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Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy2020 Physics in Medicine and Biology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W.E.M. van Dijk, J. Wiersma, P.S. Kroon, +8 more
3citations -
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Murad Megjhani, Daniel C. Nametz, Miriam Weiss, Jude P. J. Savarraj, Soon Bin Kwon, David Jinou Roh, +8 more
2citations -
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access
Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more
2citations -
Human-Centered Innovation in Water Resources Management Education: A Co-Creation Approach to Developing VR Learning Experiences2026 elib (German Aerospace Center) conference-paper Computer Science Virtual Reality Applications and Impacts Open access
Stella Kanatouri, Heribert Nacken, Sina Truckenbrodt, Friederike Klan
0citations -
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability2024 IEEE PES Innovative Smart Grid Technologies Europe conference-paper Engineering Optimal Power Flow Distribution
Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati, Philipp Lutat, Jens Breitung, Bastian Jung, +5 more
0citations -
Abstract 4137423: Can Machine Learning Help Prioritise Who to Screen for Elevated Lipoprotein(a) (Lp[a]) in the General Population vs a Screen all Approach? An Analysis from UK Biobank
Christophe A. T. Stevens, Fotios Barkas, Julia Brandts, Sunganani Kwilasi, Alireza S. Mahani, Antonio J. Vallejo‐Vaz, +2 more
0citations -
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama‐Sato, Yuta Nabae, +13 more
16citations