Encrypted federated learning for secure decentralized collaboration in cancer image analysisDaniel Truhn, Jakob Nikolas Kather, Maurice B. Loughrey et al.|Medical Image Analysis|2023Cited by 81
Collaborative training of medical artificial intelligence models with non-uniform labelsSoroosh Tayebi Arasteh, Daniel Truhn, Peter Isfort et al.|Scientific Reports|2023Cited by 26
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learningSoroosh Tayebi Arasteh, Sven Nebelung, Christiane Kühl et al.|Scientific Reports|2023Cited by 18
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest RadiographsSoroosh Tayebi Arasteh, Daniel Truhn, Mahshad Lotfinia et al.|Radiology Artificial Intelligence|2023Cited by 16
Encrypted federated learning for secure decentralized collaboration in cancer image analysisDaniel Truhn, Jakob Nikolas Kather, Soroosh Tayebi Arasteh et al.|medRxiv|2022Cited by 8