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 privacy regulations would otherwise hinder the use…
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 datasets is required. While the use of a centralized…
ESGAR 2024
35th Annual Meeting and Postgraduate Course of The European Society of Gastrointestinal and Abdominal Radiology
On-Site BZKF BORN Roll-Out Trainings Keep on Going
Our expert Steffen Rupp recently visited the Technical University of Munich to continue the on-site BZKF BORN Roll-Out Trainings. As mentioned earlier this month in a press release by the…
Unveiling the Predictive Power of Pericardial Effusion in COVID-19 Outcomes
The COVID-19 pandemic wreaked havoc on healthcare systems worldwide, requiring a comprehensive understanding of disease progression for optimal treatment strategies. Amidst this backdrop, the RACOON…
Advancing Childhood Cancer Research: The Role of Technology in Brain Tumor Diagnosis and Treatment
Brain cancers account for more than 15% of childhood cancers and are the second most common childhood cancer [1]. Mint Medical is Going Gray in May to mark Brain Tumor Awareness Month in May, and…
Unlocking the Power of AI: The Vital Role of Structured Reporting
We all know the phrase “a picture is worth a thousand words”; yet, in specific fields, one thousand words are simply too many and can potentially prove problematic. Radiologists still usually prefer…
ACRP 2024
ACRP 2024 is the leading clinical research conference for gold-standard education and networking opportunities
