Article,
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
D. Truhn, S. Arasteh, O. Saldanha, G. Müller-Franzes, F. Khader, P. Quirke, N. West, R. Gray, G. Hutchins, J. James, M. Loughrey, M. Salto-Tellez, H. Brenner, A. Brobeil, T. Yuan, J. Chang-Claude, M. Hoffmeister, S. Foersch, T. Han, S. Keil, M. Schulze-Hagen, P. Isfort, P. Bruners, G. Kaissis, C. Kuhl, S. Nebelung, and J. Kather.Medical Image Anal., (February 2024)
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%1 journals/mia/TruhnASMKQWGHJLSBBYCHFHKSIBKKNK24
%A Truhn, Daniel
%A Arasteh, Soroosh Tayebi
%A Saldanha, Oliver Lester
%A Müller-Franzes, Gustav
%A Khader, Firas
%A Quirke, Philip
%A West, Nicholas P.
%A Gray, Richard
%A Hutchins, Gordon G. A.
%A James, Jacqueline A.
%A Loughrey, Maurice B.
%A Salto-Tellez, Manuel
%A Brenner, Hermann
%A Brobeil, Alexander
%A Yuan, Tanwei
%A Chang-Claude, Jenny
%A Hoffmeister, Michael
%A Foersch, Sebastian
%A Han, Tianyu
%A Keil, Sebastian
%A Schulze-Hagen, Maximilian
%A Isfort, Peter
%A Bruners, Philipp
%A Kaissis, Georgios
%A Kuhl, Christiane
%A Nebelung, Sven
%A Kather, Jakob Nikolas
%D 2024
%J Medical Image Anal.
%K dblp
%P 103059
%T Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
%U http://dblp.uni-trier.de/db/journals/mia/mia92.html#TruhnASMKQWGHJLSBBYCHFHKSIBKKNK24
%V 92
@article{journals/mia/TruhnASMKQWGHJLSBBYCHFHKSIBKKNK24,
added-at = {2024-03-08T00:00:00.000+0100},
author = {Truhn, Daniel and Arasteh, Soroosh Tayebi and Saldanha, Oliver Lester and Müller-Franzes, Gustav and Khader, Firas and Quirke, Philip and West, Nicholas P. and Gray, Richard and Hutchins, Gordon G. A. and James, Jacqueline A. and Loughrey, Maurice B. and Salto-Tellez, Manuel and Brenner, Hermann and Brobeil, Alexander and Yuan, Tanwei and Chang-Claude, Jenny and Hoffmeister, Michael and Foersch, Sebastian and Han, Tianyu and Keil, Sebastian and Schulze-Hagen, Maximilian and Isfort, Peter and Bruners, Philipp and Kaissis, Georgios and Kuhl, Christiane and Nebelung, Sven and Kather, Jakob Nikolas},
biburl = {https://www.bibsonomy.org/bibtex/26c542c399066c916c5cc2f41849804a3/dblp},
ee = {https://doi.org/10.1016/j.media.2023.103059},
interhash = {62f3605b28141aa5b87cfc27f639c9c1},
intrahash = {6c542c399066c916c5cc2f41849804a3},
journal = {Medical Image Anal.},
keywords = {dblp},
month = {February},
pages = 103059,
timestamp = {2024-04-08T15:54:46.000+0200},
title = {Encrypted federated learning for secure decentralized collaboration in cancer image analysis.},
url = {http://dblp.uni-trier.de/db/journals/mia/mia92.html#TruhnASMKQWGHJLSBBYCHFHKSIBKKNK24},
volume = 92,
year = 2024
}