About the Fraunhofer MEVIS Showroom
Welcome to the Fraunhofer MEVIS Showroom, an initiative by the Fraunhofer Institute for Digital Medicine MEVIS. We offer medical imaging algorithms that users can execute securely on our platform using their own datasets. Our goal with this platform is to foster innovation and collaboration in medical imaging by making advanced imaging algorithms accessible to the research and clinical community.
What You Can Do Here
Evaluate MEVIS Algorithms
Evaluate our showcased algorithms, free of charge for a limited number of cases.
Browse algorithmsCollaborate and Connect
Engage with staff from Fraunhofer MEVIS to discuss results, share feedback, and explore potential collaborations.
Contact usGetting Started
Contributions and Acknowledgments
This platform has been created in the NFDI4Health project, which is funded by the German Research Foundation (DFG) and aims to develop FAIR (Findable, Accessible, Interoperable, Reusable) infrastructure for the management and sharing of personal health data in Germany. Learn more about NFDI4Health at nfdi4health.de.
The automatic quality assessment algorithm for lung CT images has been developed by the NFDI4Health COVID-19 Task Force.
This website is a fork of grand-challenge.org, an established platform for collaborative AI development in medical imaging. The initial development and deployment of this fork were kindly supported by the Research Software Engineering Team of the Diagnostic Image Analysis Group at Radboud University Medical Center, Nijmegen, The Netherlands, with special thanks to James Meakin, Lead Research Software Engineer.
Responsibility notice
Please note: Fraunhofer MEVIS is solely responsible for the maintenance and content of this website.
The Research Software Engineering Team at Radboud University Medical Center is not responsible for the operation, status, or content of this platform.
Data Privacy and Security
We are committed to protecting your data. Only anonymized data should be uploaded to the platform, and all processing is performed in secure, cloud-based environments. For more details, please see our Terms and Conditions and Privacy Policy.