1.
Schapranow, M.-P.: Lernende Laborsysteme: Wie kann künstliche Intelligenz im Labor unterstützen?. In: Raem, A.M. en Rauch, P. (reds.) Immunoassays: ergänzende Methoden, Troubleshooting, regulatorische Anforderungen. bll. 755–775. Springer Berlin Heidelberg, Berlin, Heidelberg (2023).
2.
Schapranow, M.-P., Borchert, F., Bougatf, N., Hund, H., Eils, R.: Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards. SN Computer Science. 4, 358 (2023).
3.
Nordmeyer, S., Kraus, M., Ziehm, M., Kirchner, M., Schafstedde, M., Kelm, M., Niquet, S., Stephen, M., Baczko, I., Knosalla, C., Schapranow, M.-P., Dittmar, G., Gotthardt, M., Falcke, M., Regitz-Zagrosek, V., Kuehne, T., Mertins, P.: Disease- and sex-specific differences in patients with heart valve disease: A proteome study. Life Sci Alliance. 6, e202201411 (2023).
4.
Budde, K., Hiltawsky, K., Eskofier, B., Heismann, B., Kirchner, E., Klevesath, M., Lang, M., Loskill, H., Neumuth, T., Schapranow, M.-P., Schmidt-Rumposch, A., Susec, B., Welskop-Deffaa, E.M., Wolf-Ostermann, K.: KI für Gesundheitsfachkräfte: Chancen und Herausforderungen von medizinischen und pflegerischen KI-Anwendungen. Plattform Lernende Systeme (2023).
5.
Borchert, F., Llorca, I., Schapranow, M.-P.: Cross-Lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking. In: Arampatzis, A., Kanoulas, E., Tsikrika, T., Vrochidis, S., Giachanou, A., Li, D., Aliannejadi, M., Vlachos, M., Faggioli, G., en Ferro, N. (reds.) Experimental IR Meets Multilinguality, Multimodality, and Interaction. bll. 135–147. Springer Nature Switzerland, Cham (2023).
6.
Steinwand, S., Borchert, F., Winkler, S., Schapranow, M.-P.: GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text. In: Juarez, J.M., Marcos, M., Stiglic, G., en Tucker, A. (reds.) Artificial Intelligence in Medicine. bll. 183–192. Springer Nature Switzerland, Cham (2023).
7.
Llorca, I., Borchert, F., Schapranow, M.-P.: A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation. Proceedings of the 5th Clinical Natural Language Processing Workshop. bll. 171–181. Association for Computational Linguistics, Toronto, Canada (2023).
8.
Kämmer, N., and Borchert, F., and Winkler, S., and de Melo, G., and Schapranow, M.-P.: Resolving Elliptical Compounds in German Medical Text. The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks. bll. 292–305. Association for Computational Linguistics, Toronto, Canada (2023).