourier Neural Operators
	Lu Liu (University); Raymond Veldhuis (University of Twente); Christoph Brune (University of Twente)*
	4(b) Machine Learning for Endoscopy (EndoML) (G.35)
	Session Chairs: Bogdan Matuszewski and Jorge Bernal del Nozal
	Invited Talk: Improving clinical decision making in gastrointestinal endoscopy: can machine learning help?
	James Turvill (York and Scarborough Teaching Hospitals NHS Foundation Trust)
	Paper ID 132: Polyp Segmentation Generalisability of Pretrained Backbones
	Edward Sanderson (University of Central Lancashire); Bogdan J Matuszewski (University of Central Lancashire)*
	Paper ID 124: Multi-Task SwinV2 Transformer for Polyp Classification and Segmentation
	Kerr F Fitzgerald (University of Central Lancashire)*; Bogdan J Matuszewski (University of Central Lancashire); Jorge Bernal (Computer Vision Center and Computer Science Department, Universitat Autònoma de Barcelona); Yael Tudela Barroso (Computer Vision Center and Computer Science Department, Universitat Autònoma de Barcelona)
	Paper ID 116: Automatic assessment of the degree of cleanliness in esophagogastroduodenoscopy images using EfficientNet-V2 network
	Neil De La Fuente (Computer Vision Center, Universitat Autonoma de Barcelona)*; Mireia Majó i Cornet (Computer Vision Center, Universitat Autonoma de Barcelona); Yael Tudela (Computer Vision Center, Universitat Autonoma de Barcelona); Irina Luzko (Endoscopy Unit, Gastroenterology Department, ICMDM, Hospital Clínic, Barcelona. Universitat de Barcelona. IDIBAPS. CIBEREHD); Henry Córdova (Endoscopy Unit, Gastroenterology Department, ICMDM, Hospital Clínic, Barcelona. Universitat de Barcelona. IDIBAPS. CIBEREHD); Gloria Fernández-Esparrach (Unidad Endoscopia Digestiva, Hospital Clinic, Barcelona); Jorge Bernal (Computer Vision Center and Computer Science Department, Universitat Autònoma de Barcelona)
	Paper ID 106: Counterfactuals: The impact of image properties on the quality of generated explanations in XAI
	Daniel Nguyen (Imperial College London); Ahmed E Fetit (Imperial College London); Kanwal Bhatia (Aival)*
	Paper ID 101: Toward Automated Small Bowel Capsule Endoscopy Reporting using a Summarizing Machine learning Algorithm: The SUM UP study
	Charles Houdeville (ENSEA)*; Marc Souchaud (ETIS UMR 8051); Romain Leenhardt (Sorbonne University, Center for Digestive Endoscopy, Saint-Antoine Hospital, APHP); Lia Golststein (Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen); Guillaume Velut (Sorbonne University, Center for Digestive Endoscopy, Saint-Antoine Hospital, APHP); Hanneke Beaumont (Department of Gastroenterology and Hepatology, Amsterdam University Medical Center, Amsterdam); Xavier Dray (Sorbonne University, Center for Digestive Endoscopy, Saint-Antoine Hospital, APHP); Aymeric Histace (ETIS)
3:30 - 4:00pm	Tea break and networking (Exhibition Atrium)
4:00 - 6:00pm	Plenary Discussion (G.27)
	Coordinator: Nashid Alam
7:00pm	Conference Dinner (Dining Atrium)

DAY 3 - July 26th

8:30 - 9:00am	Arrival (tea, coffee, and Danish pastry)
9:00 - 10:30am	Oral Session 5 Domain Adaptation and Generalisation (G.27)
	Session Chairs: Mohammad Yaqup and Michal Byra
	Paper ID 45: AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation
	Jay N Paranjape (Johns Hopkins University)*; Nithin Gopalakrishnan Nair (Johns Hopkins University); Shameema Sikder (Wilmer Eye Institute); Swaroop Vedula (The Johns Hopkins University); Vishal Patel (Johns Hopkins University)
	Paper ID 68: Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy
	Dalia Rodríguez-Salas (Friedrich-Alexander-Universität Erlangen-Nürnberg)*; Christian Riess (Friedrich-Alexander University Erlangen-Nuremberg); Celia Martin Vicario (Friedrich-Alexander-Universität Erlangen-Nürnberg); Oliver Taubmann (Siemens Healthineers); Hendrik Ditt (Siemens Healthineers); Stefan Schwab (FAU Erlangen-Nürnberg); Arnd Dörfler (Department of Neuroradiology, Friedrich-Alexander-Universität Erlangen-Nürnberg)
	Paper ID 22: Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss
	Jiahua Li (University of Oxford); Bartlomiej W Papiez (University of Oxford); Fergus V. Gleeson (University of Oxford); James T. Grist (University of Oxford)*
	Paper ID 25: Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences
	Jesse Phitidis (University of Edinburgh)*; Antanas Kascenas (Canon Medical Research Europe); María del C. Valdés Hernández (University of Edinburgh); William Whiteley (University of Edinburgh); Joanna Wardlaw (University of Edinburgh); Alison Q O'Neil (Canon Medical Research Europe)
	Paper ID 55: Prediction of total metabolic tumor volume from tissue-wise FDG-PET/CT projections, interpreted using cohort saliency analysis
	Sambit Tarai (Uppsala University)*; Elin Lundström (Uppsala University); Johan Öfverstedt (Uppsala University); Hanna Jönsson (Uppsala University); Nouman Ahmad (Uppsala University); Håkan Ahlström (Uppsala University); Joel Kullberg (Uppsala University)
10:30 - 11:00am	Tea break and networking (Exhibition Atrium)
11:00 - 12:00pm	Keynote Speaker: Prof. Emma MacPherson (G.27)
	Talk: In vivo terahertz sensing of human skin: the largest study to date
	Session Chair: Moi Hoon Yap
12:00 - 1:00pm	Poster Session III: Dermatology, Cardiac Imaging and Other Medical Imaging (Exhibition Atrium)
	(Full paper ID: 21, 50, 51, 37, 18, 28, 93, 64, 16, 15, 69, 71, 39)
	(Abstract ID: 95, 107, 122, 127)
	For the full list of posters, please refer to page 22 of the full programme.
1:00 - 2:00pm	Lunch and MIUA Doctoral Community Event (G.27)
2:00pm	Award Ceremony and Closing (G.27)

A document version of the programme can be downloaded here.

Keynote Speakers

Prof. Alejandro Frangi

FREng

Director of Christabel Pankhurst Institute, Bicentennial Turing Chair in Computational Medicine, University of Manchester

Profile

Prof. Emma MacPherson

Professor, Department of Physics, University of Warwick

Profile

Prof. Carola-Bibiane Schönlieb

Professor of Applied Mathematics, Head of the Cambridge Image Analysis group, University of Cambridge

Profile

Plenary Session

Panel discussion: "Translating Medical Imaging into Clinical Practice"

Date/Time: 25^th 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.

Live Questions: Please use the QR code below to submit your questions during the session.

Alternatively, join at:
vevox.app
ID: 148-626-141

For further information, please contact the Co-ordinator: Dr. Nashid Alam

Our distinguished panel of experts: