End-to-end privacy preserving deep learning on multi-institutional medical imagingGeorgios Kaissis, Rickmer Braren, M. Steinborn et al.|Nature Machine Intelligence|2021Cited by 468
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imagingSoroosh Tayebi Arasteh, Georgios Kaissis, Daniel Rueckert et al.|Communications Medicine|2024Cited by 36
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingSoroosh Tayebi Arasteh, Georgios Kaissis, Daniel Rueckert et al.|arXiv (Cornell University)|2023Cited by 12
Body Fat Estimation from Surface Meshes using Graph Neural NetworksTamara T. Mueller, Daniel Rueckert, Georgios Kaissis et al.|arXiv (Cornell University)|2023Cited by 1
Body Fat Estimation from Surface Meshes Using Graph Neural NetworksTamara T. Mueller, Daniel Rueckert, Georgios Kaissis et al.|Lecture notes in computer science|2023Cited by 1