4 citations · 4 across the 1 of their papers we have counts for
3 papers
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…
Safeguarding Agentic AI in Radiology Workflows: A Multimodel Evaluation of Rule-based and Large Language Model-based Verification
Semil Eminovic, Robin Schmidt, Bogdan Levita +3
Purpose: To estimate how often tool-using large language model (LLM) agents record clinically relevant false or unsupported information in simulated radiology documentation and how…
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez +24
Artificial Intelligence (AI) has become commonplace to solve routine everyday tasks. Because of the exponential growth in medical imaging data volume and complexity, the workload o…