Publikationen
2024
- Stathonikos, N. ., Aubreville, M. ., de Vries, S. ., Wilm, F. ., Bertram, C. A., Veta, M. ., & van Diest, P. J. (2024). Breast cancer survival prediction using an automated mitosis detection pipeline. The Journal of Pathology: Clinical Research, 10, e70008. http://doi.org/https://doi.org/10.1002/2056-4538.70008
Data-Driven Analysis of Physical and Mental Rotation Strategies
Wetzel, S. ., & Bertel, S. . (2024). Data-Driven Analysis of Physical and Mental Rotation Strategies. CogSci 2025 conference. Rotterdam: Cognitive Science Society.Abstract
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A federated learning approach to QoS forecasting in cellular vehicular communications: Approaches and empirical evidence
Baganal-Krishna, N. ., Lübben, R. ., Liotou, E. ., Katsaros, K. V., & Rizk, A. . (2024). A federated learning approach to QoS forecasting in cellular vehicular communications: Approaches and empirical evidence. Computer Networks, 242, 110239. http://doi.org/https://doi.org/10.1016/j.comnet.2024.110239Abstract
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Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis
Ganz, J. ., Marzahl, C. ., Ammeling, J. ., Rosbach, E. ., Richter, B. ., Puget, C. ., … Aubreville, M. . (2024). Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis. Scientific Reports, 14, 26273. http://doi.org/10.1038/s41598-024-77244-6Abstract
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2023
Improving the Quality of Wind Field Reconstruction Techniques for Lidar-assisted Control of Wind Turbines
Afanasieva, N. ., & Schlipf, D. . (2023). Improving the Quality of Wind Field Reconstruction Techniques for Lidar-assisted Control of Wind Turbines. In 19thEAWE PhD Seminar on Wind Energy. http://doi.org/10.5281/zenodo.8335186 (Original work published 2025)Exportformate
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The performance of two control strategies for floating wind turbines: lidar-assisted feedforward and multi-variable feedback
Guo, F. ., Schlipf, D. ., Lemmer, F. ., Raach, S. ., Özinan, U. ., Adam, R. ., & Choisnet, T. . (2023). The performance of two control strategies for floating wind turbines: lidar-assisted feedforward and multi-variable feedback. In Journal of Physics: Conference Series (Bd. 2626, S. 012005). http://doi.org/10.1088/1742-6596/2626/1/012005 (Original work published 2025)Exportformate
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A Tutorial on Lidar-Assisted Control for Floating Offshore Wind Turbines
Schlipf, D. ., Guo, F. ., Raach, S. ., & Lemmer, F. . (2023). A Tutorial on Lidar-Assisted Control for Floating Offshore Wind Turbines. In American Control Conference. San Diego, CA, USA. http://doi.org/10.23919/ACC55779.2023.10156419 (Original work published 2025)Exportformate
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A data-driven approach to the design and implementation of retrofit lidar assisted control systems
Pitter, M. ., Slinger, C. ., Guo, F. ., Schlipf, D. ., Raach, S. ., & White, S. . (2023). A data-driven approach to the design and implementation of retrofit lidar assisted control systems. http://doi.org/10.5281/zenodo.8037351 (Original work published 2025)Exportformate
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Feedforward control for a 15-MW wind turbine using a spinner-mounted single-beam lidar
Fu, W. ., Guo, F. ., Schlipf, D. ., & Peña, A. . (2023). Feedforward control for a 15-MW wind turbine using a spinner-mounted single-beam lidar. http://doi.org/10.5281/zenodo.8033374 (Original work published 2025)Exportformate
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Recommended Practices on Lidar-assisted Control of Floating Wind Turbines
Guo, F. ., Lemmer, F. ., Schlipf, D. ., & Raach, S. . (2023). Recommended Practices on Lidar-assisted Control of Floating Wind Turbines. http://doi.org/10.5281/zenodo.8031738 (Original work published 2025)Exportformate
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