2 papers
cs.CV2026
Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI
Minh Duc Do, Tillmann Rheude, Noel Kronenberg +2
Brain MRI poses a fundamental challenge for machine learning: models must learn from high-dimensional 3D data spanning multiple co-registered modalities, despite the limited sample…
cs.LG2026
Large Language Models are Powerful Electronic Health Record Encoders
Stefan Hegselmann, Georg von Arnim, Tillmann Rheude +5
Electronic Health Records (EHRs) offer considerable potential for clinical prediction, but their complexity and heterogeneity challenge traditional machine learning. Domain-specifi…