Tamara T. Mueller

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 21

Top Topics

Graph Construction

Differential Privacy

Medical Imaging

Top Venues

GRAIL/OCELOT@MICCAI

ISIC/Care-AI/MedAGI/DeCaF@MICCAI

Publications

Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
Bounding Reconstruction Attack Success of Adversaries Without Data Priors. CoRR (2024)
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. CoRR (2024)
Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. Trans. Mach. Learn. Res. 2024 (2024)
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure. CoRR (2023)
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Differentially Private Graph Neural Networks for Whole-Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Body Fat Estimation from Surface Meshes using Graph Neural Networks. CoRR (2023)
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
Extended Graph Assessment Metrics for Regression and Weighted Graphs. GRAIL/OCELOT@MICCAI (2023)
Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller
Atlas-Based Interpretable Age Prediction. CoRR (2023)
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Explainable 2D Vision Models for 3D Medical Data. CoRR (2023)
David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
Gradient Self-alignment in Private Deep Learning. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. CoRR (2023)
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
Extended Graph Assessment Metrics for Graph Neural Networks. CoRR (2023)
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. GRAIL/OCELOT@MICCAI (2023)
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Body Fat Estimation from Surface Meshes Using Graph Neural Networks. ShapeMI@MICCAI (2023)
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging. CoRR (2023)
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Privacy: An axiomatic approach. CoRR (2022)
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Differentially Private Graph Classification with GNNs. CoRR (2022)
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Privacy: An Axiomatic Approach. Entropy 24 (5) (2022)
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
SoK: Differential Privacy on Graph-Structured Data. CoRR (2022)
Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
How Do Input Attributes Impact the Privacy Loss in Differential Privacy? CoRR (2022)
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis
Partial sensitivity analysis in differential privacy. CoRR (2021)