Tamara T. Mueller

28 papers Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
IEEE Trans. Medical Imaging
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2025 J jnl
AI-driven preclinical disease risk assessment using imaging in UK biobank.
npj Digit. Medicine
Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren
2025 — conf
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization.
ShapeMI@MICCAI
Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert
2025 J jnl
Parametric shape models for vessels learned from segmentations via differentiable voxelization.
CoRR
Alina F. Dima, Suprosanna Shit, Huaqi Qiu, Robbie Holland, Tamara T. Mueller, Fabio Musio, Kaiyuan Yang, Bjoern H. Menze, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert
2024 J jnl
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations.
Trans. Mach. Learn. Res.
Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
2024 J jnl
Bounding Reconstruction Attack Success of Adversaries Without Data Priors.
CoRR
Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
2024 J jnl
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
CoRR
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
2024 — conf
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure.
ISBI
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2024 J jnl
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results.
J. Priv. Confidentiality
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2024 J jnl
Reconciling privacy and accuracy in AI for medical imaging.
Nat. Mac. Intell.
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023 — conf
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
GRAIL/OCELOT@MICCAI
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 J jnl
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
CoRR
Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
2023 J jnl
Atlas-Based Interpretable Age Prediction.
CoRR
Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller
2023 — conf
Body Fat Estimation from Surface Meshes Using Graph Neural Networks.
ShapeMI@MICCAI
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Body Fat Estimation from Surface Meshes using Graph Neural Networks.
CoRR
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
2023 J jnl
Differentially Private Graph Neural Networks for Whole-Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Explainable 2D Vision Models for 3D Medical Data.
CoRR
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Extended Graph Assessment Metrics for Graph Neural Networks.
CoRR
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
2023 — conf
Extended Graph Assessment Metrics for Regression and Weighted Graphs.
GRAIL/OCELOT@MICCAI
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
2023 — conf
Gradient Self-alignment in Private Deep Learning.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
2023 J jnl
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging.
CoRR
Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Differentially Private Graph Classification with GNNs.
CoRR
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
2022 J jnl
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
CoRR
Tamara T. Mueller, Stefan Kolek, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Privacy: An Axiomatic Approach.
Entropy
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2022 J jnl
Privacy: An axiomatic approach.
CoRR
Alexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
2022 J jnl
SoK: Differential Privacy on Graph-Structured Data.
CoRR
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
2021 J jnl
Partial sensitivity analysis in differential privacy.
CoRR
Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis