Medical Image Analysis experts shared insights and experiences at Holloway Campus
Date: 11 February 2025
London Met academic Cefa Karabağ collaborated with Lavdie Rada from Bahçeşehir University in İstanbul, supported by the Academy of Medical Sciences Networking Grants of the International Science Partnerships Fund (ISPF), to launch a networking event on campus.
The event targeted research in theory and applications providing a forum for the members of the Medical Image community. The aim was to provide opportunity for London Met’s School of Computing and Digital Media and School of Human Sciences staff to collaborate with data-collection specialists, image-processing experts, and machine learning researchers from other institutions and universities both in Türkiye and the UK.
This event featured four sessions, chaired by Prapa Rattadilok, Nuray Söğünmez Erdoğan, Constantino Carlos Reyes-Aldasoro, and Lavdie Rada respectively, aimed to address ongoing research obstacles that require automated solutions. The goal was to exploit collective expertise and gather different ideas on cutting-edge automated data analysis through image processing and machine learning techniques.
Cefa Karabağ, School of Computing and Digital Media at London Met, commented: “Many academics from prestigious universities presented their research for the first time at London Met, the first of many I’m sure! It was a great networking opportunity for staff and students from both schools to interact with experts from different institutions. It’s a real source of pride to see so many good ideas shared and real connections made with peers.”
Through networking meetings, researchers work on how to empower accurate detection, annotation, and segmentation of images obtained in laboratory settings. By bridging the gap between domain-specific knowledge and advanced computational methodologies, the team aspires to enhance medical and biomedical data analysis, thereby advancing healthcare and scientific research.
Participants and presenters included academics from prestigious institutions such as Bahçeşehir University, City St George’s, University of London, The Francis Crick Institute, Imperial College London, Institute for Cancer Research, İzmir Democracy University, Kadir Has University, London Metropolitan University, and Royal Marsden Trust.
Impactful keynotes
The event offered three keynote talks explaining the importance and greater advances of the field. The topics covered in the sessions were highly representative of the key interests of the Medical Image community of today such as AI in Cardiology Research, Deep Learning in Medical Imaging, Segmentation in Medical Images, and Application of Medical Image Analysis.
Invited speakers presented the following talks:
- Constantino Carlos Reyes-Aldasoro, an academic from the Department of Computer Science, School of Science and Technology at City St Georges, University of London, talked about “Models in Biomedical Image Analysis” and shared some experiences of an engineer immersed in the world of biology and cancer where we sometimes share words with completely different meanings, like "model"
- Dave Barry, an image analyst and Deputy Head of the Crick Advanced Light Microscopy Science Technology Platform, presented ‘Promoting Reproducibility in Biomedical Research through Image Analysis’, focusing on the challenge of analysing large volumes of image data effectively and its negative impacts on both research reproducibility and efficiency, as researchers frequently rely on manual or semi-automated analysis methods
- Devrim Ünay, an academic from the Department of Electrical and Electronics Engineering, Faculty of Engineering at İzmir Democracy University and the co-founder of Zoi Data, gave a talk on ‘From Nano to Macro: Automated Biomedical Image Analysis Solutions’ focusing on the analyses of dendritic spines (two-photon microscopy), wound healing & cell motility assays (phase-contrast microscopy), brain MR – prostate MR – lung CT images, and organ-on-chip images.
The event covered topics to address ‘Surge in Medical Data Through Collaboration and Innovation’ and included the following topic streams:
- ‘Building a Platform for Integrative Discovery and Diagnostics in Cancer’ by Ferran Cardoso Rodriguez from The Institute of Cancer Research & Royal Marsden Trust
- ‘A comparative study of fibre tracing in biomedical images’ by Youssef Arafat from City St George’s, University of London
- ‘Decoding Cellular Spatial Profiles: Advancing Sparse Regression for Precision Mapping’ by Nuray Söğünmez Erdoğan from Kadir Has University
- ‘Dissection of histopathological analytic workflow and its spatial relevance in breast cancer progression’ by Priya Narayanan from The Institute of Cancer Research
- ‘AI in Cardiology Research’ by José Alonso Solís-Lemus from Imperial College London
- ‘Fat-U-Net: non-contracting U-Net for free-space optical neural networks’ by Riad Ibadulla from City St George’s, University of London
- ‘Assessment of the Risks of Developing Dangerous Conditions based on Hybrid AI’ by Vassil Vassilev from London Metropolitan University
- ‘Morphological Analysis of HeLa Cells and their Mitochondria under Electron Microscopy’ by Daniel-Antonio Brito-Pacheco from City St George’s, University of London
The event was a success, a memorable experience academically for School of Computing and Digital Media and School of Human Sciences staff and students.
After months of challenging work with the satisfaction of a job well done, the organisers are now starting to work on the international conference focusing on the best and the latest research of the Medical Image Analysis.
Participants and presenters included academics from prestigious institutions
