2 papers
cs.CV2026
Weight-Space Programming for Medical Imaging: Do We Still Need Training Data?
Maximilian Lindholz, Richard Ruppel, Annette Milnik +11
Can a large language model (LLM) write the parameters of a medical image classifier from medical knowledge alone, without any training data? Such classifiers normally require label…
cs.CV2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Markus R. Bujotzek, Ünal Akünal, Stefan Denner +17
Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments…