Steffen Rupp

At Mint Medical, we are accompanying our partners on a journey towards data-driven radiology and personalized medicine. We want to enable them to collect real-world evidence in clinical routine, which ultimately allows them to improve the quality of patient care and contribute to the generation of new knowledge. This journey is both challenging and rewarding, which makes it a diverse and exciting task for everyone involved.

Related Resources

Related Resources

Radiologist using for medical image analysis

Advancing Real-World Federated Learning in Radiology

Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…

Schematic visualization of the federated learning study and its data infrastructure

RACOON: A Guide to Bridging the Gap Between Simulated and Real-World Federated Learning Research

Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…

ESGAR 2024

05/28 to 05/31/2024 GOTHENBURG, SWEDEN

35th Annual Meeting and Postgraduate Course of The European Society of Gastrointestinal and Abdominal Radiology