Daniel Rueckert - researchr alias

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Viewing Publication 1 - 100 from 586

2023

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEsQiang Ma 0004, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary. tmi, 42(2):430-443, February 2023. [doi]

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study ReportTaha 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. miccai 2023: 132-141 [doi]

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging DataPaul Hager, Martin J. Menten, Daniel Rueckert. cvpr 2023: 23924-23935 [doi]

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imagingKerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya. spm, 40(1):98-114, 2023. [doi]

Differentially Private Graph Neural Networks for Whole-Graph ClassificationTamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis. pami, 45(6):7308-7318, June 2023. [doi]

Causality-Inspired Single-Source Domain Generalization for Medical Image SegmentationCheng Ouyang, Chen Chen 0042, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert. tmi, 42(4):1095-1106, April 2023. [doi]

Generative myocardial motion tracking via latent space exploration with biomechanics-informed priorChen Qin, Shuo Wang, Chen Chen 0042, Wenjia Bai, Daniel Rueckert. mia, 83:102682, 2023. [doi]

DiagnosisDaniel Rueckert, Moritz Knolle, Nicolas Duchateau, Reza Razavi, Georgios Kaissis. In Nicolas Duchateau, Andrew P. King, editors, AI and Big Data in Cardiology: A Practical Guide. pages 85-103, Springer International Publishing, 2023. [doi]

Interactive and Explainable Region-guided Radiology Report GenerationTim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert. cvpr 2023: 7433-7442 [doi]

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC PatientsAlexander Ziller, Ayhan Can Erdur, Friederike Jungmann, Daniel Rueckert, Rickmer Braren, Georgios Kaissis. isbi 2023: 1-5 [doi]

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-viewVeronika A. Zimmer, Alberto Gómez 0002, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel. mia, 83:102639, 2023. [doi]

2022

Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based NetworkAdam Marcus 0003, Paul Bentley, Daniel Rueckert. miccai 2022: 52-62 [doi]

MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationChen Chen 0042, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert. miccai 2022: 151-161 [doi]

Enhancing MR image segmentation with realistic adversarial data augmentationChen Chen 0042, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert. mia, 82:102597, 2022. [doi]

Federated disentangled representation learning for unsupervised brain anomaly detectionCosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni. natmi, 4(8):685-695, 2022. [doi]

Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular DataMoritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer. miccai 2022: 137-148 [doi]

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-AnalysisYutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang 0001, Daniel Rueckert, David N. Firmin, Guang Yang 0006. pieee, 110(2):224-245, 2022. [doi]

Surface Vision Transformers: Attention-Based Modelling applied to Cortical AnalysisSimon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson. midl 2022: 282-303 [doi]

Learning a Model-Driven Variational Network for Deformable Image RegistrationXi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, LinLin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan 0001. tmi, 41(1):199-212, 2022. [doi]

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity IndexGeorgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert. jpc, 12(1), 2022. [doi]

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive BiasLinus Kreitner, Ivan Ezhov, Daniel Rueckert, Johannes C. Paetzold, Martin J. Menten. miccai 2023: 16-25 [doi]

Fetal Cortex Segmentation with Topology and Thickness Loss ConstraintsLiu Li, Qiang Ma 0004, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary. miccai 2022: 123-133 [doi]

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-NetTian-Rui Liu, Qingjie Meng, Junjie Huang 0001, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz. TIP, 31:1573-1586, 2022. [doi]

Unsupervised Anomaly Localization with Structural Feature-AutoencodersFelix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert. brainles-ws 2023: 14-24 [doi]

On the Pitfalls of Using the Residual Error as Anomaly ScoreFelix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert. midl 2022: 914-928 [doi]

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep LearningQingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert. miccai 2022: 248-258 [doi]

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRIQingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert. tmi, 41(8):1961-1974, 2022. [doi]

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT AngiographsMartin J. Menten, Johannes C. Paetzold, Alina Dima, Bjoern H. Menze, Benjamin Knier, Daniel Rueckert. miccai 2022: 330-340 [doi]

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart SegmentationMarica Muffoletto, Hao Xu, Hugo Barbaroux, Karl P. Kunze, Radhouène Neji, René M. Botnar, Claudia Prieto, Daniel Rueckert, Alistair A. Young. stacom-ws 2022: 91-100 [doi]

Joint Learning of Localized Representations from Medical Images and ReportsPhilip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert. eccv 2022: 685-701 [doi]

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-RaysPhilip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert. miccai 2022: 647-657 [doi]

Improved Post-hoc Probability Calibration for Out-of-Domain MRI SegmentationCheng Ouyang, Shuo Wang, Chen Chen 0042, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert. miccai 2022: 59-69 [doi]

Self-Supervised Learning for Few-Shot Medical Image SegmentationCheng Ouyang, Carlo Biffi, Chen Chen 0042, Turkay Kart, Huaqi Qiu, Daniel Rueckert. tmi, 41(7):1837-1848, 2022. [doi]

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE ImagingJiaZhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik. miccai 2022: 686-696 [doi]

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical DataMengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo 0002, Yuanyuan Wang 0001, Paul M. Matthews, Daniel Rueckert, Wenjia Bai. stacom-ws 2022: 3-12 [doi]

Embedding Gradient-Based Optimization in Image Registration NetworksHuaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen 0042, Daniel Rueckert. miccai 2022: 56-65 [doi]

Multi-Modal Unsupervised Brain Image Registration Using Edge MapsVasiliki Sideri-Lampretsa, Georgios Kaissis, Daniel Rueckert. isbi 2022: 1-5 [doi]

Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact RemovalMichael Tänzer, Sea Hee Yook, Pedro Ferreira, Guang Yang 0006, Daniel Rueckert, Sonia Nielles-Vallespin. stacom-ws 2022: 123-132 [doi]

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold ReductionMichael Tänzer, Pedro Ferreira, Andrew Scott, Zohya Khalique, Maria Dwornik, Dudley Pennell, Guang Yang 0006, Daniel Rueckert, Sonia Nielles-Vallespin. miua 2022: 101-115 [doi]

Can Collaborative Learning Be Private, Robust and Scalable?Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis. miccai 2022: 37-46 [doi]

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learningDmitrii Usynin, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis. popets, 2022(1):274-290, 2022. [doi]

Privacy: An Axiomatic ApproachAlexander Ziller, Tamara T. Mueller, Rickmer Braren, Daniel Rueckert, Georgios Kaissis. entropy, 24(5):714, 2022. [doi]

2021

Multiscale Graph Convolutional Networks for Cardiac Motion AnalysisPing Lu 0003, Wenjia Bai, Daniel Rueckert, J. Alison Noble. fimh 2021: 264-272 [doi]

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion AnalysisPing Lu 0003, Wenjia Bai, Daniel Rueckert, J. Alison Noble. isbi 2021: 122-125 [doi]

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationChen Chen 0042, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert. miccai 2021: 149-159 [doi]

Voxel-Level Importance Maps for Interpretable Brain Age EstimationKyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert. miccai 2021: 65-74 [doi]

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas MapsSamuel Budd, Matthew Sinclair, Thomas 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. miccai 2021: 207-217 [doi]

Reducing Textural Bias Improves Robustness of Deep Segmentation ModelsSeoin Chai, Daniel Rueckert, Ahmed E. Fetit. miua 2021: 294-304 [doi]

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional ConnectivitySimon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson. miccai 2021: 145-154 [doi]

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography ImagingAlina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren. miccai 2021: 596-605 [doi]

Motion-Guided Physics-Based Learning for Cardiac MRI ReconstructionKerstin Hammernik, JiaZhen Pan, Daniel Rueckert, Thomas Küstner. acssc 2021: 900-907 [doi]

Deep Learning Prediction Of Age And Sex From Optical Coherence TomographyOsama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew Lotery, Daniel Rueckert. isbi 2021: 238-242 [doi]

Bias Field Robustness Verification of Large Neural Image ClassifiersPatrick Henriksen, Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio. bmvc 2021: 202 [doi]

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI ChallengePatricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan 0001, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, 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. miccai 2021: 25-34 [doi]

End-to-end privacy preserving deep learning on multi-institutional medical imagingGeorgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. natmi, 3(6):473-484, 2021. [doi]

Transductive Image Segmentation: Self-training and Effect of Uncertainty EstimationKonstantinos 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. miccai 2021: 79-89 [doi]

DeepMCAT: Large-Scale Deep Clustering for Medical Image CategorizationTurkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert. miccai 2021: 259-267 [doi]

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRILiu Li, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary. miccai 2021: 221-230 [doi]

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface ReconstructionQiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary. miccai 2021: 73-81 [doi]

AutoSeg - Steering the Inductive Biases for Automatic Pathology SegmentationFelix Meissen, Georgios Kaissis, Daniel Rueckert. miccai 2022: 127-135 [doi]

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRIFelix Meissen, Georgios Kaissis, Daniel Rueckert. brainles-ws 2022: 63-74 [doi]

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound ImagingQingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gómez 0002, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz. tmi, 40(2):722-734, 2021. [doi]

Efficient Image Registration Network for Non-Rigid Cardiac Motion EstimationJiaZhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik. miccai 2021: 14-24 [doi]

Learning Diffeomorphic and Modality-invariant Registration using B-splinesHuaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert. midl 2021: 645-664 [doi]

Detecting Outliers with Poisson Image InterpolationJeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz. miccai 2021: 581-591 [doi]

Adversarial interference and its mitigations in privacy-preserving collaborative machine learningDmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach. natmi, 3(9):749-758, 2021. [doi]

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent OptimisationShuo Wang, Chen Qin, Nicoló Savioli, Chen Chen 0042, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai. miccai 2021: 14-24 [doi]

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future PromisesS. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers. pieee, 109(5):820-838, 2021. [doi]

2020

Realistic Adversarial Data Augmentation for MR Image SegmentationChen Chen 0042, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert. miccai 2020: 667-677 [doi]

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative ModelsCarlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan 0001, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert. tmi, 39(6):2088-2099, 2020. [doi]

Patch-Based Brain Age Estimation from MR ImagesKyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert. miccai 2020: 98-107 [doi]

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brainAhmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert. midl 2020: 230-240 [doi]

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labelingAhmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert. midl 2020: 241-261 [doi]

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report GenerationAydan Gasimova, Gavin Seegoolam, Liang Chen 0018, Paul Bentley, Daniel Rueckert. miccai 2020: 333-342 [doi]

A Systematic Comparison of Encrypted Machine Learning Solutions for Image ClassificationVeneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach. ccs 2020: 55-59 [doi]

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence TomographyOsama 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. isvc 2020: 761-772 [doi]

Secure, privacy-preserving and federated machine learning in medical imagingGeorgios Kaissis, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. natmi, 2(6):305-311, 2020. [doi]

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunkThomas Küstner, JiaZhen Pan, Christopher Gilliam, Haikun Qi, Gastao Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis. apsipa 2020: 976-985 [doi]

Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesGuy Leroy, Daniel Rueckert, Amir Alansary. miccai 2020: 177-186 [doi]

Ultrasound Video Summarization Using Deep Reinforcement LearningTianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz. miccai 2020: 483-492 [doi]

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart ConditionsPing Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble. miccai 2021: 56-65 [doi]

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal FeaturesPing Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble. miua 2020: 294-306 [doi]

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentQingjie Meng, Daniel Rueckert, Bernhard Kainz. miccai 2020: 146-157 [doi]

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without AnnotationCheng Ouyang, Carlo Biffi, Chen Chen 0042, Turkay Kart, Huaqi Qiu, Daniel Rueckert. eccv 2020: 762-780 [doi]

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response PredictionEsther Puyol-Antón, Chen Chen 0042, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Marc Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King. miccai 2020: 284-293 [doi]

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRIChen Qin, Shuo Wang, Chen Chen 0042, Huaqi Qiu, Wenjia Bai, Daniel Rueckert. miccai 2020: 296-306 [doi]

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance ImagesMuhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura. cmig, 79:101685, 2020. [doi]

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer NetworksRobert Robinson, Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Marius de Groot, Ronald M. Summers, Daniel Rueckert, Ben Glocker. miccai 2020: 710-719 [doi]

Model-Based and Data-Driven Strategies in Medical Image ComputingDaniel Rueckert, Julia A. Schnabel. pieee, 108(1):110-124, 2020. [doi]

Automated Detection of Congenital Heart Disease in Fetal Ultrasound ScreeningJeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz. miccai 2020: 243-252 [doi]

3D Probabilistic Segmentation and Volumetry from 2D Projection ImagesAthanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz. miccai 2020: 48-57 [doi]

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical SurfaceVitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary. miccai 2020: 174-186 [doi]

Deep Generative Model-Based Quality Control for Cardiac MRI SegmentationShuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen 0042, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai. miccai 2020: 88-97 [doi]

Transfer Learning for Brain Segmentation: Pre-task Selection and Data LimitationsJack Weatheritt, Daniel Rueckert, Robin Wolz. miua 2020: 118-130 [doi]

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