Publikationen
Gehrmann, J., & Beyan, O. (2024). Data Quality in Medical Real-World Data–An Oncological Use Case. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 9-13). IOS Press
Kamal, M. M., Kutafina, E., & Beyan, O. (2024). Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital’s Medical Data Integration Center. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 48-52). IOS Press.
Adnan, M., Kutafina, E., & Beyan, O. (2024). Cybersecurity Frameworks in Healthcare Data: Short Literature Review. Digital Health and Informatics Innovations for Sustainable Health Care Systems, 301-302.
Elwes, M. R., Namer, B., Troglio, A., Kirsten, T., Beyan, O., & Kutafina, E. (2024). Harmonizing Microneurography Metadata with Local Data Hubs: A Concept. Studies in health technology and informatics, 316, 358-359.
Li, F., Kutafina, E., Schoneck, M., Caldeira, L. L., & Beyan, O. (2024). How Data Infrastructure Deals with Bias Problems in Medical Imaging. Studies in health technology and informatics, 316, 726-730.
Graefe, A. S., Rehburg, F., Hübner, M., Thun, S., & Beyan, O. (2024). Review of Key Elements in Developing a Common Data Model for Rare Diseases: Identifying Common Success Factors. Studies in health technology and informatics, 316, 1396-1400.
Gehrmann, J, Soenarto, D, Hidayat, K, Beyer, M, Quakulinski, L, Alkarkoukly, S, Berressem, S, Gundert, A, Butler, M, Grönke, A, Lennartz, S, Persigehl, T, Zander, T, Beyan O. "Seeing the Primary Tumor because of all the Trees: Cancer Type Prediction on low-dimensional Data". Frontiers in Medicine 2024; 11:1396459.
Yongli Mou, Feifei Li, Sven Weber, Sabith Haneef, Hans Meine, Liliana Caldeira; Mehrshad Jaberansary; Sascha Welten, Yeliz Yediel Ucer, Guido Prause, Stefan Decker, Oya Beyan, Toralf Kirsten (2023) Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train, 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, DOI: https://doi.org/10.52825/cordi.v1i.282
Geng, J., Mou, Y., Li, Q., Li, F., Beyan, O., Decker, S., & Rong, C. (2023). Improved Gradient Inversion Attacks and Defenses in Federated Learning. IEEE Transactions on Big Data.
Boukhers, Z., Lange, C., & Beyan, O. (2023, April). Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective. In Companion Proceedings of the ACM Web Conference 2023 (pp. 1462-1467).
Mou, Y., Geng, J., Zhou, F., Beyan, O., Rong, C., & Decker, S. (2023, May). pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 283-294). Cham: Springer Nature Switzerland.
Gehrmann, J., Herczog, E., Decker, S., & Beyan, O. (2023). What prevents us from reusing medical real-world data in research. Scientific Data, 10(1).
Boukhers, Zeyd, Arnim Bleier, Yeliz Ucer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Sascha Welten, Adamantios Koumpis, and Oya Beyan. "PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences." In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. 251-252. IEEE, 2023.
Md Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker, Explainable AI for Bioinformatics: Methods, Tools and Applications, Briefings in Bioinformatics, Volume 24, Issue 5, September 2023, bbad236, https://doi.org/10.1093/bib/bbad236
Quakulinski L., Koumpis A. and Beyan O. D. (2023) Transparency in Medical Artificial Intelligence Systems, International Journal of Semantic Computing, https://doi.org/10.1142/S1793351X23630011
Quakulinski L., Koumpis A. and Beyan O. D. (2023) The Library of Babel as a Digital Library of Human Mistakes, ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), June 26 - 30, 2023, Santa Fe, New Mexico, USA, DOI 10.1109/JCDL57899.2023.00062
Quakulinski L., Koumpis A., & Beyan O. D. (2022) Establishing Transparency in Artificial Intelligence Systems. In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) (pp. 116-121). IEEE, doi: 10.1109/TransAI54797.2022.00027
Alkarkoukly S, Kamal MM, Beyan O. Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation Using Open-Source Tools. Stud Health Technol Inform. 2023 May 18;302:43-47. doi: 10.3233/SHTI230061. PMID: 37203606.
Gehrmann J, Beyan O. Integrating Cross-Departmental Data. Stud Health Technol Inform. 2023 May 18;302:125-126. doi: 10.3233/SHTI230078. PMID: 37203623.
Li F, Schöneck M, Beyan O, Caldeira LL. Voxel-Wise Medical Imaging Transformation and Adaption Based on CycleGAN and Score-Based Diffusion. Stud Health Technol Inform. 2023 May 18;302:1027-1028. doi: 10.3233/SHTI230337. PMID: 37203572.
Mehrshad Jaberansary, Macedo Maia, Yeliz Ucer Yediel, Oya Beyan, and Toralf Kirsten (2023) Analyzing Distributed Medical Data in FAIR Data Spaces. In Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion). Association for Computing Machinery, New York, NY, USA, 1480–1484. https://doi.org/10.1145/3543873.3587663
Welten S, Mou Y, Neumann L, Jaberansary M, Ucer Yediel Y, Kirsten T, Decker S, Beyan O. (2022). A Privacy-Preserving Distributed Analytics Platform for Health Care Data. Methods of Information in Medicine. doi: 10.1055/s-0041-1740564.
Christoforaki M, Beyan O. AI Ethics—A Bird’s Eye View. Applied Science. 2022, 12, 4130. doi: 10.3390/app12094130
Welten S, Hempel L, Abedi M, Mou Y, Jaberansary M, Neumann L, Weber S, Tahar K, Ucer Yediel Y, Löbe M, Decker S, Beyan O, Kirsten T. Multi-Institutional Breast Cancer Detection Using a Secure On-Boarding Service for Distributed Analytics. Applied Science. 2022, 12, 4336. doi: 10.3390/app12094336.
Karim MdR, Cochez M, Zappa A, Sahay R, Rebholz-Schuhmann D, Beyan O, Decker S. Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022 Jan;19 (1):369-382. doi: 10.1109/tcbb.2020.2994649.
Fluck J, Lindstädt B, Ahrens W, Beyan O, Buchner B, Darms J, Depping R, Dierkes J, Neuhausen H, Müller W, Zeeb H, Golebiewski M, Löffler M, Löbe M, Meineke F, Klammt S, Fröhlich H, Hahn H, Schulze M, Pischon T, Nöthlings U, Sax U, Kusch H, Grabenhenrich L, Schmidt CO, Waltemath D, Semler S, Gehrke J, Kirsten T, Praßer F, Thun S, Wieler L, Pigeot I. 2021. NFDI4Health – Nationale Forschungsdateninfrastruktur für Personenbezogene Gesundheitsdaten. Bausteine Forschungsdatenmanagement. Nr. 2 (Juli). German:72-85. doi: 10.17192/bfdm.2021.2.8331.
Welten S, Neumann L, Ucer Yediel Y, da Silva Santos LOB, Decker S, Beyan O. DAMS: A Distributed Analytics Metadata Schema. Data Intelligence 1–17. May 12 2021. https://doi.org/10.1162/dint_a_00100.
Mou Y, Geng J, Welten S, Rong C, Decker S, Beyan O. Optimized Federated Learning on Class-Biased Distributed Data Sources. International Workshops of ECML PKDD 2021 (Virtual Event). September 13-17, 2021. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Proceedings, Part I / edited by Michael Kamp, Irena Koprinska, Adrien Bibal [u.a.] Page(s)/Article-Nr.: 146-158.