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Journal of the American Medical Informatics Association : JAMIA|January 28, 2025
Evaluating robustly standardized explainable anomaly detection of implausible variables in cancer dataPhilipp Röchner, Franz RothlaufBMC Medical Research Methodology|May 24, 2023
Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registriesPhilipp Röchner, Franz RothlaufInternational Journal of Medical Informatics|March 1, 2024
Using machine learning to link electronic health records in cancer registries: On the tradeoff between linkage quality and manual effortPhilipp Röchner, Franz RothlaufStudies in Health Technology and Informatics|August 23, 2024
On the Fidelity-Privacy Tradeoff of Synthetic Cancer Registry DataPhilipp RöchnerStudies in Health Technology and Informatics|August 23, 2024
On Entity Embeddings for Ordinal Features as Representation Learning in Recurrence Prediction of Urothelial Bladder CancerLouisa Schwarz, Franz RothlaufStudies in Health Technology and Informatics|August 23, 2024
Comparison of Imputation Methods for Categorical Real-World Prostate Cancer Data with Natural OrderSusanne Schmitt, Franz RothlaufEvolutionary Computation|November 25, 2003
Redundant representations in evolutionary computationFranz Rothlauf, David E GoldbergStudies in Health Technology and Informatics|May 23, 2026
Anonymization of Electronic Health Records by the Use of Dimensionality Reduction TechniquesClarissa Krämer, Louisa Schwarz, Franz RothlaufStudies in Health Technology and Informatics|May 17, 2025
Using Machine Learning for the Fusion of Tumor Records on a Real-World DatasetClarissa Krämer, Susanne Schmitt, Franz RothlaufInternational Journal of Medical Informatics|March 26, 2024
On relevant features for the recurrence prediction of urothelial carcinoma of the bladderLouisa Schwarz, Dominik Sobania, Franz RothlaufPageof 2