Georgios Kaissis
Technical University of Munich(DE)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education, Pancreatic and Hepatic Oncology Research
Most-Cited Works
- → Secure, privacy-preserving and federated machine learning in medical imaging(2020)1,233 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,081 cited
- → Evaluation and mitigation of the limitations of large language models in clinical decision-making(2024)453 cited
- → End-to-end privacy preserving deep learning on multi-institutional medical imaging(2021)443 cited
- → Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study(2021)265 cited
- → FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare(2025)236 cited
- → PySyft: A Library for Easy Federated Learning(2021)197 cited
- → Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks(2017)184 cited
- → A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity(2023)167 cited