2 citations · 2 across the 3 of their papers we have counts for
3 papers
Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train
Maximilian Jugl, Sascha Welten, Yongli Mou +4
With the generation of personal and medical data at several locations, medical data science faces unique challenges when working on distributed datasets. Growing data protection re…
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences
Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel +4
Data privacy and ownership are significant in social data science, raising legal and ethical concerns. Sharing and analyzing data is difficult when different parties own different…
Distributed Learning for Melanoma Classification using Personal Health Train
Yongli Mou, Sascha Welten, Yeliz Ucer Yediel +2
Skin cancer is the most common cancer type. Usually, patients with suspicion of cancer are treated by doctors without any aided visual inspection. At this point, dermoscopy has bec…