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ORCIDDaniel Rueckert
Daniel Rückert
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- affiliation: Technical University of Munich, Germany
- affiliation: Imperial College London, UK
- award (2025): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2026
[j227]Hendrik Kristian Möller, Lukas Krautschick, Robert Graf
, Matan Atad, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke, Fabian Paperlein:
PARASIDE: An automatic paranasal sinus segmentation and structure analysis tool for magnetic resonance imaging. Comput. Biol. Medicine 204: 111511 (2026)- [j226]Anna Reithmeir, Veronika Spieker, Vasiliki Sideri-Lampretsa, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer:
From model based to learned regularization in medical image registration: A comprehensive review. Medical Image Anal. 108: 103854 (2026) - [j225]Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel:
PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI. Medical Image Anal. 109: 103890 (2026) - [j224]Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm:
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. Medical Image Anal. 109: 103945 (2026) - [j223]Aswathi Varma, Daniel Scholz, Ayhan Can Erdur, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
Improving out-of-domain generalization in Multiple Sclerosis detection and segmentation using Random Convolutions. Pattern Recognit. Lett. 199: 98-105 (2026) - [j222]Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert:
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. IEEE Trans. Medical Imaging 45(1): 257-268 (2026) - [j221]Maik Dannecker, Vasiliki Sideri-Lampretsa, Sophie Starck, Angeline Mihailov, Mathieu Milh, Nadine Girard, Guillaume Auzias, Daniel Rueckert:
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain. IEEE Trans. Medical Imaging 45(2): 738-750 (2026) - [c540]Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel:
Master Class on Reproducibility - A Student Hackathon on Advanced MRI Reconstruction Methods. Bildverarbeitung für die Medizin 2026: 146-153 - [i361]Johannes Kaiser, Alexander Ziller, Eleni Triantafillou, Daniel Rückert, Georgios Kaissis:
Your Privacy Depends on Others: Collusion Vulnerabilities in Individual Differential Privacy. CoRR abs/2601.12922 (2026) - [i360]Hendrik Kristian Möller, Hanna Schön, Robert Graf, Matan Atad, Nathan Molinier, Anjany Sekuboyina, Bettina K. Budai, Fabian Bamberg, Steffen Ringhof, Christopher Schlett, Tobias Pischon, Thoralf Niendorf, Josua A. Decker, Marc-André Weber, Bjoern Menze, Daniel Rueckert, Jan S. Kirschke:
VERIDAH: Solving Enumeration Anomaly Aware Vertebra Labeling across Imaging Sequences. CoRR abs/2601.14066 (2026) - [i359]Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rüdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert:
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models. CoRR abs/2601.17480 (2026) - [i358]Lina Felsner, Sevgi Gokce Kafali, Hannah Eichhorn, Agnes A. J. Leth, Aidas Batvinskas, André Datchev, Fabian Klemm, Jan Aulich, Puntika Leepagorn, Ruben Klinger, Daniel Rueckert, Julia A. Schnabel:
A Master Class on Reproducibility: A Student Hackathon on Advanced MRI Reconstruction Methods. CoRR abs/2601.18314 (2026) - [i357]Nikola Cenikj, Özgün Turgut, Alexander Müller, Alexander Steger, Jan Kehrer, Marcus Brugger, Daniel Rueckert, Eimo Martens, Philip Müller:
Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data. CoRR abs/2602.02067 (2026) - 2025
- [j220]Matan Atad, Gabriel Gruber, Marx Ribeiro, Luis Fernando Nicolini, Robert Graf, Hendrik Kristian Möller, Kati Nispel, Ivan Ezhov, Daniel Rueckert, Jan S. Kirschke:
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral disc. Comput. Biol. Medicine 186: 109646 (2025) - [j219]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. Comput. Medical Imaging Graph. 120: 102475 (2025) - [j218]Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. Medical Image Anal. 100: 103394 (2025) - [j217]Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert:
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. Medical Image Anal. 101: 103451 (2025) - [j216]Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan:
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. Medical Image Anal. 106: 103756 (2025) - [j215]Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, Toby Prevost, Lars Fritsche, Kristina Pfau, Maximilian Pfau:
Specialized curricula for training vision language models in retinal image analysis. npj Digit. Medicine 8(1) (2025) - [j214]Dmitrii Seletkov, Sophie Starck, Tamara T. Mueller, Yundi Zhang, Lisa Steinhelfer, Daniel Rueckert, Rickmer Braren:
AI-driven preclinical disease risk assessment using imaging in UK biobank. npj Digit. Medicine 8(1) (2025) - [j213]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. IEEE Trans. Medical Imaging 44(1): 221-231 (2025) - [j212]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. IEEE Trans. Medical Imaging 44(3): 1297-1307 (2025) - [j211]Siying Xu, Marcel Früh, Kerstin Hammernik, Andreas Lingg, Jens Kübler, Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner:
Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction. IEEE Trans. Medical Imaging 44(9): 3858-3869 (2025) - [j210]Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz:
Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic. IEEE Trans. Medical Imaging 44(12): 5221-5232 (2025) - [j209]Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Sarah Lockfisch, Daniel Rueckert, Alexander Ziller:
Visual Privacy Auditing with Diffusion Models. Trans. Mach. Learn. Res. 2025 (2025) - [j208]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou:
Improved Localized Machine Unlearning Through the Lens of Memorization. Trans. Mach. Learn. Res. 2025 (2025) - [c539]Zeineb Haouari, Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models. Bildverarbeitung für die Medizin 2025: 57-62 - [c538]Jonas Weidner, Michal Balcerak, Ivan Ezhov, André Datchev, Laurin Lux, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration. CMMCA@MICCAI 2025: 1-10 - [c537]Martin Hartenberger, Huzeyfe Ayaz, Fatih Ozlugedik, Charly Caredda, Luca Giannoni, Frédéric Lange, Laurin Lux, Jonas Weidner, Alexander H. Berger, Florian Kofler, Martin J. Menten, Bruno Montcel, Ilias Tachtsidis, Daniel Rueckert, Ivan Ezhov:
Redefining Spectral Unmixing for In-Vivo Brain Tissue Analysis from Hyperspectral Imaging. CMMCA@MICCAI 2025: 40-49 - [c536]David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten:
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. CVPR 2025: 10305-10314 - [c535]Simon Dahan, Gabriel Bénédict, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Claire Robinson:
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments. ICLR 2025 - [c534]Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis:
Laplace Sample Information: Data Informativeness Through a Bayesian Lens. ICLR 2025 - [c533]Laurin Lux, Alexander H. Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation. ICLR 2025 - [c532]Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert:
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. IPMI (1) 2025: 168-183 - [c531]Alexander H. Berger, Laurin Lux, Alexander Weers, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Pitfalls of Topology-Aware Image Segmentation. IPMI (1) 2025: 297-312 - [c530]Jonas Weidner, Ivan Ezhov, Michal Balcerak, André Datchev, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging. CDMRI@MICCAI 2025: 1-9 - [c529]Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu:
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off. BRIDGE/DeCaF@MICCAI 2025: 5-14 - [c528]Tobias Susetzky, Huaqi Qiu, Rickmer Braren, Daniel Rueckert:
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data. MICCAI (1) 2025: 24-33 - [c527]Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert:
Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features. PRIME@MICCAI 2025: 47-57 - [c526]Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Vladyslav Zalevskyi, Steven Jia, Jean-Baptiste Ledoux, Guillaume Auzias, François Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra:
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping. PIPPI@MICCAI 2025: 61-72 - [c525]Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kübler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Küstner:
Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI. GRAIL/RIME@MICCAI 2025: 97-107 - [c524]Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert:
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method. MICCAI (6) 2025: 100-110 - [c523]Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke:
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine. DT4H@MICCAI 2025: 109-118 - [c522]Athira J. Jacob, Puneet Sharma, Daniel Rueckert:
LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification. MedAGI 2025: 120-129 - [c521]Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren:
Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment. AMAI@MICCAI 2025: 184-194 - [c520]Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rueckert:
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. MICCAI (1) 2025: 217-227 - [c519]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:
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization. ShapeMI@MICCAI 2025: 247-261 - [c518]Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan:
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI. DGM4MICCAI@MICCAI 2025: 265-276 - [c517]Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink:
GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment. ShapeMI@MICCAI 2025: 277-291 - [c516]Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis. MICCAI (8) 2025: 320-330 - [c515]Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke:
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. MICCAI (13) 2025: 328-338 - [c514]Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert:
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. MICCAI (7) 2025: 337-347 - [c513]Maik Dannecker, Daniel Rueckert:
Predicting Longitudinal Brain Development via Implicit Neural Representations. MICCAI (11) 2025: 477-487 - [c512]Wenqi Huang, Nan Wang, Congyu Liao, Yimeng Lin, Mengze Gao, Daniel Rueckert, Kawin Setsompop:
Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging. MICCAI (3) 2025: 481-490 - [c511]Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken:
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder. MLMI@MICCAI 2025: 572-582 - [c510]Kristian Schwethelm, Johannes Kaiser, Jonas Kuntzer, Mehmet Yigitsoy, Daniel Rückert, Georgios Kaissis:
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy. SaTML 2025: 858-878 - [c509]Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov:
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation. SIPAIM 2025: 1-5 - [c508]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. WACV 2025: 64-74 - [d3]Tobias Rueckert, Raphaela Maerkl, David Rauber, Leonard Klausmann, Max Gutbrod, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm:
PhaKIR Dataset - Surgical Procedure Phase, Keypoint, and Instrument Recognition. Zenodo, 2025
- [d2]Paul Friedrich, Florentin Bieder, Julian McGinnis, Julia Wolleb, Daniel Rueckert, Philippe C. Cattin:
MedNF. Zenodo, 2025 - [i356]Zeineb Haouari, Jonas Weidner, Ivan Ezhov, Aswathi Varma, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models. CoRR abs/2501.08226 (2025) - [i355]Bailiang Jian, Jiazhen Pan, Yitong Li, Fabian Bongratz, Ruochen Li, Daniel Rueckert, Benedikt Wiestler, Christian Wachinger:
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis. CoRR abs/2501.08667 (2025) - [i354]Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel:
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. CoRR abs/2501.09403 (2025) - [i353]Fabian Drexel, Vasiliki Sideri-Lampretsa, Henriette Bast, Alexander W. Marka, Thomas Koehler, Florian T. Gassert, Daniela Pfeiffer, Daniel Rueckert, Franz Pfeiffer:
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment. CoRR abs/2501.10757 (2025) - [i352]Hendrik Kristian Möller, Lukas Krautschick, Matan Atad, Robert Graf, Chia-Jung Busch, Achim Beule, Christian Scharf, Lars Kaderali, Bjoern H. Menze, Daniel Rueckert, Jan Kirschke, Fabian Schwitzing:
PARASIDE: An Automatic Paranasal Sinus Segmentation and Structure Analysis Tool for MRI. CoRR abs/2501.14514 (2025) - [i351]Simon Dahan, Gabriel Bénédict, Logan Z. J. Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma C. Robinson:
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments. CoRR abs/2501.16471 (2025) - [i350]Athira J. Jacob, Puneet Sharma, Daniel Rueckert:
Fake It Till You Make It: Using Synthetic Data and Domain Knowledge for Improved Text-Based Learning for LGE Detection. CoRR abs/2502.12948 (2025) - [i349]Robert Graf, Hendrik Kristian Möller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Völzke, Robin Bülow, Klaus Berger, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke:
MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. CoRR abs/2502.14659 (2025) - [i348]Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Alaa E. Fayed, Sobha Sivaprasad, Linus Kreitner, Jonas Weidner, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations. CoRR abs/2502.16697 (2025) - [i347]Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert:
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. CoRR abs/2502.19634 (2025) - [i346]Özgün Turgut, Felix S. Bott, Markus Ploner, Daniel Rueckert:
Are foundation models useful feature extractors for electroencephalography analysis? CoRR abs/2502.21086 (2025) - [i345]Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu:
Evaluation of Alignment-Regularity Characteristics in Deformable Image Registration. CoRR abs/2503.07185 (2025) - [i344]Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold:
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis. CoRR abs/2503.11846 (2025) - [i343]David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten:
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. CoRR abs/2503.17024 (2025) - [i342]Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan:
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond. CoRR abs/2504.13037 (2025) - [i341]Hendrik Kristian Möller, Hanna Schön, Alina Dima, Benjamin Keinert-Weth, Robert Graf, Matan Atad, Johannes C. Paetzold, Friederike Jungmann, Rickmer Braren, Florian Kofler, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke:
Automated Thoracolumbar Stump Rib Detection and Analysis in a Large CT Cohort. CoRR abs/2505.05004 (2025) - [i340]Maik Dannecker, Thomas Sanchez, Meritxell Bach Cuadra, Özgün Turgut, Anthony N. Price, Lucilio Cordero-Grande, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert:
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations. CoRR abs/2505.09565 (2025) - [i339]Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis:
Laplace Sample Information: Data Informativeness Through a Bayesian Lens. CoRR abs/2505.15303 (2025) - [i338]Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci:
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL. CoRR abs/2505.17952 (2025) - [i337]Maik Dannecker, Vasiliki Sideri-Lampretsa, Sophie Starck, Angeline Mihailov, Mathieu Milh, Nadine Girard, Guillaume Auzias, Daniel Rueckert:
CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain. CoRR abs/2506.09668 (2025) - [i336]Alexander Selivanov, Philip Müller, Özgün Turgut, Nil Stolt Ansó, Daniel Rückert:
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. CoRR abs/2506.20683 (2025) - [i335]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:
Parametric shape models for vessels learned from segmentations via differentiable voxelization. CoRR abs/2507.02576 (2025) - [i334]Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik Kristian Möller, Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, Bjoern H. Menze:
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis. CoRR abs/2507.09036 (2025) - [i333]Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci:
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study. CoRR abs/2507.11200 (2025) - [i332]Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm:
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. CoRR abs/2507.16559 (2025) - [i331]Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan:
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI. CoRR abs/2507.19186 (2025) - [i330]Sarah Lockfisch, Kristian Schwethelm, Martin J. Menten, Rickmer Braren, Daniel Rueckert, Alexander Ziller, Georgios Kaissis:
On Arbitrary Predictions from Equally Valid Models. CoRR abs/2507.19408 (2025) - [i329]Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz:
Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. CoRR abs/2507.23763 (2025) - [i328]Jiazhen Pan, Bailiang Jian, Paul Hager, Yundi Zhang, Che Liu, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert:
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. CoRR abs/2508.00923 (2025) - [i327]Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren:
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment. CoRR abs/2508.02307 (2025) - [i326]Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Vladyslav Zalevskyi, Steven Jia, Jean-Baptiste Ledoux, Guillaume Auzias, François Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra:
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping. CoRR abs/2508.10680 (2025) - [i325]Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan:
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction. CoRR abs/2508.13826 (2025) - [i324]Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell:
On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines. CoRR abs/2508.14482 (2025) - [i323]Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Möller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke:
Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine. CoRR abs/2508.14708 (2025) - [i322]Tim Mach, Daniel Rueckert, Alexander H. Berger, Laurin Lux, Ivan Ezhov:
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation. CoRR abs/2508.16934 (2025) - [i321]Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink:
GReAT: leveraging geometric artery data to improve wall shear stress assessment. CoRR abs/2508.19030 (2025) - [i320]Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci:
Does DINOv3 Set a New Medical Vision Standard? CoRR abs/2509.06467 (2025) - [i319]Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert:
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method. CoRR abs/2509.06592 (2025) - [i318]Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis. CoRR abs/2509.06617 (2025) - [i317]Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken:
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder. CoRR abs/2509.11442 (2025) - [i316]Adil Koeken, Alexander Ziller, Moritz Knolle, Daniel Rueckert:
Sensitivity, Specificity, and Consistency: A Tripartite Evaluation of Privacy Filters for Synthetic Data Generation. CoRR abs/2510.01793 (2025) - [i315]Linus Kreitner, Paul Hager, Jonathan Mengedoht, Georgios Kaissis, Daniel Rueckert, Martin J. Menten:
Efficient numeracy in language models through single-token number embeddings. CoRR abs/2510.06824 (2025) - [i314]Valentin Biller, Lucas Zimmer, Can Erdur, Sandeep Nagar, Daniel Rückert, Niklas Bubeck, Jonas Weidner:
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis. CoRR abs/2510.09365 (2025) - [i313]Johannes Moll, Markus M. Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem:
Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations. CoRR abs/2510.11196 (2025) - [i312]Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis:
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks. CoRR abs/2510.25480 (2025) - [i311]Tobias Rueckert, Raphaela Maerkl, David Rauber, Leonard Klausmann, Max Gutbrod, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm:
Video Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR). CoRR abs/2511.06549 (2025) - [i310]Johannes Brandt, Maulik Chevli, Rickmer Braren, Georgios Kaissis, Philip Müller, Daniel Rueckert:
LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening. CoRR abs/2511.20116 (2025) - [i309]Bailiang Jian, Jiazhen Pan, Rohit Jena, Morteza Ghahremani, Hongwei Bran Li, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler:
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies. CoRR abs/2512.01913 (2025) - [i308]Matan Atad, Alexander W. Marka, Lisa Steinhelfer, Anna Curto-Vilalta, Yannik Leonhardt, Sarah C. Foreman, Anna-Sophia Dietrich, Robert Graf, Alexandra S. Gersing, Bjoern H. Menze, Daniel Rueckert, Jan S. Kirschke, Hendrik Kristian Möller:
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT. CoRR abs/2512.06849 (2025) - [i307]Maik Dannecker, Steven Jia, Nil Stolt Ansó, Nadine Girard, Guillaume Auzias, François Rousseau, Daniel Rueckert:
Fast and Explicit: Slice-to-Volume Reconstruction via 3D Gaussian Primitives with Analytic Point Spread Function Modeling. CoRR abs/2512.11624 (2025) - [i306]Julian McGinnis, Florian A. Hölzl, Suprosanna Shit, Florentin Bieder, Paul Friedrich, Mark Mühlau, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler:
Optimizing Rank for High-Fidelity Implicit Neural Representations. CoRR abs/2512.14366 (2025) - [i305]Marica Muffoletto, Uxio Hermida, Charlène Alice Mauger, Avan Suinesiaputra, Yiyang Xu, Richard Burns, Lisa R. Pankewitz, Andrew D. McCulloch, Steffen E. Petersen, Daniel Rueckert, Alistair A. Young:
Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations. CoRR abs/2512.19316 (2025) - [i304]Zi Wang, Mingkai Huang, Zhang Shi, Hongjie Hu, Lan Lan, Hui Zhang, Yan Li, Xi Hu, Qing Lu, Zongming Zhu, Qiong Yao, Yuxiang Dai, Fanwen Wang, Yinzhe Wu, Jun Lyu, Qianqian Gao, Guangming Xu, Zhenxuan Zhang, Haosen Zhang, Qing Li, Guangming Wang, Tianxing He, Lizhen Lan, Siyue Li, Le Xue, Mengting Sun, Yuntong Lyu, Junpu Hu, Jiayu Zhu, Rizwan Ahmad, Zhengyu Bu, Xianling Qian, Guanke Cai, Ruiyu Cao, Weirui Cai, Chang Xu, Yuyang Ren, Feidan Yu, Siying Ma, Ziqiang Xu, Xinran Chen, Sha Hua, Daniel Kim, Yajing Zhang, Chen Ouyang, Wenjia Bai, Jing Qin, Yucheng Yang, Daniel Rueckert, He Wang, Qian Tao, Claudia Prieto, Michael Markl, Alistair A. Young, Lianming Wu, Shuo Wang, Chen Qin, Mengsu Zeng, Xihong Hu, Haibo Xu, Xiaobo Qu, Hao Li, Guang Yang, Chengyan Wang:
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database. CoRR abs/2512.21652 (2025) - [i303]Taha Emre, Arunava Chakravarty, Thomas Pinetz, Dmitry A. Lachinov, Martin J. Menten, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Stefan Sacu, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Stochastic Siamese MAE Pretraining for Longitudinal Medical Images. CoRR abs/2512.23441 (2025) - 2024
- [j207]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): 655-664 (2024) - [j206]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: 107929 (2024) - [j205]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: 108027 (2024) - [j204]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) - [j203]Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results. J. Priv. Confidentiality 14(1) (2024) - [j202]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: 103017 (2024) - [j201]Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Metadata-enhanced contrastive learning from retinal optical coherence tomography images. Medical Image Anal. 97: 103296 (2024) - [j200]Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich:
Transformer models in biomedicine. BMC Medical Informatics Decis. Mak. 24(1): 214 (2024) - [j199]Marieke A. R. 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): 370-372 (2024) - [j198]Alexander Ziller, Tamara T. Mueller, Simon Stieger, Leonhard F. Feiner, Johannes Brandt, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Reconciling privacy and accuracy in AI for medical imaging. Nat. Mac. Intell. 6(7): 764-774 (2024) - [j197]Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley:
Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT. npj Digit. Medicine 7(1) (2024) - [j196]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): 241-252 (2024) - [j195]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): 846-859 (2024) - [j194]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): 1259-1269 (2024) - [j193]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): 1489-1500 (2024) - [j192]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): 2061-2073 (2024) - [j191]Hailong He, Johannes C. Paetzold, Nils Börner, Erik Riedel, Stefan Gerl, Simon Schneider, Chiara Fisher, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Daniel Rückert, Juan Aguirre, Tilo Biedermann, Ulf Darsow, Bjoern H. Menze, Vasilis Ntziachristos:
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. IEEE Trans. Medical Imaging 43(6): 2074-2085 (2024) - [j190]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): 2420-2433 (2024) - [j189]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): 3013-3026 (2024) - [j188]Taha Emre, Arunava Chakravarty, Antoine Rivail, Dmitry A. Lachinov, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs. IEEE Trans. Medical Imaging 43(9): 3200-3210 (2024) - [j187]Arunava Chakravarty, Taha Emre, Oliver Leingang, Sophie Riedl, Julia Mai, Hendrik P. N. Scholl, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes. IEEE Trans. Medical Imaging 43(9): 3224-3239 (2024) - [j186]Dong Liang, Daniel Rueckert, Ge Wang, Tolga Çukur, Hengyong Yu:
Editorial. IEEE Trans. Medical Imaging 43(10): 3393-3397 (2024) - [j185]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) - [j184]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) - [j183]Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis:
Kernel Normalized Convolutional Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c507]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: 82-87 - [c506]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: 298-303 - [c505]Philip Müller, Georgios Kaissis, Daniel Rueckert:
ChEX: Interactive Localization and Region Description in Chest X-Rays. ECCV (21) 2024: 92-111 - [c504]Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training. EICC 2024: 179-185 - [c503]Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert:
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. ICML 2024: 22840-22860 - [c502]Andrei Mancu, Thomas Laurent, Franz Rieger, Paolo Arcaini, Fuyuki Ishikawa, Daniel Rueckert:
More is Not Always Better: Exploring Early Repair of DNNs. DeepTest@ICSE 2024 - [c501]Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert:
Intensity-Based 3D Motion Correction for Cardiac MR Images. ISBI 2024: 1-4 - [c500]Athira J. Jacob, Puneet Sharma, Daniel Rueckert:
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation. ISBI 2024: 1-4 - [c499]Tamara T. Mueller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis:
Differentially Private Graph Neural Networks for Medical Population Graphs and The Impact of The Graph Structure. ISBI 2024: 1-5 - [c498]Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert:
Direct Cardiac Segmentation from Undersampled K-Space using Transformers. ISBI 2024: 1-4 - [c497]Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold:
Supervised Contrastive Learning for Image-to-Graph Transformers. GRAIL@MICCAI 2024: 1-11 - [c496]Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori:
A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN. MOVI@MICCAI 2024: 3-13 - [c495]Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller:
Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. MICCAI (1) 2024: 14-23 - [c494]Philipp Kaess, Alexander Ziller, Lea Mantz, Daniel Rueckert, Florian J. Fintelmann, Georgios Kaissis:
Fair and Private CT Contrast Agent Detection. FAIMI/EPIMI@MICCAI 2024: 34-45 - [c493]Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold:
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. GRAIL@MICCAI 2024: 43-56 - [c492]Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Möller, Sophie Starck, Thomas Kröncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke:
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 79-88 - [c491]Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori:
CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data. MOVI@MICCAI 2024: 108-118 - [c490]Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert:
Interactive Generation of Laparoscopic Videos with Diffusion Models. DGM4MICCAI@MICCAI 2024: 109-118 - [c489]Jun Li, Su Hwan Kim, Philip Müller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea:
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI 2024: 113-123 - [c488]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. MICCAI (9) 2024: 181-191 - [c487]Anneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis:
Complex-Valued Federated Learning with Differential Privacy and MRI Applications. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 191-203 - [c486]Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Diffusion Models with Implicit Guidance for Medical Anomaly Detection. MICCAI (11) 2024: 211-220 - [c485]Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. MICCAI (5) 2024: 273-283 - [c484]Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert:
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. MICCAI (3) 2024: 293-302 - [c483]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert, Yogesh Rathi:
Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. MICCAI (7) 2024: 307-317 - [c482]Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan:
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. MICCAI (1) 2024: 359-369 - [c481]Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel:
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. MICCAI (7) 2024: 614-624 - [c480]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. MICCAI (11) 2024: 656-666 - [c479]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) 2024: 670-680 - [c478]Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topologically Faithful Multi-class Segmentation in Medical Images. MICCAI (8) 2024: 721-731 - [c477]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. MICCAI (11) 2024: 766-777 - [c476]Simon Dahan, Logan Zane John Williams, Daniel Rueckert, Emma Claire Robinson:
The Multiscale Surface Vision Transformer. MIDL 2024: 289-305 - [c475]Simon Dahan, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Emma Claire Robinson:
Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders. MIDL 2024: 306-325 - [c474]Robert Graf, Hendrik Kristian Möller, Julian McGinnis, Sebastian Rühling, Maren Weihrauch, Matan Atad, Suprosanna Shit, Bjoern H. Menze, Mark Mühlau, Johannes C. Paetzold, Daniel Rueckert, Jan Kirschke:
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation. MIDL 2024: 520-537 - [c473]Daniel Scholz, Ayhan Can Erdur, Josef A. Buchner, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler:
Imbalance-aware loss functions improve medical image classification. MIDL 2024: 1341-1356 - [c472]Vasiliki Sideri-Lampretsa, Julian McGinnis, Huaqi Qiu, Magdalini Paschali, Walter Simson, Daniel Rueckert:
SINR: Spline-enhanced implicit neural representation for multi-modal registration. MIDL 2024: 1462-1474 - [c471]Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar, Daniel Scholz, Hongwei Bran Li, Bjoern H. Menze, Daniel Rueckert, Benedikt Wiestler:
VariViT: A Vision Transformer for Variable Image Sizes. MIDL 2024: 1571-1583 - [c470]Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert:
Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI. MLMI@MICCAI (1) 2024: 31-41 - [c469]Bastian Wittmann, Johannes C. Paetzold, Chinmay Prabhakar, Daniel Rueckert, Bjoern H. Menze:
Link Prediction for Flow-Driven Spatial Networks. WACV 2024: 2460-2469 - [c468]Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler:
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. WBIR 2024: 86-97 - [c467]Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rueckert, Julia A. Schnabel, Veronika A. Zimmer:
General Vision Encoder Features as Guidance in Medical Image Registration. WBIR 2024: 265-279 - [d1]Sophie Starck, Vasiliki Sideri-Lampretsa, Jessica Johanna Maria Ritter, Veronika A. Zimmer, Rickmer Braren, Tamara T. Mueller, Daniel Rueckert:
Large-scale UK Biobank Whole Body Atlases. Zenodo, 2024 - [i302]Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert:
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. CoRR abs/2401.00633 (2024) - [i301]Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Towards Universal Unsupervised Anomaly Detection in Medical Imaging. CoRR abs/2401.10637 (2024) - [i300]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 abs/2402.11985 (2024) - [i299]Alexander Ziller, Anneliese Riess, Kristian Schwethelm, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis:
Bounding Reconstruction Attack Success of Adversaries Without Data Priors. CoRR abs/2402.12861 (2024) - [i298]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 abs/2402.16368 (2024) - [i297]Robert Mendel, Tobias Rueckert, Dirk Wilhelm, Daniel Rueckert, Christoph Palm:
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation. CoRR abs/2403.03120 (2024) - [i296]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 abs/2403.04500 (2024) - [i295]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 abs/2403.06601 (2024) - [i294]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 abs/2403.07513 (2024) - [i293]Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller:
Visual Privacy Auditing with Diffusion Models. CoRR abs/2403.07588 (2024) - [i292]Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Diffusion Models with Implicit Guidance for Medical Anomaly Detection. CoRR abs/2403.08464 (2024) - [i291]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 abs/2403.08550 (2024) - [i290]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 abs/2403.11001 (2024) - [i289]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 abs/2403.16776 (2024) - [i288]Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert:
Intensity-based 3D motion correction for cardiac MR images. CoRR abs/2404.00767 (2024) - [i287]Jun Li, Cosmin I. Bercea, Philip Müller, Lina Felsner, Su Hwan Kim, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel:
Multi-Image Visual Question Answering for Unsupervised Anomaly Detection. CoRR abs/2404.07622 (2024) - [i286]Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel:
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR abs/2404.08350 (2024) - [i285]Philip Müller, Georgios Kaissis, Daniel Rueckert:
ChEX: Interactive Localization and Region Description in Chest X-rays. CoRR abs/2404.15770 (2024) - [i284]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 abs/2404.17621 (2024) - [i283]Alexander Geiger, Lars Wagner, Daniel Rueckert, Dirk Wilhelm, Alissa Jell:
Detecting and clustering swallow events in esophageal long-term high-resolution manometry. CoRR abs/2405.01126 (2024) - [i282]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 abs/2405.09549 (2024) - [i281]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 abs/2406.00125 (2024) - [i280]Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert:
Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR abs/2406.00192 (2024) - [i279]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 abs/2406.00329 (2024) - [i278]Razieh Rezaei, Masoud Jalili Sabet, Jindong Gu, Daniel Rueckert, Philip Torr, Ashkan Khakzar:
Learning Visual Prompts for Guiding the Attention of Vision Transformers. CoRR abs/2406.03303 (2024) - [i277]Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller:
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. CoRR abs/2406.04769 (2024) - [i276]Ivan Iliash, Simeon Allmendinger, Felix Meissen, Niklas Kühl, Daniel Rückert:
Interactive Generation of Laparoscopic Videos with Diffusion Models. CoRR abs/2406.06537 (2024) - [i275]Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert:
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. CoRR abs/2406.08918 (2024) - [i274]Andrea Posada, Daniel Rueckert, Felix Meissen, Philip Müller:
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings. CoRR abs/2406.16611 (2024) - [i273]Athira J. Jacob, Puneet Sharma, Daniel Rueckert:
DCSM 2.0: Deep Conditional Shape Models for Data Efficient Segmentation. CoRR abs/2407.00186 (2024) - [i272]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 abs/2407.03034 (2024) - [i271]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 abs/2407.03863 (2024) - [i270]Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios Kaissis:
Machine Unlearning for Medical Imaging. CoRR abs/2407.07539 (2024) - [i269]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 abs/2407.08410 (2024) - [i268]Fryderyk Victor Kögl, Anna Reithmeir, Vasiliki Sideri-Lampretsa, Inês Machado, Rickmer Braren, Daniel Rückert, Julia A. Schnabel, Veronika A. Zimmer:
General Vision Encoder Features as Guidance in Medical Image Registration. CoRR abs/2407.13311 (2024) - [i267]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 abs/2407.19274 (2024) - [i266]Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert:
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI. CoRR abs/2407.20108 (2024) - [i265]Matan Atad, David Schinz, Hendrik Kristian Möller, Robert Graf, Benedikt Wiestler, Daniel Rueckert, Nassir Navab, Jan S. Kirschke, Matthias Keicher:
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder. CoRR abs/2408.01571 (2024) - [i264]Matan Atad, Gabriel Gruber, Marx Ribeiro, Luis Fernando Nicolini, Robert Graf, Hendrik Kristian Möller, Kati Nispel, Ivan Ezhov, Daniel Rueckert, Jan S. Kirschke:
Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model. CoRR abs/2408.06067 (2024) - [i263]Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut,