FREE WEBINAR: Building a trustworthy AI-driven European cancer imaging platform: Lessons from the EuCanImage project The 5-year EU-funded EuCanImage project is ending in September 2025. This FREE webinar will share key achievements and insights, including clinical use cases, the project’s approach to AI development, and how to access the EuCanImage platform and datasets.
The department of Radiology & Nuclear Medicine has published its yearly scientific report for 2024. This publication provides a nice overview of the scientific output of BIGR, as well as the other research groups in the Erasmus MC Department of Radiology & Nuclear Medicine. Interested? You can find the full report here.
Our imaging data infrastructure team is looking for a new Research Software Engineer! In this position, you will join a team of RSEs working on image storage for large European collaborations. In particular, you will develop advanced tooling for structured medical image data storage and medical image viewer software to accelerate AI-research in radiology.
The canSERV consortium releases their 4th, and final, open call: Open Call for Transnational Service Provision. As Imaging Office we are one of the service providers of canSERV with our Image Analysis and Image Storage services. Now, what does this mean? Projects from outside of the Erasmus MC (can be on a national level, can be on a European level) can apply for this call, and if accepted, make use of the Imaging Office services for free.
From 24-28th of March, the annual All-Hands Node meeting of Euro-BioImaging took place in the picturesque city of Heidelberg. In between the hills and the forest, houses the EMBL: the hosting location of the meeting. It was a very fruitful meeting with exchange of opportunities, ideas, an challenges but above all the feeling of a very open and welcoming community.
For their fascinating research, Dr. M. Linda Sutherland and Dr. Giuseppe Barisano made use of an image analysis tool provided by the Population Imaging Flagship Node Rotterdam via the Euro-BioImaging network. In particular, a custom ImageJ plugin was provided for the analysis of intracranial arteriosclerosis. The group applied the plugin on brain CT scans of a native Bolivian population of 1,000 individuals to test their hypothesis that calcification of the intracranial internal carotid artery can be related to dementia.
Two of our Imaging Office members are part of the EuCanImage workshop team to provide an in-depth exploration of advanced clinical data integration techniques, tools, and insights gained through the EuCanImage (European Cancer Imaging Platform for Development of Trustworthy AI in Oncology) project. Please find below the original workshop information from EuCanImage:
Last week marked the kick-off of the Erasmus MC AI Accelerator programme. It was a good opportunity to meet with other groups throughout (and beyond) the hospital working on AI. The Imaging Office was also represented with a poster showing current work and future challenges in working with AI. Many thanks to the AI Accelerator team and looking forward to some fruitful collaborations!
As Population Imaging Flagship node Rotterdam, the Imaging Office is connected to the European Biomedical Imaging Infrastructure Euro-BioImaging. Via this infrastructure the Imaging Office is able to provide its services on a European level. Via Euro-Bio Imaging we recently received two funding opportunities for industry to make use of the services of the Imaging Office:
Two weeks ago, the AMIE core facility together with the Imaging Office, organized a workshop focused on Data Analysis Techniques for Preclinical Imaging. We provided the participants with essential insights and skills for analyzing preclinical imaging data and the opportunity to network with fellow researchers and industry. We were able to do this through the enthusiastic involvement of experts like Christian Vanhove (Image processing basics), Ilva van Houwelingen (Advanced image processing techniques + Hands-on training with freeware: Weasis and 3D slicer), Theo van Walsum (Hands-on training with freeware: MeVisLab), Oleh Dzyubachyk (Analysis of small animal imaging data: examples, challenges, and opportunities) and Joanes Grandjean (Data curation).
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