
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…

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

This research study [1] aimed to compare the feasibility and reliability of manual versus software-assisted assessments of computed tomography (CT)…

A recent study [1] conducted by researchers at University Hospital Ulm explored the role of sarcopenia in patients with esophageal or gastric cancer.…

A recent study[1] conducted by researchers at the University Hospital Munich (LMU) investigated the role of tumor growth rate (TGR) in predicting the…

This study [1] aimed to examine tissue changes in patients with head and neck squamous cell carcinoma (HNSCC) after primary radiochemotherapy (RCT)…

This study[1] addressed the challenges of conducting WB-MRI in paediatric patients, particularly the prolonged acquisition time required for…

In this retrospective study utilizing the mint Lesion™ software[1], researchers found that routine clinical interpretations frequently resulted in the…

A prospective, monocentric study [1] conducted by Vanessa F. Schmidt and her colleagues at the University Hospital Munich (LMU) evaluated the…