Friederike Jungmann

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 · 429 citations · Full text

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 · 417 citations · Full text

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 · 262 citations · Full text

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

Advanced Lung Disease, Covid-19 Epidemiology, Covid-19 +19

Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma

Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer et al. · Journal of Clinical Medicine · 2020 · 48 citations · Full text