Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Conference Paper
%1 conf/goodit/RajotteMROWFN21
%A Rajotte, Jean-François
%A Mukherjee, Sumit
%A Robinson, Caleb
%A Ortiz, Anthony
%A West, Christopher
%A Ferres, Juan M. Lavista
%A Ng, Raymond T.
%B GoodIT
%D 2021
%E Gaggi, Ombretta
%E Manzoni, Pietro
%E Palazzi, Claudio E.
%I ACM
%K dblp
%P 79-84
%T Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
%U http://dblp.uni-trier.de/db/conf/goodit/goodit2021.html#RajotteMROWFN21
%@ 978-1-4503-8478-0
@inproceedings{conf/goodit/RajotteMROWFN21,
added-at = {2021-08-22T00:00:00.000+0200},
author = {Rajotte, Jean-François and Mukherjee, Sumit and Robinson, Caleb and Ortiz, Anthony and West, Christopher and Ferres, Juan M. Lavista and Ng, Raymond T.},
biburl = {https://www.bibsonomy.org/bibtex/2acc366108f8aaddfd7374f67ac2899cb/dblp},
booktitle = {GoodIT},
crossref = {conf/goodit/2021},
editor = {Gaggi, Ombretta and Manzoni, Pietro and Palazzi, Claudio E.},
ee = {https://doi.org/10.1145/3462203.3475875},
interhash = {9f8b2c68e3a4a3831f9018ca80f2c79f},
intrahash = {acc366108f8aaddfd7374f67ac2899cb},
isbn = {978-1-4503-8478-0},
keywords = {dblp},
pages = {79-84},
publisher = {ACM},
timestamp = {2024-04-09T22:00:28.000+0200},
title = {Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.},
url = {http://dblp.uni-trier.de/db/conf/goodit/goodit2021.html#RajotteMROWFN21},
year = 2021
}