Prof. Dr. Daniel Boll
Related Resources
Related Resources
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…
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
35th Annual Meeting and Postgraduate Course of The European Society of Gastrointestinal and Abdominal Radiology