Lea Reinartz, M.Sc.

H. Schäfer et al., “A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports,” in 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Piscataway, NJ: IEEE, 2025. doi: 10.1109/embc58623.2025.11254237

L. Reinartz, S. Schneeweiß, and A. Harrer, “Design, Realisierung und Evaluation von Scaffolds zur Unterstützung von Lernprozessen im Hochschulkontext,” in DELFI 2024 - Die 22. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., in LNI. Bonn: Gesellschaft für Informatik, 2024, pp. 389–395. doi: 10.18420/delfi2024_35

C. S. Schmidt et al., “A Real-Time Dashboard for Optimizing Blood Product Utilization Through a FHIR-Based Data Integration Pipeline,” Transfusion and Apheresis Science, vol. 65, no. 1, p. 104301, 2025, doi: 10.1016/j.transci.2025.104301

D. Walter et al., “How pre-service teachers can be supported to increase their diagnostic skills in mathematics—design and evaluation of a learning platform for university teacher training,” Frontiers in Education, vol. 10, no. Redefining Learning in the Digital Age: Pedagogical Strategies and Outcomes, 2025, doi: 10.3389/feduc.2025.1510828