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Medical Image Analysis experts shared insights and experiences at Holloway Campus

Date: 11 February 2025

London Met academic Cefa Karaba臒 collaborated with Lavdie Rada from Bah莽e艧ehir University in 陌stanbul, supported by the Academy of Medical Sciences Networking Grants of the (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鈥檚 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 T眉rkiye and the UK.

This event featured four sessions, chaired by Prapa Rattadilok, Nuray S枚臒眉nmez Erdo臒an, 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 Karaba臒, School of Computing and Digital Media at London Met, commented: 鈥淢any academics from prestigious universities presented their research for the first time at London Met, the first of many I鈥檓 sure! It was a great networking opportunity for staff and students from both schools to interact with experts from different institutions. It鈥檚 a real source of pride to see so many good ideas shared and real connections made with peers.鈥�

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 Bah莽e艧ehir University, City St George鈥檚, University of London, The Francis Crick Institute, Imperial College London, Institute for Cancer Research, 陌zmir 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 鈥淢odels in Biomedical Image Analysis鈥� 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 鈥楶romoting Reproducibility in Biomedical Research through Image Analysis鈥�, 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 脺nay, an academic from the Department of Electrical and Electronics Engineering, Faculty of Engineering at 陌zmir Democracy University and the co-founder of Zoi Data, gave a talk on 鈥楩rom Nano to Macro: Automated Biomedical Image Analysis Solutions鈥� focusing on the analyses of dendritic spines (two-photon microscopy), wound healing & cell motility assays (phase-contrast microscopy), brain MR 鈥� prostate MR 鈥� lung CT images, and organ-on-chip images.

The event covered topics to address 鈥楽urge in Medical Data Through Collaboration and Innovation鈥� and included the following topic streams:

• 鈥楤uilding a Platform for Integrative Discovery and Diagnostics in Cancer鈥� by Ferran Cardoso Rodriguez from The Institute of Cancer Research & Royal Marsden Trust
• 鈥楢 comparative study of fibre tracing in biomedical images鈥� by Youssef Arafat from City St George鈥檚, University of London
• 鈥楧ecoding Cellular Spatial Profiles: Advancing Sparse Regression for Precision Mapping鈥� by Nuray S枚臒眉nmez Erdo臒an from Kadir Has University
• 鈥楧issection of histopathological analytic workflow and its spatial relevance in breast cancer progression鈥� by Priya Narayanan from The Institute of Cancer Research
• 鈥楢I in Cardiology Research鈥� by Jos茅 Alonso Sol铆s-Lemus from Imperial College London
• 鈥楩at-U-Net: non-contracting U-Net for free-space optical neural networks鈥� by Riad Ibadulla from City St George鈥檚, University of London
• 鈥楢ssessment of the Risks of Developing Dangerous Conditions based on Hybrid AI鈥� by Vassil Vassilev from London Metropolitan University
• 鈥楳orphological Analysis of HeLa Cells and their Mitochondria under Electron Microscopy鈥� by Daniel-Antonio Brito-Pacheco from City St George鈥檚, 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.