Thambawita, Vajira; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-09)
Recent global developments underscore the prominent role big data have in modern medical science.
But privacy issues constitute a prevalent problem for collecting and sharing data between researchers.
However, synthetic data generated to represent real data carrying similar information and distribution
may alleviate the privacy issue. In this study, we present generative adversarial networks ...