Daniel Rueckert

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 629

Top Venues

CoRR

IEEE Trans. Medical Imaging

Medical Image Anal.

ISBI

Publications

Tobias Rueckert, Daniel Rueckert, Christoph Palm
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art. Comput. Biol. Medicine 169 (2024)
Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert
Intensity-based 3D motion correction for cardiac MR images. CoRR (2024)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Diffusion Models with Implicit Guidance for Medical Anomaly Detection. CoRR (2024)
Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich
Transformer models in biomedicine. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. CoRR (2024)
Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis
Bounding Reconstruction Attack Success of Adversaries Without Data Priors. CoRR (2024)
Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. CoRR (2024)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Towards Universal Unsupervised Anomaly Detection in Medical Imaging. CoRR (2024)
Siying Xu, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging. CoRR (2024)
Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI. CoRR (2024)
Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. IEEE Trans. Medical Imaging 43 (2) (2024)
Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. CoRR (2024)
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. IEEE Trans. Medical Imaging 43 (8) (2024)
Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze
Link Prediction for Flow-Driven Spatial Networks. WACV (2024)
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. IEEE Trans. Medical Imaging 43 (1) (2024)
Tobias Rueckert, Maximilian Rieder, Hubertus Feussner, Dirk Wilhelm, Daniel Rueckert, Christoph Palm
Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information. Bildverarbeitung für die Medizin (2024)
Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold
Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers. CoRR (2024)
Philip Müller, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling. CoRR (2024)
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. CoRR (2024)
Athira J. Jacob, Puneet Sharma, Daniel Rueckert
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation. CoRR (2024)
Philip Müller, Georgios Kaissis, Daniel Rueckert
ChEX: Interactive Localization and Region Description in Chest X-rays. CoRR (2024)
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller
Visual Privacy Auditing with Diffusion Models. CoRR (2024)
Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten
Specialist vision-language models for clinical ophthalmology. CoRR (2024)
Hendrik Kristian Möller, Robert Graf, Joachim Schmitt, Benjamin Keinert, Matan Atad, Anjany Sekuboyina, Felix Streckenbach, Hanna Schön, Florian Kofler, Thomas Kröncke, Stefanie Bette, Stefan Willich, Thomas Keil, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke
SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation. CoRR (2024)
Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. Medical Image Anal. 91 (2024)
Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. CoRR (2024)
Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. IEEE Trans. Medical Imaging 43 (3) (2024)
Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios Kaissis
Machine Unlearning for Medical Imaging. CoRR (2024)
Eimo Martens, Hans-Ulrich Haase, Giulio Mastella, Andreas Henkel, Christoph Spinner, Franziska Hahn, Congyu Zou, Augusto Fava Sanches, Julia Allescher, Daniel Heid, Elena Strauss, Melanie-Maria Maier, Mark Lachmann, Georg Schmidt, Dominik Westphal, Tobias Haufe, David Federle, Daniel Rueckert, Martin Boeker, Matthias Becker, Karl-Ludwig Laugwitz, Alexander Steger, Alexander Müller
Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine. Frontiers Digit. Health 6 (2024)
Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. Trans. Mach. Learn. Res. 2024 (2024)
Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler
A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR (2024)
Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. Bildverarbeitung für die Medizin (2024)
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis
Kernel Normalized Convolutional Networks. Trans. Mach. Learn. Res. 2024 (2024)
Tobias Rueckert, Daniel Rueckert, Christoph Palm
Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929]. Comput. Biol. Medicine 170 (2024)
Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. 19 (4) (2024)
Marieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan
Federated learning is not a cure-all for data ethics. Nat. Mac. Intell. 6 (4) (2024)
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. CoRR (2024)
Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip H. S. Torr, Ashkan Khakzar
Learning Visual Prompts for Guiding the Attention of Vision Transformers. CoRR (2024)
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. IEEE Trans. Medical Imaging 43 (7) (2024)
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR (2024)
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations. IEEE Trans. Medical Imaging 43 (6) (2024)
Robert Mendel, Tobias Rueckert, Dirk Wilhelm, Daniel Rueckert, Christoph Palm
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation. CoRR (2024)
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training. EICC (2024)
Mehmet Yigit Avci, Emily Chan, Veronika A. M. Zimmer, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders. CoRR (2024)
Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Are Population Graphs Really as Powerful as Believed? Trans. Mach. Learn. Res. 2024 (2024)
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Attention-aware non-rigid image registration for accelerated MR imaging. CoRR (2024)
Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. CoRR (2024)
Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR (2024)
Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold
Topologically faithful multi-class segmentation in medical images. CoRR (2024)
Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. IEEE Trans. Medical Imaging 43 (4) (2024)
Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell
Detecting and clustering swallow events in esophageal long-term high-resolution manometry. CoRR (2024)
Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. CoRR (2024)
Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. CoRR (2024)
Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten
Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4). CoRR (2024)
Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Suhwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR (2024)
Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. CoRR (2023)
Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hämmerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Létourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, et al.
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. CoRR (2023)
Veronika Spieker, Hannah Eichhorn, Kerstin Hammernik, Daniel Rueckert, Christine Preibisch, Dimitrios C. Karampinos, Julia A. Schnabel
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. CoRR (2023)
Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert
MAD: Modality Agnostic Distance Measure for Image Registration. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy. Trans. Mach. Learn. Res. 2023 (2023)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (4) (2023)
Michael Tänzer, Fanwen Wang, Mengyun Qiao, Wenjia Bai, Daniel Rueckert, Guang Yang, Sonia Nielles-Vallespin
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. STACOM@MICCAI (2023)
Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure. CoRR (2023)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. MICCAI (5) (2023)
Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. PIPPI@MICCAI (2023)
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Differentially Private Graph Neural Networks for Whole-Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Adam Marcus, Paul Bentley, Daniel Rueckert
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network. CoRR (2023)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR (2023)
Felix Meissen, Svenja Breuer, Moritz Knolle, Alena Buyx, Ruth Müller, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
(Predictable) Performance Bias in Unsupervised Anomaly Detection. CoRR (2023)
Ioannis Lagogiannis, Felix Meissen, Georgios Kaissis, Daniel Rueckert
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art. CoRR (2023)
Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR (2023)
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. IEEE Trans. Medical Imaging 42 (2) (2023)
Alexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients. ISBI (2023)
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Leveraging gradient-derived metrics for data selection and valuation in differentially private training. CoRR (2023)
Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert
MAD: Modality Agnostic Distance Measure for Image Registration. CoRR (2023)
Felix Meissen, Philip Müller, Georgios Kaissis, Daniel Rueckert
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images. MIDL (2023)
Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions. CoRR (2023)
Paul Hager, Martin J. Menten, Daniel Rueckert
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. CVPR (2023)
Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
Body Fat Estimation from Surface Meshes using Graph Neural Networks. CoRR (2023)
Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. UNSURE@MICCAI (2023)
Taha Emre, Marzieh Oghbaie, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT. CoRR (2023)
Adam Marcus, Paul Bentley, Daniel Rueckert
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network. IEEE Trans. Medical Imaging 42 (12) (2023)
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning. NeurIPS (2023)
Diana Waldmannstetter, Florian Kofler, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Daniel Rueckert, Jan S. Kirschke, Marie Piraud, Bjoern H. Menze
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. CoRR (2023)
Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A Lloyd, Daniel Rueckert, Joseph V. Hajnal
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. CoRR (2023)
Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis
Extended Graph Assessment Metrics for Regression and Weighted Graphs. GRAIL/OCELOT@MICCAI (2023)
Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. MICCAI (8) (2023)
Simon Dahan, Mariana da Silva, Daniel Rueckert, Emma C. Robinson
Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data. CoRR (2023)
Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel
Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. SASHIMI@MICCAI (2023)
Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. CoRR (2023)
Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. MICCAI (1) (2023)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. MIDL (2023)
Robbie Holland, Oliver Leingang, Christopher Holmes, Philipp Anders, Rebecca Kaye, Sophie Riedl, Johannes C. Paetzold, Ivan Ezhov, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. MICCAI (7) (2023)
Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks. ACM Trans. Priv. Secur. 26 (3) (2023)
Tobias Rueckert, Daniel Rueckert, Christoph Palm
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art. CoRR (2023)
Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller
Atlas-Based Interpretable Age Prediction. CoRR (2023)
Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Anal. 83 (2023)
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. AISec@CCS (2023)
Alexander Ziller, Alp Güvenir, Ayhan Can Erdur, Tamara T. Mueller, Philip Müller, Friederike Jungmann, Johannes Brandt, Jan Peeken, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Explainable 2D Vision Models for 3D Medical Data. CoRR (2023)

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Daniel Rueckert