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Tamara T. Müller
Tamara T. Müller
Bestätigte E-Mail-Adresse bei tum.de
Titel
Zitiert von
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Jahr
Multi-omics data integration methods and their applications in psychiatric disorders
A Sathyanarayanan, TT Mueller, MA Moni, K Schueler, BT Baune, P Lio, ...
European Neuropsychopharmacology 69, 26-46, 2023
362023
Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus …
S Ziegelmayer, G Kaissis, F Harder, F Jungmann, T Müller, M Makowski, ...
Journal of clinical medicine 9 (12), 4013, 2020
362020
SoK: Differential Privacy on Graph-Structured Data
TT Mueller, D Usynin, JC Paetzold, D Rueckert, G Kaissis
arXiv preprint arXiv:2203.09205, 2022
212022
Differentially Private Graph Classification with GNNs
TT Mueller, JC Paetzold, C Prabhakar, D Usynin, D Rueckert, G Kaissis
arXiv preprint arXiv:2202.02575, 2022
192022
Differentially Private Graph Neural Networks for Whole-Graph Classification
TT Mueller, JC Paetzold, C Prabhakar, D Usynin, D Rueckert, G Kaissis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
162022
PECLIDES neuro: A personalisable clinical decision support system for neurological diseases
TT Müller, P Lio
Frontiers in Artificial Intelligence 3, 23, 2020
112020
Duplicate Detection of Spike Events: A Relevant Problem in Human Single-Unit Recordings
G Dehnen, MS Kehl, A Darcher, TT Müller, JH Macke, V Borger, R Surges, ...
Brain Sciences 11 (6), 761, 2021
92021
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations
TT Müller, S Starck, A Dima, S Wunderlich, KM Bintsi, K Zaripova, ...
Transactions on Machine Learning Research, 2023
42023
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results
TT Mueller, D Usynin, JC Paetzold, R Braren, D Rueckert, G Kaissis
Journal of Privacy and Confidentiality 14 (1), 2024
32024
Partial sensitivity analysis in differential privacy
TT Mueller, A Ziller, D Usynin, M Knolle, F Jungmann, D Rueckert, ...
arXiv preprint arXiv:2109.10582, 2021
32021
Reconciling privacy and accuracy in AI for medical imaging
A Ziller, TT Mueller, S Stieger, LF Feiner, J Brandt, R Braren, D Rueckert, ...
Nature Machine Intelligence, 1-11, 2024
22024
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
KM Bintsi, TT Mueller, S Starck, V Baltatzis, A Hammers, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
Body Fat Estimation from Surface Meshes Using Graph Neural Networks
TT Mueller, S Zhou, S Starck, F Jungmann, A Ziller, O Aksoy, D Movchan, ...
International Workshop on Shape in Medical Imaging, 105-117, 2023
22023
How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
TT Mueller, S Kolek, F Jungmann, A Ziller, D Usynin, M Knolle, ...
arXiv preprint arXiv:2211.10173, 2022
22022
Personalisable clinical decision support system
T Muller, P Lio
ERCIM NEWS, 19-20, 2019
22019
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
S Starck, V Sideri-Lampretsa, B Kainz, M Menten, T Mueller, D Rueckert
arXiv preprint arXiv:2403.16776, 2024
12024
Explainable 2D Vision Models for 3D Medical Data
A Ziller, A Güvenir, AC Erdur, TT Mueller, P Müller, F Jungmann, J Brandt, ...
arXiv preprint arXiv:2307.06614, 2023
12023
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
TT Mueller, M Chevli, A Daigavane, D Rueckert, G Kaissis
arXiv preprint arXiv:2307.06760, 2023
12023
Atlas-Based Interpretable Age Prediction In Whole-Body MR Images
S Starck, YV Kini, JJ Maria, RB Ritter, D Rückert, T Müller
arXiv preprint arXiv:2307.07439, 2023
12023
Privacy: An axiomatic approach
A Ziller, TT Mueller, R Braren, D Rueckert, G Kaissis
Entropy 24 (5), 714, 2022
12022
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