Clinical Learning Systems

Jeta Sopa, M.Sc.

Academic CV
  • Since 01/2026, Ph.D. Student in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  • Since 01/2026, Doctoral Researcher, Siemens Healthineers, Erlangen, Germany
  • 2025, M.Sc. Data Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Publications

2026

  • M. Farajiamiri, J. Sopa, S. Afza, L. Adams, F. Barajas Ordonez, T. Nguyen, M. Lotfinia, S. Wind, K. Bressem, S. Nebelung, D. Truhn, and S. Tayebi Arasteh. “Retrieval-augmented reasoning reshapes collective reliability in text-based radiology question answering.” Patterns, Cell Press, 2026.[URL]
  • S. Wind, J. Sopa, L. Schmid, Q. Jackl, S. Kiefer, F. Wu, M. Mayr, H. Köstler, G. Wellein, A. Maier, and S. Tayebi Arasteh. “SteuerLLM: local specialized large language model for German tax law analysis.” Scientific Reports, 2026.[URL]
  • S. Wind, T. Nguyen, J. Sopa, M. Lotfinia, S. Bickelhaup, M. Uder, H. Köstler, G. Wellein, S. Nebelung, D. Truhn, A. Maier, and S. Tayebi Arasteh. “Safety and accuracy follow different scaling laws in clinical large language models.” arXiv preprint, 2026.[URL]

2025

  • S. Wind, J. Sopa, D. Truhn, M. Lotfinia, T. Nguyen, K. Bressem, L. Adams, M. Rusu, H. Köstler, G. Wellein, A. Maier, and S. Tayebi Arasteh. “Multi-step retrieval and reasoning improves radiology question answering with large language models.” npj Digital Medicine, 2025.[URL]