B. Ionescu et al., “Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 16th International Conference of the CLEF Association, CLEF 2025, Madrid, Spain, September 9–12, 2025, Proceedings, in Lecture Notes in Computer Science, no. 16089. Cham: Springer, 2026, pp. 290–314. doi: 10.1007/978-3-032-04354-2_17
T. Pakull et al., “Preliminary Evaluation of an Open-Source LLM for Lay Translation of German Clinical Documents,” in Proceedings of the Second Workshop on Patient-Oriented Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2025. doi: 10.18653/v1/2025.cl4health-1.15
T. Pakull, H. Damm, H. Schäfer, P. Horn, and C. Friedrich, “WisPerMed @ PerAnsSumm 2025: Strong Reasoning Through Structured Prompting and Careful Answer Selection Enhances Perspective Extraction and Summarization of Healthcare Forum Threads,” in Proceedings of the Second Workshop on Patient-Oriented Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2025. doi: 10.18653/v1/2025.cl4health-1.32
B. Ionescu et al., “ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications,” in Advances in Information Retrieval: 47th European Conference on Information Retrieval, Berlin: Springer, 2025, pp. 398–406. doi: 10.1007/978-3-031-88720-8_60
J. Rückert et al., “Overview of ImageCLEFmedical 2024 – Caption Prediction and Concept Detection,” in Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Aachen: CEUR-WS.org, 2024, pp. 1437–1455. Available: https://ceur-ws.org/Vol-3740/paper-132.pdf
T. M. G. Pakull, H. Damm, A. Idrissi-Yaghir, H. Schäfer, P. A. Horn, and C. M. Friedrich, “WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2024, pp. 769–779. doi: 10.18653/v1/2024.bionlp-1.70. Available: https://aclanthology.org/2024.bionlp-1.70/
B. Ionescu et al., “Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction: 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9–12, 2024, Proceedings, in Lecture Notes in Computer Science, no. 14959. Cham: Springer, 2024, pp. 140–164. doi: 10.1007/978-3-031-71908-0_7
H. Damm et al., “WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Stroudsburg: Association for Computational Linguistics (ACL), 2024, pp. 105–121. doi: 10.18653/v1/2024.bionlp-1.9. Available: https://aclanthology.org/2024.bionlp-1.9.pdf
A. Idrissi-Yaghir et al., “Response to Letter: Re: “Comparative analysis of international melanoma guidelines,”” EJC Skin Cancer, vol. 3, p. 100752, 2025, doi: 10.1016/j.ejcskn.2025.100752
A. Idrissi-Yaghir et al., “Comparative analysis of international melanoma guidelines,” EJC Skin Cancer, vol. 3, p. 100732, 2025, doi: 10.1016/j.ejcskn.2025.100732. Available: https://dx.doi.org/10.1016/j.ejcskn.2025.100732
H. Schäfer et al., “BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature,” Computational and Structural Biotechnology Journal, 2024, doi: 10.1016/j.csbj.2024.10.017
J. Rückert et al., Organisation 8th ImageCLEFmedical - Caption task und Organisation des Tasks auf dem CLEF Labs Workshop. 2024. Available: https://www.imageclef.org/2024/medical/caption
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