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How to Operate a Biobank (Advanced)

MedUniGraz Neue Stiftingtalstraße 2/B/6, Graz, Steiermark, Austria

Join the advanced module of the 2-part How to Build a Biobank course from BBMRI.at partner Medical University of Graz.

€950

AI 4 IMAGING: Radiomics, Deep Learning and Synthetic Data – A Hands-on Course

Maastricht School of Management Endepolsdomein 150, Maastricht, Netherlands

This course on Artificial Intelligence for Imaging is a unique opportunity to join a community of leading-edge practitioners in the field of Quantitative Medical Imaging. Whether you are a researcher in the field or are interested about fostering this type of research in your clinic, during this 4-days immersive course you will be able to attend lectures and workshops from world-class experts in Radiomics, Deep Learning and Synthetic Data. Clinicians will receive basic training in the methods of Quantitative Image Analysis and will be able to interactively design a clinical trial. Researchers will receive in-depth lectures about the state of the art and deeper training in commonly used algorithms. Researchers can also bring your own curated dataset for the hackathon (labelled, sorted by outcome, open source or fully anonymised, and cleared by ethics). If requested ahead of time, we will perform “data matching” for attendees to facilitate external cross validation. There will be ample opportunity to network with faculty members, other participants and companies.

€850

4th BBMRI.QM Newsroom

Online

“Get insights from the outside” – that is the motto for the consultation hours on quality-related topics in the field of biobanking and biomedical research and development. We invite you […]

Free

Online Workshop: Implementing Genomic Research Projects

Learn how to address key issues in genomic research in this two-day online workshop on Implementing Genomic Research Projects, jointly organised by BBMRI-ERIC with Easi Genomics on: Wednesday, 1 February […]


The website was co-funded within ADOPT BBMRI-ERIC, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 676550.
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