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Ahmadi N, Nguyen QV, Sedlmayr M, Wolfien M
A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. Scientific reports 14 (2024) 2287, DOI Link |
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Eckardt JN, Hahn W, Röllig C, Stasik S, Platzbecker U, Müller-Tidow C, Serve H, Baldus CD, Schliemann C, Schäfer-Eckart K, Hanoun M, Kaufmann M, Burchert A, Thiede C, Schetelig J, Sedlmayr M, Bornhäuser M, Wolfien M, Middeke JM
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. NPJ digital medicine 7 (2024) 76, DOI Link |
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Salybekov AA, Wolfien M, Hahn W, Hidaka S, Kobayashi S
Artificial Intelligence Reporting Guidelines' Adherence in Nephrology for Improved Research and Clinical Outcomes. Biomedicines 12 (2024), DOI Link |
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Schultz K, Bej S, Hahn W, Wolfien M, Srivastava P, Wolkenhauer O
ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets Pattern Recognition (2024), DOI Link |
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Umesh C, Mahendra M, Bej S, Wolkenhauer O, Wolfien M
Challenges and applications in generative AI for clinical tabular data in physiology. Pflugers Archiv : European journal of physiology (2024), DOI Link |
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