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Georgios Kaissis

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Visual Privacy Auditing with Diffusion Models

Mar 12, 2024
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller

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Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers

Mar 11, 2024
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

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Bounding Reconstruction Attack Success of Adversaries Without Data Priors

Feb 20, 2024
Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis

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Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling

Feb 19, 2024
Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert

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How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection

Dec 06, 2023
Felix Meissen, Johannes Getzner, Alexander Ziller, Georgios Kaissis, Daniel Rueckert

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Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging

Dec 05, 2023
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

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SoK: Memorisation in machine learning

Nov 06, 2023
Dmitrii Usynin, Moritz Knolle, Georgios Kaissis

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Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Sep 28, 2023
Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis

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(Predictable) Performance Bias in Unsupervised Anomaly Detection

Sep 25, 2023
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rückert

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MAD: Modality Agnostic Distance Measure for Image Registration

Sep 06, 2023
Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert

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