Daniel Rueckert
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
306
Venues
17
Active years
1995–2026
Best venue rank
A*
Where they publish
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Unintended Memorization of Sensitive Information in Fine-Tuned Language Models. | Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert |
| 2025 | CVPR | A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. | David Mildenberger, Paul Hager, Daniel Rueckert, Martin J. Menten |
| 2025 | ICLR | SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments. | Simon Dahan, Gabriel Bndict, Logan Zane John Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Claire Robinson |
| 2025 | ICLR | Laplace Sample Information: Data Informativeness Through a Bayesian Lens. | Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis |
| 2025 | ICLR | 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 |
| 2025 | MICCAI | Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI. | Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan |
| 2025 | MICCAI | Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping. | Busra Bulut, Maik Dannecker, Thomas Sanchez, Sara Neves Silva, Vladyslav Zalevskyi, Steven Jia, Jean-Baptiste Ledoux, Guillaume Auzias, Franois Rousseau, Jana Hutter, Daniel Rueckert, Meritxell Bach Cuadra |
| 2025 | MICCAI | Predicting Longitudinal Brain Development via Implicit Neural Representations. | Maik Dannecker, Daniel Rueckert |
| 2025 | MICCAI | Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization. | 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 |
| 2025 | MICCAI | Rule-based Key-Point Extraction for MR-Guided Biomechanical Digital Twins of the Spine. | Robert Graf, Tanja Lerchl, Kati Nispel, Hendrik Kristian Mller, Matan Atad, Julian McGinnis, Julius Maria Watrinet, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke |
| 2025 | MICCAI | MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. | Robert Graf, Hendrik Kristian Mller, Sophie Starck, Matan Atad, Philipp Braun, Jonathan K. Stelter, Annette Peters, Lilian Krist, Stefan Willich, Henry Vlzke, Robin Blow, Tobias Pischon, Thoralf Niendorf, Johannes C. Paetzold, Dimitrios C. Karampinos, Daniel Rueckert, Jan Kirschke |
| 2025 | MICCAI | Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging. | Wenqi Huang, Nan Wang, Congyu Liao, Yimeng Lin, Mengze Gao, Daniel Rueckert, Kawin Setsompop |
| 2025 | MICCAI | LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification. | Athira J. Jacob, Puneet Sharma, Daniel Rueckert |
| 2025 | MICCAI | LGESynthNet: Controlled Scar Synthesis for Improved Scar Segmentation in Cardiac LGE-MRI Imaging. | Athira J. Jacob, Puneet Sharma, Daniel Rueckert |
| 2025 | MICCAI | Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data. | Moritz Knolle, Martin J. Menten, Daniel Rueckert, Georgios Kaissis, Ben Glocker |
| 2025 | MICCAI | Hybrid Attention for Multimodal MCI Progression Prediction: Balancing Shared and Modality-Specific Features. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2025 | MICCAI | MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. | Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert |
| 2025 | MICCAI | MM-DINOv2: Adapting Foundation Models for Multi-modal Medical Image Analysis. | Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler |
| 2025 | MICCAI | Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method. | Daniel Scholz, Ayhan Can Erdur, Robbie Holland, Viktoria Ehm, Jan C. Peeken, Benedikt Wiestler, Daniel Rueckert |
| 2025 | MICCAI | Whole-Body Representation Learning For Competing Preclinical Disease Risk Assessment. | Dmitrii Seletkov, Sophie Starck, Ayhan Can Erdur, Yundi Zhang, Daniel Rueckert, Rickmer Braren |
| 2025 | MICCAI | Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG. | Alexander Selivanov, Philip Mller, zgn Turgut, Nil Stolt Ans, Daniel Rueckert |
| 2025 | MICCAI | Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off. | Vasiliki Sideri-Lampretsa, Daniel Rueckert, Huaqi Qiu |
| 2025 | MICCAI | GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment. | Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink |
| 2025 | MICCAI | A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data. | Tobias Susetzky, Huaqi Qiu, Rickmer Braren, Daniel Rueckert |
| 2025 | MICCAI | From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging. | Jonas Weidner, Ivan Ezhov, Michal Balcerak, Andr Datchev, Lucas Zimmer, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler |
| 2025 | MICCAI | Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI. | Siying Xu, Aya Ghoul, Kerstin Hammernik, Jens Kbler, Patrick Krumm, Andreas Lingg, Daniel Rueckert, Sergios Gatidis, Thomas Kstner |
| 2024 | ECCV | ChEX: Interactive Localization and Region Description in Chest X-Rays. | Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2024 | ICML | Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. | Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert |
| 2024 | MICCAI | Supervised Contrastive Learning for Image-to-Graph Transformers. | Anna Banaszak, Alexander H. Berger, Laurin Lux, Suprosanna Shit, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | MICCAI | Diffusion Models with Implicit Guidance for Medical Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 2024 | MICCAI | Topologically Faithful Multi-class Segmentation in Medical Images. | Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Brgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold |
| 2024 | MICCAI | Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. | 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 |
| 2024 | MICCAI | CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. | Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert |
| 2024 | MICCAI | Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans. | Mohammed Munzer Dwedari, William Consagra, Philip Mller, zgn Turgut, Daniel Rueckert, Yogesh Rathi |
| 2024 | MICCAI | Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data. | Robert Graf, Florian Hunecke, Soeren Pohl, Matan Atad, Hendrik Kristian Mller, Sophie Starck, Thomas Krncke, Stefanie Bette, Fabian Bamberg, Tobias Pischon, Thoralf Niendorf, Carsten Oliver Schmidt, Johannes C. Paetzold, Daniel Rueckert, Jan S. Kirschke |
| 2024 | MICCAI | Fair and Private CT Contrast Agent Detection. | Philipp Kaess, Alexander Ziller, Lea Mantz, Daniel Rueckert, Florian J. Fintelmann, Georgios Kaissis |
| 2024 | MICCAI | Language Models Meet Anomaly Detection for Better Interpretability and Generalizability. | Jun Li, Su Hwan Kim, Philip Mller, Lina Felsner, Daniel Rueckert, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea |
| 2024 | MICCAI | Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. | Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Mller |
| 2024 | MICCAI | Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. | Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert |
| 2024 | MICCAI | Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. | Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz |
| 2024 | MICCAI | Exploring Graphs as Data Representation for Disease Classification in Ophthalmology. | Laurin Lux, Alexander H. Berger, Maria Romeo Tricas, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | MICCAI | Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. | Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert |
| 2024 | MICCAI | Complex-Valued Federated Learning with Differential Privacy and MRI Applications. | Anneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis |
| 2024 | MICCAI | Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. | 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 |
| 2024 | MICCAI | Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. | 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 |
| 2024 | MICCAI | CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data. | Yunheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori |
| 2024 | MICCAI | A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN. | Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori |
| 2024 | MICCAI | Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. | Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan |
| 2023 | CCS | Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. | Florian A. Hlzl, Daniel Rueckert, Georgios Kaissis |
| 2023 | CCS | Utility-preserving Federated Learning. | Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis |
| 2023 | CVPR | Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. | Paul Hager, Martin J. Menten, Daniel Rueckert |
| 2023 | CVPR | Interactive and Explainable Region-guided Radiology Report Generation. | Tim Tanida, Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2023 | ICCV | 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 |
| 2023 | MICCAI | Metrics to Quantify Global Consistency in Synthetic Medical Images. | Daniel Scholz, Benedikt Wiestler, Daniel Rueckert, Martin J. Menten |
| 2023 | MICCAI | NISF: Neural Implicit Segmentation Functions. | Nil Stolt Ans, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert |
| 2023 | MICCAI | Gradient Self-alignment in Private Deep Learning. | David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis |
| 2023 | MICCAI | What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. | Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel |
| 2023 | MICCAI | Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. | Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel |
| 2023 | MICCAI | Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. | Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert |
| 2023 | MICCAI | A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. | Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert |
| 2023 | MICCAI | 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images. | Alina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus M. Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert |
| 2023 | MICCAI | Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. | Hannah Eichhorn, Kerstin Hammernik, Veronika Spieker, Samira M. Epp, Daniel Rueckert, Christine Preibisch, Julia A. Schnabel |
| 2023 | MICCAI | Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report. | 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 |
| 2023 | MICCAI | All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions. | Ayhan Can Erdur, Daniel Scholz, Josef A. Buchner, Stephanie E. Combs, Daniel Rueckert, Jan C. Peeken |
| 2023 | MICCAI | Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. | Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis |
| 2023 | MICCAI | Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration. | 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 |
| 2023 | MICCAI | Robust Segmentation via Topology Violation Detection and Feature Synthesis. | Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz |
| 2023 | MICCAI | Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. | Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer |
| 2023 | MICCAI | Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. | Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert |
| 2023 | MICCAI | Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder. | Adam Marcus, Paul Bentley, Daniel Rueckert |
| 2023 | MICCAI | Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. | Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ans, Mark Mhlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler |
| 2023 | MICCAI | Extended Graph Assessment Metrics for Regression and Weighted Graphs. | Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis |
| 2023 | MICCAI | Body Fat Estimation from Surface Meshes Using Graph Neural Networks. | Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | Anatomy-Driven Pathology Detection on Chest X-rays. | Philip Mller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. | Jiazhen Pan, Suprosanna Shit, zgn Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ans, Thomas Kstner, Kerstin Hammernik, Daniel Rueckert |
| 2023 | MICCAI | Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. | Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mhlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze |
| 2023 | MICCAI | The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning. | Denis Prokopenko, Kerstin Hammernik, Thomas A. Roberts, David F. A. Lloyd, Daniel Rueckert, Joseph V. Hajnal |
| 2023 | MICCAI | MAD: Modality Agnostic Distance Measure for Image Registration. | Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert |
| 2022 | ECCV | Joint Learning of Localized Representations from Medical Images and Reports. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |
| 2022 | MICCAI | Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data. | Moritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer |
| 2022 | MICCAI | MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. | Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert |
| 2022 | MICCAI | Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. | Linus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten |
| 2022 | MICCAI | Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. | Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary |
| 2022 | MICCAI | Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network. | Adam Marcus, Paul Bentley, Daniel Rueckert |
| 2022 | MICCAI | Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. | Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert |
| 2022 | MICCAI | Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs. | Martin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert |
| 2022 | MICCAI | Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |
| 2022 | MICCAI | Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. | Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert |
| 2022 | MICCAI | Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. | Jiazhen Pan, Daniel Rueckert, Thomas Kstner, Kerstin Hammernik |
| 2022 | MICCAI | Embedding Gradient-Based Optimization in Image Registration Networks. | Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert |
| 2022 | MICCAI | Can Collaborative Learning Be Private, Robust and Scalable? | Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis |
| 2021 | ACSSC | Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. | Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Kstner |
| 2021 | BMVC | Bias Field Robustness Verification of Large Neural Image Classifiers. | Patrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio |
| 2021 | MICCAI | Voxel-Level Importance Maps for Interpretable Brain Age Estimation. | Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert |
| 2021 | MICCAI | Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. | Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz |
| 2021 | MICCAI | Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. | Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert |
| 2021 | MICCAI | Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity. | Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson |
| 2021 | MICCAI | Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. | Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren |
| 2021 | MICCAI | Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. | Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schlke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll |
| 2021 | MICCAI | Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. | Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker |
| 2021 | MICCAI | DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. | Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert |
| 2021 | MICCAI | CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. | Liu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary |
| 2021 | MICCAI | PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. | Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary |
| 2021 | MICCAI | AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. | Felix Meissen, Georgios Kaissis, Daniel Rueckert |
| 2021 | MICCAI | Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. | Jiazhen Pan, Daniel Rueckert, Thomas Kstner, Kerstin Hammernik |
| 2021 | MICCAI | Detecting Outliers with Poisson Image Interpolation. | Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz |
| 2021 | MICCAI | Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. | Shuo Wang, Chen Qin, Nicol Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai |
| 2020 | CCS | A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. | Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach |
| 2020 | ECCV | Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. | Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert |
| 2020 | ISVC | Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography. | Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo |
| 2020 | MICCAI | Patch-Based Brain Age Estimation from MR Images. | Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjrn Kolbeinsson, Alexander Hammers, Daniel Rueckert |
| 2020 | MICCAI | Realistic Adversarial Data Augmentation for MR Image Segmentation. | Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert |
| 2020 | MICCAI | Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation. | Aydan Gasimova, Gavin Seegoolam, Liang Chen, Paul Bentley, Daniel Rueckert |
| 2020 | MICCAI | Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images. | Guy Leroy, Daniel Rueckert, Amir Alansary |
| 2020 | MICCAI | Ultrasound Video Summarization Using Deep Reinforcement Learning. | Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz |
| 2020 | MICCAI | Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. | Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble |
| 2020 | MICCAI | Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment. | Qingjie Meng, Daniel Rueckert, Bernhard Kainz |
| 2020 | MICCAI | Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. | Esther Puyol-Antn, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King |
| 2020 | MICCAI | Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. | Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert |
| 2020 | MICCAI | Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks. | Robert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker |
| 2020 | MICCAI | Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. | Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz |
| 2020 | MICCAI | 3D Probabilistic Segmentation and Volumetry from 2D Projection Images. | Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz |
| 2020 | MICCAI | Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface. | Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary |
| 2020 | MICCAI | Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. | Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai |
| 2019 | MICCAI | VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. | Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert |
| 2019 | MICCAI | Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. | Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert |
| 2019 | MICCAI | Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. | Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert |
| 2019 | MICCAI | Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. | Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert |
| 2019 | MICCAI | Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning. | Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert |
| 2019 | MICCAI | Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. | Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz |
| 2019 | MICCAI | Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. | Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz |
| 2019 | MICCAI | Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. | Ilkay ksz, James R. Clough, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. | Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert |
| 2019 | MICCAI | Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. | Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Ilkay ksz, Daniel Rueckert, Reza Razavi, Andrew P. King |
| 2019 | MICCAI | k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. | Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert |
| 2019 | MICCAI | Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. | Huaqi Qiu, Chen Qin, Loc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert |
| 2019 | MICCAI | Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction. | Jo Schlemper, Seyed Sadegh Mohseni Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka |
| 2019 | MICCAI | Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. | Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert |
| 2019 | MICCAI | Multiple Landmark Detection Using Multi-agent Reinforcement Learning. | Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz |
| 2019 | MICCAI | Complete Fetal Head Compounding from Multi-view 3D Ultrasound. | Robert Wright, Nicolas Toussaint, Alberto Gmez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel |
| 2018 | ICML | Semi-Supervised Learning via Compact Latent Space Clustering. | Konstantinos Kamnitsas, Daniel Coelho de Castro, Loc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. | Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert |
| 2018 | MICCAI | Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. | Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert |
| 2018 | MICCAI | Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. | Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | 3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks. | Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gmez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Multi-task Learning for Left Atrial Segmentation on GE-MRI. | Chen Chen, Wenjia Bai, Daniel Rueckert |
| 2018 | MICCAI | Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. | Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Carlo Biffi, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension. | Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. | Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz |
| 2018 | MICCAI | EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. | Bishesh Khanal, Alberto Gmez, Nicolas Toussaint, Steven McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz |
| 2018 | MICCAI | Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. | Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. | Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Automatic Shadow Detection in 2D Ultrasound Images. | Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gmez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz |
| 2018 | MICCAI | Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. | Ilkay ksz, James R. Clough, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Ren M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | Ilkay ksz, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. | Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert |
| 2018 | MICCAI | Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. | Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert |
| 2018 | MICCAI | Real-Time Prediction of Segmentation Quality. | Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, Jos Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker |
| 2018 | MICCAI | Bayesian Deep Learning for Accelerated MR Image Reconstruction. | Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. | Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. | Jo Schlemper, Guang Yang, Pedro F. Ferreira, Andrew D. Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert |
| 2018 | MICCAI | Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. | Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Wrfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier |
| 2018 | MICCAI | A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. | Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert |
| 2018 | MICCAI | Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. | Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker |
| 2018 | MICCAI | LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. | Robert Wright, Bishesh Khanal, Alberto Gmez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel |
| 2017 | MICCAI | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. | Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert |
| 2017 | MICCAI | Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest. | Juan J. Cerrolaza, Ozan Oktay, Alberto Gmez, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert |
| 2017 | MICCAI | Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion. | Benjamin Hou, Amir Alansary, Steven McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz |
| 2017 | MICCAI | Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. | Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation. | Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. | Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert |
| 2017 | MICCAI | 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. | Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori |
| 2017 | MICCAI | Spectral Graph Convolutions for Population-Based Disease Prediction. | Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert |
| 2017 | MICCAI | Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. | Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. | Matthew Sinclair, Wenjia Bai, Esther Puyol-Antn, Ozan Oktay, Daniel Rueckert, Andrew P. King |
| 2016 | CVPR | 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 |
| 2016 | CVPR | Discrete Optimisation for Group-Wise Cortical Surface Atlasing. | Emma C. Robinson, Ben Glocker, Martin Rajchl, Daniel Rueckert |
| 2016 | CVPR | 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 |
| 2016 | ETRA | Priori-driven dimensions of face-space: experiments incorporating eye-tracking information. | Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, Daniel Rueckert |
| 2016 | MICCAI | Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI. | Amir Alansary, Konstantinos Kamnitsas, Alice Davidson, Rostislav Khlebnikov, Martin Rajchl, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Bernhard Kainz |
| 2016 | MICCAI | Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation. | Salim Arslan, Sarah Parisot, Daniel Rueckert |
| 2016 | MICCAI | Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks. | Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Sandra Smith, Bernhard Kainz, Daniel Rueckert |
| 2016 | MICCAI | Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. | Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valds Hernndez, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert |
| 2016 | MICCAI | Correction of Fat-Water Swaps in Dixon MRI. | Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert |
| 2016 | MICCAI | DeepMedic for Brain Tumor Segmentation. | Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker |
| 2016 | MICCAI | Differential Dementia Diagnosis on Incomplete Data with Latent Trees. | Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Ltjnen, Daniel Rueckert |
| 2016 | MICCAI | Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation. | Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori |
| 2016 | MICCAI | Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. | Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2016 | MICCAI | GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves. | Sarah Parisot, Ben Glocker, Markus Schirmer, Daniel Rueckert |
| 2016 | MICCAI | A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. | Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert |
| 2016 | MICCAI | Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. | Matthew Sinclair, Devis Peressutti, Esther Puyol-Antn, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | CIARP | Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. | Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Hctor Allende |
| 2015 | ICML | Automatic Brain Localization in Fetal MRI Using Superpixel Graphs. | Amir Alansary, Matthew C. H. Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert |
| 2015 | MICCAI | Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI. | Salim Arslan, Daniel Rueckert |
| 2015 | MICCAI | Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. | Wenjia Bai, Ozan Oktay, Daniel Rueckert |
| 2015 | MICCAI | Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. | Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert |
| 2015 | MICCAI | Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression. | Kanwal K. Bhatia, Jose Caballero, Anthony N. Price, Ying Sun, Joseph V. Hajnal, Daniel Rueckert |
| 2015 | MICCAI | Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. | Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert |
| 2015 | MICCAI | Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning. | Ricardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert |
| 2015 | MICCAI | Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images. | Bernhard Kainz, Amir Alansary, Christina Malamateniou, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2015 | MICCAI | Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. | Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker |
| 2015 | MICCAI | Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes. | Kenichi Karasawa, Takayuki Kitasaka, Masahiro Oda, Yukitaka Nimura, Yuichiro Hayashi, Michitaka Fujiwara, Kazunari Misawa, Daniel Rueckert, Kensaku Mori |
| 2015 | MICCAI | Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features. | Kevin Keraudren, Bernhard Kainz, Ozan Oktay, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2015 | MICCAI | Structured Decision Forests for Multi-modal Ultrasound Image Registration. | Ozan Oktay, Andreas Schuh, Martin Rajchl, Kevin Keraudren, Alberto Gmez, Mattias P. Heinrich, Graeme P. Penney, Daniel Rueckert |
| 2015 | MICCAI | A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation. | Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert |
| 2015 | MICCAI | Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. | Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. | Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. | Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert |
| 2014 | CVPR | Patch-Based Evaluation of Image Segmentation. | Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert |
| 2014 | ICPR | Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images. | Qinquan Gao, Akshay Asthana, Tong Tong, Yipeng Hu, Daniel Rueckert, Philip J. Edwards |
| 2014 | MICCAI | Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. | Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal |
| 2014 | MICCAI | Manifold Learning for Cardiac Modeling and Estimation Framework. | Radomr Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith |
| 2014 | MICCAI | Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease. | Ricardo Guerrero, Christian Ledig, Daniel Rueckert |
| 2014 | MICCAI | Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. | Bernhard Kainz, Christina Malamateniou, Maria Murgasova, Kevin Keraudren, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2014 | MICCAI | Graph-Based Label Propagation in Fetal Brain MR Images. | Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert |
| 2014 | MICCAI | Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration. | Andreas Schuh, Maria Murgasova, Antonios Makropoulos, Christian Ledig, Serena J. Counsell, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert |
| 2014 | MICCAI | Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. | Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2014 | MICCAI | Geodesic Patch-Based Segmentation. | Zehan Wang, Kanwal K. Bhatia, Ben Glocker, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Kazunari Misawa, Kensaku Mori, Daniel Rueckert |
| 2013 | MICCAI | Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images. | Chengwen Chu, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Yuichiro Hayashi, Yukitaka Nimura, Daniel Rueckert, Kensaku Mori |
| 2013 | MICCAI | Localisation of the Brain in Fetal MRI Using Bundled SIFT Features. | Kevin Keraudren, Vanessa Kyriakopoulou, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2013 | MICCAI | Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA. | Liu Liu, Wenzhe Shi, Daniel Rueckert, Mingxing Hu, Sbastien Ourselin, Xiahai Zhuang |
| 2013 | MICCAI | Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches. | Markus Schirmer, Gareth Ball, Serena J. Counsell, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar |
| 2013 | MICCAI | Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. | Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2013 | MICCAI | Multiple Instance Learning for Classification of Dementia in Brain MRI. | Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert |
| 2013 | MICCAI | Patch-Based Segmentation without Registration: Application to Knee MRI. | Zehan Wang, Claire R. Donoghue, Daniel Rueckert |
| 2013 | MICCAI | Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding. | Nick Weiss, Daniel Rueckert, Anil Rao |
| 2013 | MICCAI | Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions. | Xianliang Wu, Richard James Housden, Niharika Varma, YingLiang Ma, Kawal S. Rhode, Daniel Rueckert |
| 2012 | CVPR | 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 |
| 2012 | ISVC | Solving MRF Minimization by Mirror Descent. | Duy V. N. Luong, Panos Parpas, Daniel Rueckert, Ber Rustem |
| 2012 | MICCAI | Hierarchical Manifold Learning. | Kanwal K. Bhatia, Anil Rao, Anthony N. Price, Robin Wolz, Joseph V. Hajnal, Daniel Rueckert |
| 2012 | MICCAI | Dictionary Learning and Time Sparsity in Dynamic MRI. | Jose Caballero, Daniel Rueckert, Joseph V. Hajnal |
| 2012 | MICCAI | Geodesic Information Flows. | Manuel Jorge Cardoso, Robin Wolz, Marc Modat, Nick C. Fox, Daniel Rueckert, Sbastien Ourselin |
| 2012 | MICCAI | Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative. | Ricardo Guerrero, Claire R. Donoghue, Luis Pizarro, Daniel Rueckert |
| 2012 | MICCAI | Gradient Projection Learning for Parametric Nonrigid Registration. | Stefan Pszczlkowski, Luis Pizarro, Declan P. O'Regan, Daniel Rueckert |
| 2012 | MICCAI | Unsupervised Learning of Shape Complexity: Application to Brain Development. | Ahmed Serag, Ioannis S. Gousias, Antonios Makropoulos, Paul Aljabar, Joseph V. Hajnal, James P. Boardman, Serena J. Counsell, Daniel Rueckert |
| 2012 | MICCAI | Registration Using Sparse Free-Form Deformations. | Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert |
| 2012 | MICCAI | Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. | Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert |
| 2012 | MICCAI | Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases. | Robin Wolz, Chengwen Chu, Kazunari Misawa, Kensaku Mori, Daniel Rueckert |
| 2012 | MICCAI | Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions. | Xianliang Wu, Richard James Housden, YingLiang Ma, Daniel Rueckert, Kawal S. Rhode |
| 2011 | MICCAI | Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia. | Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert |
| 2011 | MICCAI | Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images. | Ricardo Guerrero, Robin Wolz, Daniel Rueckert |
| 2011 | MICCAI | Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance. | Rashed Karim, Aruna Arujuna, Alex Brazier, Jaswinder S. Gill, C. Aldo Rinaldi, Michael Cooklin, Mark D. O'Neill, Reza Razavi, Tobias Schaeffter, Daniel Rueckert, Kawal S. Rhode |
| 2011 | MICCAI | A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation. | Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Simon G. Duckett, Kai-Pin Tung, Haiyan Wang, Sbastien Ourselin, Philip J. Edwards, Reza Razavi, Daniel Rueckert |
| 2011 | MICCAI | Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images. | Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon G. Duckett, Kai-Pin Tung, Philip J. Edwards, Reza Razavi, Sbastien Ourselin, Daniel Rueckert |
| 2010 | ACCV | Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints. | Ravi Garg, Luis Pizarro, Daniel Rueckert, Lourdes Agapito |
| 2010 | ICINCO | A Robust Mosaicing Method for Robotic Assisted Minimally Invasive Surgery. | Mingxing Hu, David J. Hawkes, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Fernando Bello, Michael Figl, Roberto Casula |
| 2010 | MICCAI | Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas. | Rashed Karim, Christoph Juli, Louisa Malcolme-Lawes, David Wyn-Davies, Prapa Kanagaratnam, Nicholas S. Peters, Daniel Rueckert |
| 2010 | MICCAI | Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease. | Laurent Risser, Franois-Xavier Vialard, Robin Wolz, Darryl D. Holm, Daniel Rueckert |
| 2010 | MICCAI | Manifold Learning for Biomarker Discovery in MR Imaging. | Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert |
| 2009 | MICCAI | Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery. | Mingxing Hu, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Fernando Bello, Roberto Casula, Michael Figl, David J. Hawkes |
| 2008 | CVPR | Statistical shape modelling: How many modes should be retained? | Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards |
| 2008 | ECCV | Sample Sufficiency and PCA Dimension for Statistical Shape Models. | Lin Mei, Michael Figl, Ara Darzi, Daniel Rueckert, Philip J. Edwards |
| 2008 | MICCAI | Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia. | Paul Aljabar, Daniel Rueckert, William R. Crum |
| 2008 | MICCAI | Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI. | Kolawole O. Babalola, Brian Patenaude, Paul Aljabar, Julia A. Schnabel, David N. Kennedy, William R. Crum, Stephen M. Smith, Timothy F. Cootes, Mark Jenkinson, Daniel Rueckert |
| 2008 | MICCAI | A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints. | Mingxing Hu, Graeme P. Penney, Daniel Rueckert, Philip J. Edwards, Michael Figl, Philip Pratt, David J. Hawkes |
| 2008 | MICCAI | Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling. | Lin Mei, Michael Figl, Daniel Rueckert, Ara Darzi, Philip J. Edwards |
| 2008 | MICCAI | Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography. | Emma C. Robinson, Michel F. Valstar, Alexander Hammers, Anders Ericsson, A. David Edwards, Daniel Rueckert |
| 2008 | MICCAI | Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. | Hui Xue, Jens Guehring, Latha Srinivasan, Sven Zhlsdorff, Kinda Anna Saddi, Christophe Chefd'Hotel, Joseph V. Hajnal, Daniel Rueckert |
| 2007 | MICCAI | Classifier Selection Strategies for Label Fusion Using Large Atlas Databases. | Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Joseph V. Hajnal, Daniel Rueckert |
| 2007 | MICCAI | Groupwise Combined Segmentation and Registration for Atlas Construction. | Kanwal K. Bhatia, Paul Aljabar, James P. Boardman, Latha Srinivasan, Maria Murgasova, Serena J. Counsell, Mary A. Rutherford, Joseph V. Hajnal, A. David Edwards, Daniel Rueckert |
| 2007 | MICCAI | Similarity Metrics for Groupwise Non-rigid Registration. | Kanwal K. Bhatia, Joseph V. Hajnal, Alexander Hammers, Daniel Rueckert |
| 2007 | MICCAI | Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis. | Raghavendra Chandrashekara, Raad Mohiaddin, Reza Razavi, Daniel Rueckert |
| 2007 | MICCAI | In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging. | Shuzhou Jiang, Hui Xue, Serena J. Counsell, Mustafa Anjari, Joanna M. Allsop, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal |
| 2007 | MICCAI | Longitudinal Cortical Registration for Developing Neonates. | Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal |
| 2007 | MICCAI | Unbiased White Matter Atlas Construction Using Diffusion Tensor Images. | Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee |
| 2006 | CVPR | Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures. | Anil Rao, Timothy F. Cootes, Daniel Rueckert |
| 2006 | ECCV | 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 |
| 2006 | MICCAI | Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence. | Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert, Alexander Hammers |
| 2006 | MICCAI | Segmentation of Brain MRI in Young Children. | Maria Murgasova, Leigh Dyet, A. David Edwards, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert |
| 2006 | MICCAI | Statistical Finite Element Model for Bone Shape and Biomechanical Properties. | Laura Belenguer Querol, Philippe Bchler, Daniel Rueckert, Lutz-Peter Nolte, Miguel ngel Gonzlez Ballester |
| 2006 | MICCAI | Diffeomorphic Registration Using B-Splines. | Daniel Rueckert, Paul Aljabar, Rolf A. Heckemann, Joseph V. Hajnal, Alexander Hammers |
| 2005 | MICCAI | Interpolation Artefacts in Non-rigid Registration. | Paul Aljabar, Joseph V. Hajnal, Richard G. Boyes, Daniel Rueckert |
| 2005 | MICCAI | Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation. | William R. Crum, Oscar Camara, Daniel Rueckert, Kanwal K. Bhatia, Mark Jenkinson, Derek L. G. Hill |
| 2005 | MICCAI | Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification. | Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert |
| 2005 | MICCAI | Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI. | Gerardo I. Sanchez-Ortiz, Maxime Sermesant, Kawal S. Rhode, Raghavendra Chandrashekara, Reza Razavi, Derek L. G. Hill, Daniel Rueckert |
| 2004 | MICCAI | A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging. | William R. Crum, Daniel Rueckert, Mark Jenkinson, David N. Kennedy, Stephen M. Smith |
| 2004 | MICCAI | 3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit. | Robert M. Lapp, Maria Lorenzo-Valds, Daniel Rueckert |
| 2004 | MICCAI | Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images. | Maria Lorenzo-Valds, Gerardo I. Sanchez-Ortiz, Hugo G. Bogren, Raad Mohiaddin, Daniel Rueckert |
| 2004 | MICCAI | Registration-Based Interpolation Using a High-Resolution Image for Guidance. | Graeme P. Penney, Julia A. Schnabel, Daniel Rueckert, David J. Hawkes, Wiro J. Niessen |
| 2004 | MICCAI | Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences. | Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueckert |
| 2004 | MICCAI | Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging. | Maxime Sermesant, Kawal S. Rhode, Angela Anjorin, Sanjeet Hegde, Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Pier Lambiase, Clifford Bucknall, Derek L. G. Hill, Reza Razavi |
| 2004 | MICCAI | Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images. | Carlos E. Thomaz, James P. Boardman, Derek L. G. Hill, Joseph V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan Fyfe Gillies, Daniel Rueckert |
| 2004 | MICCAI | Simultaneous Segmentation and Registration for Medical Image. | Xiaohua Chen, Michael Brady, Daniel Rueckert |
| 2003 | FPL | FPGA-Based Computation of Free-Form Deformations. | Jun Jiang, Wayne Luk, Daniel Rueckert |
| 2003 | MICCAI | An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth. | James P. Boardman, Kanwal K. Bhatia, Serena J. Counsell, Joanna M. Allsop, Olga Kapellou, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Daniel Rueckert |
| 2003 | MICCAI | Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm. | Maria Lorenzo-Valds, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Daniel Rueckert |
| 2003 | MICCAI | Application of XMR 2D-3D Registration to Cardiac Interventional Guidance. | Kawal S. Rhode, Derek L. G. Hill, Philip J. Edwards, John H. Hipwell, Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Sanjeet Hegde, Vithuran Rahunathan, Reza Razavi |
| 2002 | MICCAI | A Dynamic Brain Atlas. | Derek L. G. Hill, Joseph V. Hajnal, Daniel Rueckert, Stephen M. Smith, Thomas Hartkens, Kate McLeish |
| 2002 | MICCAI | Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration. | Maria Lorenzo-Valds, Gerardo I. Sanchez-Ortiz, Raad Mohiaddin, Daniel Rueckert |
| 2002 | MICCAI | Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration. | Anil Rao, Gerardo I. Sanchez-Ortiz, Raghavendra Chandrashekara, Maria Lorenzo-Valds, Raad Mohiaddin, Daniel Rueckert |
| 2001 | MICCAI | Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration. | Daniel Rueckert, Alejandro F. Frangi, Julia A. Schnabel |
| 2001 | MICCAI | A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations. | Julia A. Schnabel, Daniel Rueckert, Marcel Quist, Jane M. Blackall, Andy D. Castellano-Smith, Thomas Hartkens, Graeme P. Penney, Walter A. Hall, Haiying Liu, Charles L. Truwit, Frans A. Gerritsen, Derek L. G. Hill, David J. Hawkes |
| 2000 | MICCAI | An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound. | Jane M. Blackall, Daniel Rueckert, Calvin R. Maurer Jr., Graeme P. Penney, Derek L. G. Hill, David J. Hawkes |
| 2000 | MICCAI | Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images. | Christine Tanner, Julia A. Schnabel, Daniel Chung, Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes |
| 1999 | MICCAI | Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. | Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes |
| 1999 | MICCAI | Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging. | Derek L. G. Hill, Calvin R. Maurer Jr., Alastair J. Martin, Saras Sabanathan, Walter A. Hall, David J. Hawkes, Daniel Rueckert, Charles L. Truwit |
| 1998 | MICCAI | Non-rigid Registration of Breast MR Images Using Mutual Information. | Daniel Rueckert, Carmel Hayes, Colin Studholme, Paul E. Summers, Martin O. Leach, David J. Hawkes |
| 1996 | BMVC | Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images. | Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Peter Burger |
| 1995 | BMVC | Contour Fitting using an Adaptive Spline Model. | Daniel Rueckert, Peter Burger |