Rueckert, Daniel

45 publications

CVPR 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten

WACV 2025 Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhof, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

NeurIPS 2025 Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis

TMLR 2025 Improved Localized Machine Unlearning Through the Lens of Memorization Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou

ICLR 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis

ICLR 2025 SIM: Surface-Based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Simon Dahan, Gabriel Bénédict, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Claire Robinson

ICLR 2025 Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation Laurin Lux, Alexander H Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold

TMLR 2025 Visual Privacy Auditing with Diffusion Models Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Sarah Lockfisch, Daniel Rueckert, Alexander Ziller

TMLR 2024 A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations Tamara T. Müller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis

TMLR 2024 Are Population Graphs Really as Powerful as Believed? Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert

ICML 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert

ECCV 2024 ChEX: Interactive Localization and Region Description in Chest X-Rays Philip Müller, Georgios Kaissis, Daniel Rueckert

MIDL 2024 Imbalance-Aware Loss Functions Improve Medical Image Classification Daniel Scholz, Ayhan Can Erdur, Josef A Buchner, Jan C Peeken, Daniel Rueckert, Benedikt Wiestler

TMLR 2024 Kernel Normalized Convolutional Networks Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

WACV 2024 Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern Menze

MIDL 2024 Modeling the Acquisition Shift Between Axial and Sagittal MRI for Diffusion Superresolution to Enable Axial Spine Segmentation Robert Graf, Hendrik Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke

MIDL 2024 SINR: Spline-Enhanced Implicit Neural Representation for Multi-Modal Registration Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert

MIDL 2024 Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson

MIDL 2024 The Multiscale Surface Vision Transformer Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson

MIDL 2024 VariViT: A Vision Transformer for Variable Image Sizes Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler

ICCV 2023 A Skeletonization Algorithm for Gradient-Based Optimization Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert

CVPR 2023 Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager, Martin J. Menten, Daniel Rueckert

CVPR 2023 Interactive and Explainable Region-Guided Radiology Report Generation Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert

TMLR 2023 Label Noise-Robust Learning Using a Confidence-Based Sieving Strategy Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis

ICMLW 2023 Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection Through Automatic Diffusion Models Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A Schnabel

MIDL 2023 On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert

NeurIPS 2023 Optimal Privacy Guarantees for a Relaxed Threat Model: Addressing Sub-Optimal Adversaries in Differentially Private Machine Learning Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert

NeurIPSW 2023 Privacy-Utility Trade-Offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure Tamara Müller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis

NeurIPSW 2023 Self-Supervised Low-Rank Plus Sparse Network for Radial MRI Reconstruction Andrei Mancu, Wenqi Huang, Gastao Lima da Cruz, Daniel Rueckert, Kerstin Hammernik

MIDL 2023 Surface Vision Transformers: Attention-Based Modelling Applied to Cortical Analysis Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson

ECCV 2022 Joint Learning of Localized Representations from Medical Images and Reports Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert

NeurIPSW 2021 An Automatic Differentiation System for the Age of Differential Privacy Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis

ECCV 2020 Self-Supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

MLHC 2019 Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard

WACV 2018 Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker

ICML 2018 Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

CVPRW 2016 Discrete Optimisation for Group-Wise Cortical Surface Atlasing Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert

CVPRW 2016 Fast Deformable Image Registration with Non-Smooth Dual Optimization Martin Rajchl, John S. H. Baxter, Wu Qiu, Ali R. Khan, Aaron Fenster, Terry M. Peters, Daniel Rueckert, Jing Yuan

CVPR 2016 Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang

CVPR 2014 Patch-Based Evaluation of Image Segmentation Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert

CVPRW 2012 Fast and Accurate Global Geodesic Registrations Using Knee MRI from the Osteoarthritis Initiative Claire R. Donoghue, Anil Rao, Luis Pizarro, Anthony M. J. Bull, Daniel Rueckert

ECCV 2008 Sample Sufficiency and PCA Dimension for Statistical Shape Models Lin Mei, Michael Figl, Ara Darzi, Daniel Rueckert, Philip J. Edwards

CVPRW 2008 Statistical Shape Modelling: How Many Modes Should Be Retained? Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards

CVPRW 2006 Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures Anil Rao, Timothy F. Cootes, Daniel Rueckert

ECCV 2006 Quantification of Growth and Motion Using Non-Rigid Registration Daniel Rueckert, Raghavendra Chandrashekara, Paul Aljabar, Kanwal K. Bhatia, James P. Boardman, Latha Srinivasan, Mary A. Rutherford, Leigh Dyet, A. David Edwards, Joseph V. Hajnal, Raad Mohiaddin