Radboud university medical center is a university medical center for patient care, research, and education, located in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the health and healthcare of the future. This is reflected in the center’s mission: “to have a significant impact on health (care)”. It demands that the medical center innovates and reinvigorates through collaboration within our networks and with a focus on the individual person. The medical center mainly concentrates on prevention, meaningful and prudent healthcare, sustainability, artificial intelligence and data-driven systems, the molecular mechanisms of diseases and new treatments, and training the professionals of tomorrow.

Role of institution in the project

RadboudUMC as founder of grand-challenge.org and as partner in the BIGpicture and Health-RI projects will add valuable expertise, input and feedback regarding connecting with other initiatives (WP1.4, WP4.2) . Grand-challenge.org offers models and data hosted in AWS cloud services, providing valuable experience with cloud infrastructure. RadboudUMC will also contribute in the definition of interfaces and data formats for various clinical imaging data such as radiology and pathology images (WP 5.6). These interfaces will be implemented to provide interoperability with grand-challenge.org (WP 6). RadboudUMC will also be involved in all tasks concerning the platform use cases (WP7).

Bram van Ginneken

Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center and chairs the Diagnostic Image Analysis Group. He also works for Fraunhofer MEVIS in Bremen, Germany, and is a founder of Thirona, a company that develops software and provides services for medical image analysis. He studied Physics at Eindhoven University of Technology and Utrecht University. In 2001, he obtained his PhD at the Image Sciences Institute on Computer-Aided Diagnosis in Chest Radiography. He has (co-)authored over 250 publications in international journals. He is member of the Editorial Board of Medical Image Analysis. He pioneered the concept of challenges in medical image analysis.

Jurgen Fütterer

Jurgen Fütterer is interventional radiologist, full professor at the Department of Medical Imaging, Radboudumc, and at the Robotics and Mechatronics group, University of Twente. He qualified at Radboud University Nijmegen in 2001, and completed his PhD on MRI techniques in localization and staging of prostate cancer in 2006. He was radiology resident at the University Medical Centre, Nijmegen, 2003-2008, and completed a fellowship in interventional radiology/body MRI, 2009. Prof. Fütterer is internationally acknowledged as one of the leading interventional radiologists in MRI-guided interventions and focal therapy for prostate cancer. Prof. Fütterer is founder and principal investigator of the Minimally Invasive Image-Guided Interventions Center (MAGIC) research group at Radboudumc. The group has played a key role in establishing and extending Radboudumc’s Imaging department’s role as an internationally recognized center of excellence in MRI-guided prostate cancer diagnosis and minimally invasive treatment. This has also led to spin-offs like Soteria Medical, a medical device company with expertise in robotic assistance for MRI-guided prostate biopsy. Prof. Fütterer’s group also has a strong participation in Radboudumc’s MITeC innovative operating rooms. MITeC is an acknowledged international reference site for image-guided therapy and with Siemens Healthineers, strives to develop and extend the use of minimally invasive interventions.

Miriam Groeneveld

Miriam Groeneveld is a Research Software Engineer in the Diagnostic Image Analysis Group at Radboudumc. She is trained as a pathology analyst and studied Biology at the University of Amsterdam. She worked as analyst at the Academic Medical Center in Amsterdam and the Wilhelmina Children's hospital in Utrecht. She switched to software engineering and worked for ten years at Centric before joining the Diagnostic Image Analysis Group under supervision of James Meakin.

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