Georgios Kaissis

Secure, privacy-preserving and federated machine learning in medical imaging

Georgios Kaissis, Marcus R. Makowski, Daniel Rückert et al. · Nature Machine Intelligence · 2020 · 1.3K citations · Full text

Computing, Biomedical Informatics, Computer Science +14

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li et al. · Medical Image Analysis · 2022 · 1.2K citations · Full text

Medicine, Oncology, Radiology +17

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

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al. · BMJ · 2025 · 348 citations · Full text

Public Affairs, Health Informatics, Artificial Intelligence +14