224 citations
- University of FreiburgDE22 papers
- Technical University of MunichDE6 papers
- German Cancer Research CenterDE5 papers
- Heidelberg UniversityDE5 papers
- Fraunhofer Institute for Digital MedicineDE4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- RWTH Aachen UniversityDE3 papers
- Adaptive Dynamics (United States)US2 papers
- Deutsches Herzzentrum der CharitéDE2 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- German Centre for Cardiovascular ResearchDE2 papers
- Medizinische Hochschule HannoverDE2 papers
44 papers
Optical Detuning Strategies for Shielded Loop Resonators
Jakob Gerlach, Reza Aghabagheri, Zining Liu +5
Purpose: To compare detuning performance and evaluate the power requirements of optical detuning methods, and to demonstrate the feasibility of an optically detuned four-channel re…
SurvPFN: Towards Foundation Models for Survival Predictions
Samuel Böhm, Lennart Purucker, Frank Hutter +1
Tabular foundation models (TFMs) have made rapid progress in standard classification and regression, but time-to-event survival prediction tasks have remained largely untouched. Un…
Scalable Training of Spatially Grounded 2D Vision-Language Models for Radiology
Yusuf Salcan, Simon Ging, Robin Tibor Schirrmeister +4
We study how to train visually grounded vision-language models (VLMs) for radiology without manual spatial annotations. We introduce RefRad2D, a large-scale bilingual (German/Engli…
The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP
Henry He, Johann Frei, Raphael Schmitt
Digital healthcare generates vast amounts of clinical text that can support AI-assisted applications, yet German biomedical language models remain limited by older architectures or…
Learning study similarity to investigate heterogeneity in meta-analysis using LLMs and triplet loss
Kanella Panagiotopoulou, Harald Binder, Theodoros Evrenoglou
Meta-analyses of observational studies often show substantial between-study heterogeneity, limiting the interpretability of pooled estimates. Meta-regression can be used to explore…
Learning to Read Where to Look: Disease-Aware Vision-Language Pretraining for 3D CT
Simon Ging, Philipp Arnold, Sebastian Walter +6
Recent 3D CT vision-language models align volumes with reports via contrastive pretraining, but typically rely on limited public data and provide only coarse global supervision. We…