Publikationen
2024
- Zhang, Z., Guo, F., Schlipf, D., Schito, P., & Zasso, A. (2024). Analysis of Turbine Yaw Misalignment Estimated by LIDAR Assuming Homogeneous Flow. Wind Energy Science Discussions, 2024, 1–21. http://doi.org/10.5194/wes-2023-162
Breast cancer survival prediction using an automated mitosis detection pipeline
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/10.1002/2056-4538.70008Abstract
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Influence of Compressive Stresses on Core Losses and Magnetization Demand of Electrical Steel Sheets and Press Fitted Stator Cores
Regnet, M., Pérez, A. V., Dietz, A., Loehlein, B., & Reinlein, M. (2024). Influence of Compressive Stresses on Core Losses and Magnetization Demand of Electrical Steel Sheets and Press Fitted Stator Cores. In 14th International Electric Drives Production Conference (EDPC).Exportformate
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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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Training for Ultrasound Imaging: An Evaluation of SonoGame
Gürgan, S., Henze, V., Gall, C., Schoenfisch, B., Brucker, S., Hahn, M., … Teistler, M. (2024). Training for Ultrasound Imaging: An Evaluation of SonoGame. ACM Symposium on Spatial User Interaction (SUI 2024). Trier, Germany: ACM, New York. http://doi.org/10.1145/3677386.3688880Exportformate
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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 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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