Publications

Here you can find an overview of our publications.

Selection of publications of the partners relevant to the project:

Herr, M., Graf, M., Placzek, P., König, F., Bötte, F., Stickel, T., Hieber, D., Zimmermann, L., Slupina, M., Mohr, C., Biergans, S., Akgün, M., Pfeifer, N., & Kohlbacher, O. (2022). Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). arXiv (Cornell University). Link

Ziller, A., Trask, A., Lopardo, A., Szymkow, B., Wagner, B., Bluemke, E., Nounahon, J., Passerat-Palmbach, J., Prakash, K., Rose, N., Ryffel, T., Reza, Z. N., & Kaissis, G. (2021). PySyft: A Library for Easy Federated Learning. In Springer eBooks (pp. 111–139). Link

Kaissis, G., Ziller, A., Passerat-Palmbach, J., Ryffel, T., Usynin, D., Trask, A., Lima, I., Mancuso, J., Jungmann, F., Steinborn, M., Saleh, A., Makowski, M. R., Rueckert, D., & Braren, R. (2021). End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nature Machine Intelligence, 3(6), 473–484. Link

Prasser, F., Kohlmayer, F., Lautenschläger, R., & Kuhn, K. A. (2014). ARX - A comprehensive tool for anonymizing biomedical data. In AMIA Annual Symposium Proceedings (Vol. 2014, p. 984). American Medical Informatics Association. [Washington DC, 15.-19. November 2014: AMIA Annual Symposium, 2014] Link

Wirth, F., Meurers, T., Johns, M., & Prasser, F. (2021). Privacy-preserving data sharing infrastructures for medical research: systematization and comparison. BMC Medical Informatics and Decision Making, 21(1). Link

Scherer, J., Nolden, M., Kleesiek, J., Metzger, J., Kades, K., Schneider, V., Bach, M., Sedlaczek, O., Bucher, A. M., Vogl, T. J., Grünwald, F., Kuhn, J., Hoffmann, R., Kotzerke, J., Bethge, O. T., Schimmöller, L., Antoch, G., Müller, H., Daul, A., . . . Maier-Hein, K. H. (2020). Joint Imaging Platform for Federated Clinical Data Analytics. JCO Clinical Cancer Informatics, 4, 1027–1038. Link