| Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence JN Eckardt, W Hahn, C Röllig, S Stasik, U Platzbecker, C Müller-Tidow, ... NPJ digital medicine 7 (1), 76, 2024 | 15 | 2024 |
| Contribution of synthetic data generation towards an improved patient stratification in palliative care W Hahn, K Schütte, K Schultz, O Wolkenhauer, M Sedlmayr, U Schuler, ... Journal of Personalized Medicine 12 (8), 1278, 2022 | 14 | 2022 |
| An individualized decision aid for physicians and patients for total knee replacement in osteoarthritis (Value-based TKR study): study protocol for a multi-center, stepped … T Lange, S Deckert, F Beyer, W Hahn, N Einhart, M Roessler, M Sedlmayr, ... BMC musculoskeletal disorders 22, 1-12, 2021 | 14 | 2021 |
| ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets K Schultz, S Bej, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer Pattern Recognition 147, 110138, 2024 | 10 | 2024 |
| Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes AA Salybekov, M Wolfien, W Hahn, S Hidaka, S Kobayashi Biomedicines 12 (3), 606, 2024 | 7 | 2024 |
| ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets K Schultz, S Bej, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer arXiv preprint arXiv:2206.09812, 2022 | 4 | 2022 |
| Mimicking Clinical Trials with Synthetic Acute Myeloid Leukemia Patients Using Generative Artificial Intelligence JN Eckardt, W Hahn, C Röllig, S Stasik, U Platzbecker, C Müller-Tidow, ... Blood 142, 2268, 2023 | 3 | 2023 |
| Convgen: A Convex Space Learning Approach for Deep-Generative Oversampling and Imbalanced Classification of Small Tabular Datasets K Schultz, W Hahn, M Wolfien, P Srivastava, O Wolkenhauer, S Bej Available at SSRN 4332129, 2023 | 2 | 2023 |
| Evaluation of a Digital Decision Aid for Knee Replacement Surgery: A Stepped-Wedge, Cluster-Randomized Trial J Lützner, S Deckert, F Beyer, W Hahn, J Malzahn, M Sedlmayr, ... Deutsches Ärzteblatt International 121 (17), 566, 2024 | 1 | 2024 |
| Context-Sensitive Common Data Models for Genetic Rare Diseases–A Concept N Ahmadi, M Zoch, B Sedlmayr, K Schuler, W Hahn, M Sedlmayr, ... Healthcare Transformation with Informatics and Artificial Intelligence, 139-140, 2023 | 1 | 2023 |
| Efficacy of Linear Regression Modelling of SARS-CoV-2 cases based on local wastewater surveillance M Lehmann, M Geissler, W Hahn, R Gebler, B Helm, R Dumke, A Dalpke, ... medRxiv, 2022.10. 20.22281303, 2022 | 1 | 2022 |
| Corpus and baseline model for domain-specific entity recognition in german S Torge, W Hahn, R Jäkel, WE Nagel 2020 6th IEEE Congress on Information Science and Technology (CiSt), 314-320, 2021 | 1 | 2021 |
| Synthetic Data Generation in Hematology–Paving the Way for OMOP and FHIR Integration W Hahn, N Ahmadi, K Hoffmann, JN Eckardt, M Sedlmayr, M Wolfien Digital Health and Informatics Innovations for Sustainable Health Care …, 2024 | | 2024 |
| Word2Vec embeddings for categorical values in synthetic tabular generation H Waldemar, S Martin, W Markus 2022 International Conference on Computational Science and Computational …, 2022 | | 2022 |
| Named Entity Recognition for Specific Domains-Take Advantage of Transfer Learning S Torge, W Hahn, L Manjunath, R Jäkel International Journal of Information Science and Technology 6 (3), 4-15, 2022 | | 2022 |
| Transfer Learning for Domain-Specific Named Entity Recognition in German S Torge, W Hahn, R Jäkel 2020 6th IEEE Congress on Information Science and Technology (CiSt), 321-327, 2021 | | 2021 |
