Friederike Jungmann

Evaluation and mitigation of the limitations of large language models in clinical decision-making

Paul Hager, Friederike Jungmann, Robbie Holland et al. · Nature Medicine · 2024 · 570 citations · Full text

Computing, Biomedical Informatics, Health Informatics +17

End-to-end privacy preserving deep learning on multi-institutional medical imaging

Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach et al. · Nature Machine Intelligence · 2021 · 470 citations

Computing, Computer Science, Health Informatics +9

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Qi Dou, Tiffany Y. So, Meirui Jiang et al. · npj Digital Medicine · 2021 · 272 citations · Full text

Computing, Computer Science, Radiology +16

Intensive Care Risk Estimation in COVID-19 Pneumonia Based on Clinical and Imaging Parameters: Experiences from the Munich Cohort

Egon Burian, Friederike Jungmann, Georgios Kaissis et al. · Journal of Clinical Medicine · 2020 · 76 citations · Full text

Medicine, Infectious Diseases, Radiology +17

Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)

Sebastian Ziegelmayer, Georgios Kaissis, F Harder et al. · Journal of Clinical Medicine · 2020 · 49 citations · Full text

Medicine, Computer Science, Radiology +17