3 papers
cs.AI2026
Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model
Kaouther Mouheb, Amos Pomp, Antoine Manenti +9
Objectives: Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dut…
cs.CV2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
Xianjing Liu, Bo Li, Meike W. Vernooij +3
This study addresses the challenges of confounding effects and interpretability in artificial-intelligence-based medical image analysis. Whereas existing literature often resolves…
eess.IV2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
Bo Li, Jeroen de Bresser, Wiro Niessen +5
Lacunes of presumed vascular origin, also referred to as lacunar infarcts, are important to assess cerebral small vessel disease and cognitive diseases such as dementia. However, v…