Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI - Chen Qin; Shuo Wang; Chen Chen; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (CoRR, 2020)

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu; Gongning Luo; et al. (CoRR, 2020)

3D Probabilistic Segmentation and Volumetry from 2D projection images - Athanasios Vlontzos; Samuel Budd; Benjamin Hou; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

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 (CoRR, 2020)

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 (CoRR, 2020)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction - Esther Puyol-Antón; 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 (CoRR, 2020)

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; Benjamin M. Glocker (CoRR, 2020)

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction - Chen Qin; Jo Schlemper; Kerstin Hammernik; Jinming Duan; Ronald M. Summers; Daniel Rueckert (CoRR, 2020)

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation - Cheng Ouyang; Carlo Biffi; Chen Chen; Turkay Kart; Huaqi Qiu; Daniel Rueckert (CoRR, 2020)

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; Loïc Le Folgoc; John Cupitt; Antonios Makropoulos; Andreas Schuh; Daniel Rueckert; Amir Alansary (CoRR, 2020)

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 (CoRR, 2020)

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images - Guy Leroy; Daniel Rueckert; Amir Alansary (CoRR, 2020)

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment - Qingjie Meng; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (CoRR, 2020)

Causal Future Prediction in a Minkowski Space-Time - Athanasios Vlontzos; Henrique Bergallo Rocha; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

Patch-based Brain Age Estimation from MR Images - Kyriaki-Margarita Bintsi; Vasileios Baltatzis; Arinbjörn Kolbeinsson; Alexander Hammers; Daniel Rueckert (CoRR, 2020)

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction - Moritz Knolle; Georgios Kaissis; Friederike Jungmann; Sebastian Ziegelmayer; Daniel Sasse; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren (CoRR, 2020)

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare - Matei Grama; Maria Musat; Luis Muñoz-González; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary (CoRR, 2020)

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 (CoRR, 2020)

Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging - Qingjie Meng; Jacqueline Matthew; Veronika A. Zimmer; Alberto Gómez; David F. A. Lloyd; Daniel Rueckert; Bernhard Kainz (CoRR, 2020)

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification - Veneta Haralampieva; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2020)

2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments - Harry Cai; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2020)

Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs - Seoin Chai; Daniel Rueckert; Ahmed E. Fetit (CoRR, 2020)

Privacy-preserving medical image analysis - Alexander Ziller; Jonathan Passerat-Palmbach; Théo Ryffel; Dmitrii Usynin; Andrew Trask; Ionésio Da Lima Costa Junior; Jason Mancuso; Marcus R. Makowski; Daniel Rueckert; Rickmer Braren; Georgios Kaissis (CoRR, 2020)

Age-related craniofacial differences based on spatio-temporal face image atlases - Igor R. R. Xavier; Gilson A. Giraldi; Stuart James Gibson; Gilka J. F. Gattas; Daniel Rueckert; Carlos E. Thomaz (IET Image Process., 2019)

Evaluating reinforcement learning agents for anatomical landmark detection - Amir Alansary; Ozan Oktay; Yuanwei Li; Loïc Le Folgoc; Benjamin Hou; Ghislain Vaillant; Konstantinos Kamnitsas; Athanasios Vlontzos; Ben Glocker; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2019)

Attention gated networks: Learning to leverage salient regions in medical images - Jo Schlemper; Ozan Oktay; Michiel Schaap; Mattias P. Heinrich; Bernhard Kainz; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2019)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; James R. Clough; Gastão Cruz; Aurélien Bustin; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Medical Image Anal., 2019)

Computational anatomy for multi-organ analysis in medical imaging: A review - Juan J. Cerrolaza; Mirella López Picazo; Ludovic Humbert; Yoshinobu Sato; Daniel Rueckert; Miguel Ángel González Ballester; Marius George Linguraru (Medical Image Anal., 2019)

Self-supervised learning for medical image analysis using image context restoration - Liang Chen; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (Medical Image Anal., 2019)

Deep-learning cardiac motion analysis for human survival prediction - Ghalib A. Bello; Timothy J. W. Dawes; Jinming Duan; Carlo Biffi; Antonio de Marvao; Luke S. G. E. Howard; J. Simon R. Gibbs; Martin R. Wilkins; Stuart A. Cook; Daniel Rueckert; Declan P. O'Regan (Nat. Mach. Intell., 2019)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project - Matteo Bastiani; Jesper L. R. Andersson; Lucilio Cordero-Grande; Maria Murgasova; Jana Hutter; Anthony N. Price; Antonios Makropoulos; Sean P. Fitzgibbon; Emer J. Hughes; Daniel Rueckert; Suresh Victor; Mary A. Rutherford; et al. (NeuroImage, 2019)

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort - Gabriel Balaban; Brian Halliday; Wenjia Bai; Bradley Porter; Carlotta Malvuccio; Pablo Lamata; Christopher A. Rinaldi; Gernot Plank; Daniel Rueckert; Sanjay K. Prasad; Martin J. Bishop (PLoS Comput. Biol., 2019)

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction - Chen Qin; Jo Schlemper; Jose Caballero; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Learning-Based Quality Control for Cardiac MR Images - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Ben Glocker; Paul M. Matthews; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach - Jinming Duan; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (IEEE Trans. Medical Imaging, 2019)

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging - Qingjie Meng; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz; Matthew Sinclair; Veronika A. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Ozan Oktay; et al. (IEEE Trans. Medical Imaging, 2019)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I, 2019)

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations - Chen Qin; Bibo Shi; Rui Liao; Tommaso Mansi; Daniel Rueckert; Ali Kamen (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders - Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Ilkay Öksüz; Daniel Rueckert; Reza Razavi; Andrew P. King (Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, 2019)

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound - Qingjie Meng; Nick Pawlowski; Daniel Rueckert; Bernhard Kainz (Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings, 2019)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning - Liang Chen; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (Simulation and Synthesis in Medical Imaging - 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training - Huaqi Qiu; Chen Qin; Loïc Le Folgoc; Benjamin Hou; Jo Schlemper; Daniel Rueckert (Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, 2019)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation - Chen Chen; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, 2019)

Multiple Landmark Detection Using Multi-agent Reinforcement Learning - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Complete Fetal Head Compounding from Multi-view 3D Ultrasound - Robert Wright; Nicolas Toussaint; Alberto Gómez; Veronika A. M. Zimmer; Bishesh Khanal; Jacqueline Matthew; Emily Skelton; Bernhard Kainz; Daniel Rueckert; Joseph V. Hajnal; Julia A. Schnabel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation - Cheng Ouyang; Konstantinos Kamnitsas; Carlo Biffi; Jinming Duan; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II, 2019)

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI - Gavin Seegoolam; Jo Schlemper; Chen Qin; Anthony Price; Joseph V. Hajnal; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes - Ognjen (Oggi) Rudovic; Yuria Utsumi; Ricardo Guerrero; Kelly Peterson; Daniel Rueckert; Rosalind W. Picard (Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA, 2019)

Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings - Florian Knoll; Andreas Maier; Daniel Rueckert; Jong Chul Ye (Springer, 2019)

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study - Robert Robinson; Vanya V. Valindria; Wenjia Bai; Ozan Oktay; Bernhard Kainz; Hideaki Suzuki; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; et al. (CoRR, 2019)

Generalising Deep Learning MRI Reconstruction across Different Domains - Cheng Ouyang; Jo Schlemper; Carlo Biffi; Gavin Seegoolam; Jose Caballero; Anthony N. Price; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views using Conditional Variational Autoencoders - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Antonio de Marvao; Stuart A. Cook; Declan P. O'Regan; Daniel Rueckert (CoRR, 2019)

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations - Chen Qin; Bibo Shi; Rui Liao; Tommaso Mansi; Daniel Rueckert; Ali Kamen (CoRR, 2019)

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

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (CoRR, 2019)

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling - Carlo Biffi; Juan J. Cerrolaza; Giacomo Tarroni; Wenjia Bai; Ozan Oktay; Loïc Le Folgoc; Konstantinos Kamnitsas; Antonio de Marvao; Georgia Doumou; Jinming Duan; Sanjay K. Prasad; Stuart A. Cook; et al. (CoRR, 2019)

Multiple Landmark Detection using Multi-Agent Reinforcement Learning - Athanasios Vlontzos; Amir Alansary; Konstantinos Kamnitsas; Daniel Rueckert; Bernhard Kainz (CoRR, 2019)

Improving the generalizability of convolutional neural network-based segmentation on CMR images - Chen Chen; Wenjia Bai; Rhodri H. Davies; Anish N. Bhuva; Charlotte Manisty; James C. Moon; Nay Aung; Aaron M. Lee; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; Steffen E. Petersen; et al. (CoRR, 2019)

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 (CoRR, 2019)

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation - Cheng Ouyang; Konstantinos Kamnitsas; Carlo Biffi; Jinming Duan; Daniel Rueckert (CoRR, 2019)

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 (CoRR, 2019)

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 (CoRR, 2019)

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 (CoRR, 2019)

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders - Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Ilkay Öksüz; Daniel Rueckert; Reza Razavi; Andrew P. King (CoRR, 2019)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation - Chen Chen; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (CoRR, 2019)

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 (CoRR, 2019)

Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound - Qingjie Meng; Nick Pawlowski; Daniel Rueckert; Bernhard Kainz (CoRR, 2019)

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps - Benjamin Hou; Athanasios Vlontzos; Amir Alansary; Daniel Rueckert; Bernhard Kainz (CoRR, 2019)

Model-Based and Data-Driven Strategies in Medical Image Computing - Daniel Rueckert; Julia A. Schnabel (CoRR, 2019)

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance - Jo Schlemper; Ilkay Öksüz; James R. Clough; Jinming Duan; Andrew P. King; Julia A. Schnabel; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Intelligent image synthesis to attack a segmentation CNN using adversarial learning - Liang Chen; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (CoRR, 2019)

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction - Jo Schlemper; Jinming Duan; Cheng Ouyang; Chen Qin; Jose Caballero; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network - Shihao Jin; Nicoló Savioli; Antonio de Marvao; Timothy J. W. Dawes; Axel Gandy; Daniel Rueckert; Declan P. O'Regan (CoRR, 2019)

Deep learning for cardiac image segmentation: A review - Chen Chen; Chen Qin; Huaqi Qiu; Giacomo Tarroni; Jinming Duan; Wenjia Bai; Daniel Rueckert (CoRR, 2019)

\(Σ\)-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction - Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan; Ronald M. Summers; Daniel Rueckert (CoRR, 2019)

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework - Carlo Biffi; Antonio de Marvao; Mark I Attard; Timothy J. W. Dawes; Nicola Whiffin; Wenjia Bai; Wenzhe Shi; Catherine Francis; Hannah Meyer; Rachel J. Buchan; Stuart A. Cook; Daniel Rueckert; et al. (Bioinform., 2018)

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients - Matthew Sinclair; Devis Peressutti; Esther Puyol-Antón; Wenjia Bai; Simone Rivolo; Jessica Webb; Simon Claridge; Thomas Jackson; David Nordsletten; Myrianthi Hadjicharalambous; Eric Kerfoot; Christopher Aldo Rinaldi; et al. (Medical Image Anal., 2018)

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew C. H. Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (Medical Image Anal., 2018)

Multimodal surface matching with higher-order smoothness constraints - Emma C. Robinson; Kara Garcia; Matthew F. Glasser; Zhengdao Chen; Timothy S. Coalson; Antonios Makropoulos; Jelena Bozek; Robert Wright; Andreas Schuh; Matthew A. Webster; Jana Hutter; Anthony Price; et al. (NeuroImage, 2018)

A spatio-temporal reference model of the aging brain - Wyke Huizinga; Dirk H. J. Poot; Meike W. Vernooij; Gennady Roshchupkin; Esther Bron; Mohammad Arfan Ikram; Daniel Rueckert; Wiro J. Niessen; Stefan Klein (NeuroImage, 2018)

Metric learning with spectral graph convolutions on brain connectivity networks - Sofia Ira Ktena; Sarah Parisot; Enzo Ferrante; Martin Rajchl; Matthew C. H. Lee; Ben Glocker; Daniel Rueckert (NeuroImage, 2018)

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex - Salim Arslan; Sofia Ira Ktena; Antonios Makropoulos; Emma C. Robinson; Daniel Rueckert; Sarah Parisot (NeuroImage, 2018)

A review on automatic fetal and neonatal brain MRI segmentation - Antonios Makropoulos; Serena J. Counsell; Daniel Rueckert (NeuroImage, 2018)

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction - Antonios Makropoulos; Emma C. Robinson; Andreas Schuh; Robert Wright; Sean P. Fitzgibbon; Jelena Bozek; Serena J. Counsell; Johannes K. Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; et al. (NeuroImage, 2018)

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies - Lisa M. Koch; Martin Rajchl; Wenjia Bai; Christian F. Baumgartner; Tong Tong; Jonathan Passerat-Palmbach; Paul Aljabar; Daniel Rueckert (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

A large margin algorithm for automated segmentation of white matter hyperintensity - Chen Qin; Ricardo Guerrero; Christopher Bowles; Liang Chen; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (Pattern Recognit., 2018)

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge - Avan Suinesiaputra; Pierre Ablin; Xènia Albà; Martino Alessandrini; Jack Allen; Wenjia Bai; Serkan Çimen; Peter Claes; Brett R. Cowan; Jan D'hooge; Nicolas Duchateau; Jan Ehrhardt; et al. (IEEE J. Biomed. Health Informatics, 2018)

Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint - Maria Kuklisova-Murgasova; Georgia Lockwood Estrin; Rita Gouveia Nunes; Shaihan J. Malik; Mary A. Rutherford; Daniel Rueckert; Joseph V. Hajnal (IEEE Trans. Medical Imaging, 2018)

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation - Ozan Oktay; Enzo Ferrante; Konstantinos Kamnitsas; Mattias P. Heinrich; Wenjia Bai; Jose Caballero; Stuart A. Cook; Antonio de Marvao; Timothy Dawes; Declan P. O'Regan; Bernhard Kainz; Ben Glocker; et al. (IEEE Trans. Medical Imaging, 2018)

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction - Jo Schlemper; Jose Caballero; Joseph V. Hajnal; Anthony N. Price; Daniel Rueckert (IEEE Trans. Medical Imaging, 2018)

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images - Benjamin Hou; Bishesh Khanal; Amir Alansary; Steven G. McDonagh; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (IEEE Trans. Medical Imaging, 2018)

DRINet for Medical Image Segmentation - Liang Chen; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (IEEE Trans. Medical Imaging, 2018)

The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry - Gabriel Balaban; Caroline Mendonça Costa; Brian Halliday; Bradley Porter; Wenjia Bai; Gernot Plank; Christopher A. Rinaldi; Daniel Rueckert; Sanjay K. Prasad; Martin J. Bishop (Computing in Cardiology, CinC 2018, Maastricht, The Netherlands, September 23-26, 2018, 2018)

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks - Matthew Sinclair; Christian F. Baumgartner; Jacqueline Matthew; Wenjia Bai; Juan Cerrolaza Martinez; Yuanwei Li; Sandra Smith; Caroline L. Knight; Bernhard Kainz; Joseph V. Hajnal; Andrew P. King; Daniel Rueckert (40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, 2018)

Fetal Skull Reconstruction via Deep Convolutional Autoencoders - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez; Jacqueline Matthew; Matthew Sinclair; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, 2018)

Semi-Supervised Learning via Compact Latent Space Clustering - Konstantinos Kamnitsas; Daniel Coelho de Castro; Loïc Le Folgoc; Ian Walker; Ryutaro Tanno; Daniel Rueckert; Ben Glocker; Antonio Criminisi; Aditya V. Nori (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

Automatic left ventricular outflow tract classification for accurate cardiac MR planning - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Matthew Sinclair; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Deep learning with ultrasound physics for fetal skull segmentation - Juan J. Cerrolaza; Matthew Sinclair; Yuanwei Li; Alberto Gómez; Enzo Ferrante; Jacqueline Matthew; Chandni Gupta; Caroline L. Knight; Daniel Rueckert (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity - Salim Arslan; Sofia Ira Ktena; Ben Glocker; Daniel Rueckert (Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, 2018)

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction - Ilkay Öksüz; James R. Clough; Aurélien Bustin; Gastão Cruz; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

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 (Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

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 (Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Automatic Shadow Detection in 2D Ultrasound Images - Qingjie Meng; Christian F. Baumgartner; Matthew Sinclair; James Housden; Martin Rajchl; Alberto Gómez; Benjamin Hou; Nicolas Toussaint; Veronika A. M. Zimmer; Jeremy Tan; Jacqueline Matthew; Daniel Rueckert; et al. (Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers - Bishesh Khanal; Alberto Gómez; Nicolas Toussaint; Steven G. McDonagh; Veronika A. M. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images - Robert Wright; Bishesh Khanal; Alberto Gómez; Emily Skelton; Jacqueline Matthew; Joseph V. Hajnal; Daniel Rueckert; Julia A. Schnabel (Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction - Maximilian Seitzer; Guang Yang; Jo Schlemper; Ozan Oktay; Tobias Würfl; Vincent Christlein; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Daniel Rueckert; Andreas K. Maier (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

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 (Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven G. McDonagh; Ben Glocker; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Multi-task Learning for Left Atrial Segmentation on GE-MRI - Chen Chen; Wenjia Bai; Daniel Rueckert (Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

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 (Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings, 2018)

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks - Juan J. Cerrolaza; Yuanwei Li; Carlo Biffi; Alberto Gómez; Matthew Sinclair; Jacqueline Matthew; Caronline Knight; Bernhard Kainz; Daniel Rueckert (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Real-Time Prediction of Segmentation Quality - Robert Robinson; Ozan Oktay; Wenjia Bai; Vanya V. Valindria; Mihir M. Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV, 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven G. McDonagh; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks - Christopher Bowles; Roger N. Gunn; Alexander Hammers; Daniel Rueckert (Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018, 2018)

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI - Vanya V. Valindria; Nick Pawlowski; Martin Rajchl; Ioannis Lavdas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Lake Tahoe, NV, USA, March 12-15, 2018, 2018)

Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings - Florian Knoll; Andreas K. Maier; Daniel Rueckert (Springer, 2018)

Learning-Based Quality Control for Cardiac MR Images - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Paul M. Matthews; Daniel Rueckert (CoRR, 2018)

Attention U-Net: Learning Where to Look for the Pancreas - Ozan Oktay; Jo Schlemper; Loïc Le Folgoc; Matthew C. H. Lee; Mattias P. Heinrich; Kazunari Misawa; Kensaku Mori; Steven G. McDonagh; Nils Y. Hammerla; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection - Jo Schlemper; Ozan Oktay; Liang Chen; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks - Matthew Sinclair; Christian F. Baumgartner; Jacqueline Matthew; Wenjia Bai; Juan Cerrolaza Martinez; Yuanwei Li; Sandra Smith; Caroline L. Knight; Bernhard Kainz; Joseph V. Hajnal; Andrew P. King; Daniel Rueckert (CoRR, 2018)

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry - Benjamin Hou; Nina Miolane; Bishesh Khanal; Matthew C. H. Lee; Amir Alansary; Steven G. McDonagh; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (CoRR, 2018)

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 (CoRR, 2018)

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (CoRR, 2018)

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease - Sarah Parisot; Sofia Ira Ktena; Enzo Ferrante; Matthew Lee; Ricardo Guerrero; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity - Salim Arslan; Sofia Ira Ktena; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Semi-Supervised Learning via Compact Latent Space Clustering - Konstantinos Kamnitsas; Daniel Coelho de Castro; Loïc Le Folgoc; Ian Walker; Ryutaro Tanno; Daniel Rueckert; Ben Glocker; Antonio Criminisi; Aditya V. Nori (CoRR, 2018)

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 (CoRR, 2018)

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents - Amir Alansary; Loïc Le Folgoc; Ghislain Vaillant; Ozan Oktay; Yuanwei Li; Wenjia Bai; Jonathan Passerat-Palmbach; Ricardo Guerrero; Konstantinos Kamnitsas; Benjamin Hou; Steven G. McDonagh; Ben Glocker; et al. (CoRR, 2018)

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 (CoRR, 2018)

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines - Martin Rajchl; Nick Pawlowski; Daniel Rueckert; Paul M. Matthews; Ben Glocker (CoRR, 2018)

Real-time Prediction of Segmentation Quality - Robert Robinson; Ozan Oktay; Wenjia Bai; Vanya V. Valindria; Mihir Sanghvi; Nay Aung; José Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M. Lee; Valentina Carapella; et al. (CoRR, 2018)

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 (CoRR, 2018)

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 (CoRR, 2018)

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction - Maximilian Seitzer; Guang Yang; Jo Schlemper; Ozan Oktay; Tobias Würfl; Vincent Christlein; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Daniel Rueckert; Andreas K. Maier (CoRR, 2018)

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 (CoRR, 2018)

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers - Bishesh Khanal; Alberto Gómez; Nicolas Toussaint; Steven G. McDonagh; Veronika A. Zimmer; Emily Skelton; Jacqueline Matthew; Daniel Grzech; Robert Wright; Chandni Gupta; Benjamin Hou; Daniel Rueckert; et al. (CoRR, 2018)

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 (CoRR, 2018)

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 (CoRR, 2018)

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 (CoRR, 2018)

Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (CoRR, 2018)

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images - Jo Schlemper; Ozan Oktay; Michiel Schaap; Mattias P. Heinrich; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach - Jinming Duan; Ghalib Bello; Jo Schlemper; Wenjia Bai; Timothy J. W. Dawes; Carlo Biffi; Antonio de Marvao; Georgia Doumou; Declan P. O'Regan; Daniel Rueckert (CoRR, 2018)

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 (CoRR, 2018)

Deep learning cardiac motion analysis for human survival prediction - Ghalib A. Bello; Timothy J. W. Dawes; Jinming Duan; Carlo Biffi; Antonio de Marvao; Luke S. G. E. Howard; J. Simon R. Gibbs; Martin R. Wilkins; Stuart A. Cook; Daniel Rueckert; Declan P. O'Regan (CoRR, 2018)

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks - Christopher Bowles; Liang Chen; Ricardo Guerrero; Paul Bentley; Roger N. Gunn; Alexander Hammers; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (CoRR, 2018)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; James R. Clough; Gastão Cruz; Aurélien Bustin; Claudia Prieto; René M. Botnar; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (CoRR, 2018)

Multi-Task Learning for Left Atrial Segmentation on GE-MRI - Chen Chen; Wenjia Bai; Daniel Rueckert (CoRR, 2018)

A generic framework for privacy preserving deep learning - Théo Ryffel; Andrew Trask; Morten Dahl; Bobby Wagner; Jason Mancuso; Daniel Rueckert; Jonathan Passerat-Palmbach (CoRR, 2018)

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging - Qingjie Meng; Matthew Sinclair; Veronika A. M. Zimmer; Benjamin Hou; Martin Rajchl; Nicolas Toussaint; Alberto Gómez; James Housden; Jacqueline Matthew; Daniel Rueckert; Julia A. Schnabel; Bernhard Kainz (CoRR, 2018)

GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation - Christopher Bowles; Roger N. Gunn; Alexander Hammers; Daniel Rueckert (CoRR, 2018)

Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review - Juan J. Cerrolaza; Mirella López Picazo; Ludovic Humbert; Yoshinobu Sato; Daniel Rueckert; Miguel Ángel González Ballester; Marius George Linguraru (CoRR, 2018)

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System - Jonathan Passerat-Palmbach; Romain Reuillon; Mathieu Leclaire; Antonios Makropoulos; Emma C. Robinson; Sarah Parisot; Daniel Rueckert (Frontiers Neuroinformatics, 2017)

Autoadaptive motion modelling for MR-based respiratory motion estimation - Christian F. Baumgartner; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction - Devis Peressutti; Matthew Sinclair; Wenjia Bai; Thomas Jackson; Jacobus Ruijsink; David Nordsletten; Liya Asner; Myrianthi Hadjicharalambous; Christopher Aldo Rinaldi; Daniel Rueckert; Andrew P. King (Medical Image Anal., 2017)

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation - Konstantinos Kamnitsas; Christian Ledig; Virginia F. J. Newcombe; Joanna P. Simpson; Andrew D. Kane; David K. Menon; Daniel Rueckert; Ben Glocker (Medical Image Anal., 2017)

Multi-atlas pancreas segmentation: Atlas selection based on vessel structure - Kenichi Karasawa; Masahiro Oda; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Chengwen Chu; Guoyan Zheng; Daniel Rueckert; Kensaku Mori (Medical Image Anal., 2017)

Learning and combining image neighborhoods using random forests for neonatal brain disease classification - Veronika A. M. Zimmer; Ben Glocker; Nadine Hahner; Elisenda Eixarch; Gerard Sanromá; Eduard Gratacós; Daniel Rueckert; Miguel Ángel González Ballester; Gemma Piella (Medical Image Anal., 2017)

A flexible graphical model for multi-modal parcellation of the cortex - Sarah Parisot; Ben Glocker; Sofia Ira Ktena; Salim Arslan; Markus D. Schirmer; Daniel Rueckert (NeuroImage, 2017)

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion - Tong Tong; Katherine R. Gray; Qinquan Gao; Liang Chen; Daniel Rueckert (Pattern Recognit., 2017)

Supervoxel classification forests for estimating pairwise image correspondences - Fahdi Kanavati; Tong Tong; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Daniel Rueckert; Ben Glocker (Pattern Recognit., 2017)

Group-constrained manifold learning: Application to AD risk assessment - Ricardo Guerrero; Christian Ledig; Alexander Schmidt-Richberg; Daniel Rueckert (Pattern Recognit., 2017)

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease - Tong Tong; Qinquan Gao; Ricardo Guerrero; Christian Ledig; Liang Chen; Daniel Rueckert (IEEE Trans. Biomed. Eng., 2017)

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images - Ozan Oktay; Wenjia Bai; Ricardo Guerrero; Martin Rajchl; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Mattias P. Heinrich; Ben Glocker; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks - Martin Rajchl; Matthew C. H. Lee; Ozan Oktay; Konstantinos Kamnitsas; Jonathan Passerat-Palmbach; Wenjia Bai; Mellisa Damodaram; Mary A. Rutherford; Joseph V. Hajnal; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (IEEE Trans. Medical Imaging, 2017)

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI - Amir Alansary; Martin Rajchl; Steven G. McDonagh; Maria Murgasova; Mellisa Damodaram; David F. A. Lloyd; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (IEEE Trans. Medical Imaging, 2017)

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Accessible GLSL Shader Programming - Antoine Toisoul; Daniel Rueckert; Bernhard Kainz (38th Annual Conference of the European Association for Computer Graphics, Eurographics 2017 - Education Papers, Lyon, France, April 24-28, 2017, 2017)

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images - Giacomo Tarroni; Ozan Oktay; Wenjia Bai; Andreas Schuh; Hideaki Suzuki; Jonathan Passerat-Palmbach; Ben Glocker; Antonio de Marvao; Declan P. O'Regan; Stuart A. Cook; Daniel Rueckert (Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings, 2017)

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks - Konstantinos Kamnitsas; Christian F. Baumgartner; Christian Ledig; Virginia F. J. Newcombe; Joanna P. Simpson; Andrew D. Kane; David K. Menon; Aditya V. Nori; Antonio Criminisi; Daniel Rueckert; Ben Glocker (Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, 2017)

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction - Jo Schlemper; Jose Caballero; Joseph V. Hajnal; Anthony N. Price; Daniel Rueckert (Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, 2017)

Exploring heritability of functional brain networks with inexact graph matching - Sofia Ira Ktena; Salim Arslan; Sarah Parisot; Daniel Rueckert (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

A deformable model for the reconstruction of the neonatal cortex - Andreas Schuh; Antonios Makropoulos; Robert Wright; Emma C. Robinson; Nora Tusor; Johannes K. Steinweg; Emer J. Hughes; Lucilio Cordero-Grande; Anthony N. Price; Jana Hutter; Joseph V. Hajnal; Daniel Rueckert (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest - Juan J. Cerrolaza; Ozan Oktay; Alberto Gómez; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Daniel Rueckert (Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, 2017)

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation - Fahdi Kanavati; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori; Daniel Rueckert; Ben Glocker (Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings, 2017)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

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 (Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings, 2017)

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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II, 2017)

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion - Benjamin Hou; Amir Alansary; Steven G. McDonagh; Alice Davidson; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Ben Glocker; Bernhard Kainz (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II, 2017)

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets - Matthew Sinclair; Wenjia Bai; Esther Puyol-Antón; Ozan Oktay; Daniel Rueckert; Andrew P. King (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II, 2017)

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation - Konstantinos Kamnitsas; Wenjia Bai; Enzo Ferrante; Steven G. McDonagh; Matthew Sinclair; Nick Pawlowski; Martin Rajchl; Matthew C. H. Lee; Bernhard Kainz; Daniel Rueckert; Ben Glocker (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers, 2017)