Tamara T. Mueller

According to our database, Tamara T. Mueller authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.

Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert

CoRR, 2024

Bounding Reconstruction Attack Success of Adversaries Without Data Priors.

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

CoRR, 2024

2023

Differentially Private Graph Neural Networks for Whole-Graph Classification.

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

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging.

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

CoRR, 2023

Extended Graph Assessment Metrics for Graph Neural Networks.

Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis

CoRR, 2023

Atlas-Based Interpretable Age Prediction.

Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller

CoRR, 2023

Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.

Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis

CoRR, 2023

Explainable 2D Vision Models for 3D Medical Data.

Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

CoRR, 2023

Body Fat Estimation from Surface Meshes Using Graph Neural Networks.

Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert

Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Extended Graph Assessment Metrics for Regression and Weighted Graphs.

Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.

Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Gradient Self-alignment in Private Deep Learning.

David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

Privacy: An Axiomatic Approach.

Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

Entropy, 2022

How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

SoK: Differential Privacy on Graph-Structured Data.

Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

Differentially Private Graph Classification with GNNs.

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

CoRR, 2022

2021

Partial sensitivity analysis in differential privacy.

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

CoRR, 2021