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Georgios Kaissis

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Technical University of Munich, Imperial College London

Multi-modal unsupervised brain image registration using edge maps

Feb 09, 2022
Vasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert

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On the Pitfalls of Using the Residual Error as Anomaly Score

Feb 08, 2022
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert

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Differentially Private Graph Classification with GNNs

Feb 08, 2022
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis

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AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation

Jan 24, 2022
Felix Meissen, Georgios Kaissis, Daniel Rueckert

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Distributed Machine Learning and the Semblance of Trust

Dec 21, 2021
Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis

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Joint Learning of Localized Representations from Medical Images and Reports

Dec 06, 2021
Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rückert

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Complex-valued deep learning with differential privacy

Oct 07, 2021
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kerstin Hammernik, Daniel Rueckert, Georgios Kaissis

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Partial sensitivity analysis in differential privacy

Sep 22, 2021
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis

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An automatic differentiation system for the age of differential privacy

Sep 22, 2021
Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

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A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index

Sep 22, 2021
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

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