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Prof. Dr. Daniele Regge

Using mint Lesion™, I have observed a paradigm shift that is revolutionizing my approach to oncologic patients.

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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…

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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