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
05/28
to
05/31/2024
GOTHENBURG, SWEDEN
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…
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…
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…
RÖKO 2024
05/08
to
05/10/2024
WIESBADEN, GERMANY
105th German Radiology Congress and 10th Joint Congress of the DRG and the ÖRG
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…
JPR 2024
05/02
to
05/05/2024
SÃO PAULO, BRAZIL
The 54th Jornada Paulista de Radiologia
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