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 | 36 | 2023 |
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 | 36 | 2020 |
SoK: Differential Privacy on Graph-Structured Data TT Mueller, D Usynin, JC Paetzold, D Rueckert, G Kaissis arXiv preprint arXiv:2203.09205, 2022 | 21 | 2022 |
Differentially Private Graph Classification with GNNs TT Mueller, JC Paetzold, C Prabhakar, D Usynin, D Rueckert, G Kaissis arXiv preprint arXiv:2202.02575, 2022 | 19 | 2022 |
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 | 16 | 2022 |
PECLIDES neuro: A personalisable clinical decision support system for neurological diseases TT Müller, P Lio Frontiers in Artificial Intelligence 3, 23, 2020 | 11 | 2020 |
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 | 9 | 2021 |
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 | 4 | 2023 |
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 | 3 | 2024 |
Partial sensitivity analysis in differential privacy TT Mueller, A Ziller, D Usynin, M Knolle, F Jungmann, D Rueckert, ... arXiv preprint arXiv:2109.10582, 2021 | 3 | 2021 |
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 | 2 | 2024 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2022 |
Personalisable clinical decision support system T Muller, P Lio ERCIM NEWS, 19-20, 2019 | 2 | 2019 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2023 |
Privacy: An axiomatic approach A Ziller, TT Mueller, R Braren, D Rueckert, G Kaissis Entropy 24 (5), 714, 2022 | 1 | 2022 |