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Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum2025 International Journal of Dynamics and Control article Computer Science Reinforcement Learning in Robotics Open access
Faras Brumand‐Poor, Paul Wagemann, Timm Geibel, Katharina Schmitz
4citations -
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review2025 Journal of Clinical Epidemiology review Mathematics Statistical Methods in Epidemiology Open access
Biruk Tsegaye, Kym I E Snell, Lucinda Archer, Shona Kirtley, Richard D Riley, Matthew Sperrin, +3 more
46citations -
Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review2023 Journal of Clinical Epidemiology review Decision Sciences Meta-analysis and systematic reviews Open access
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Scott Bullock, Johanna AAG Damen, +6 more
41citations -
Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?2021 International Journal of Medical Informatics article Medicine Emergency and Acute Care Studies Open access
Anne de Hond, Wouter Raven, Laurens Schinkelshoek, Menno Iskander Gaakeer, Ewoud ter Avest, Özcan Sir, +7 more
66citations -
Influence of deep learning reconstruction on task-based model observer performance in CT: an anthropomorphic head phantom study2022 SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment conference-paper Medicine Medical Imaging Techniques and Applications
Irene Hernandez Giron, Touko T. Kaasalainen, Teemu O. Mäkelä, Juha T.K. Peltonen, Mika Kortesniemi
1citations -
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease2023 Lecture notes in computer science conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
7citations -
Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study2024 Journal of Biomedical Informatics article Computer Science Privacy-Preserving Technologies in Data Open access
Pedro Mateus, Justine E. F. Moonen, Magdalena Beran, Eva A. Jaarsma, Sophie M. van der Landen, Joost Heuvelink, +11 more
31citations