Publications
Convolutional Recurrent Neural Networks for Dynamic {MR} Image Reconstruction
Chen Qin andJo Schlemper andJose Caballero andAnthony N. Price andJoseph V. Hajnal andDaniel Rueckert , IEEE Trans. Med. Imaging, volume 38, pp.280–290, 2019
Universal Adversarial Perturbations to Understand Robustness of Texturevs. Shape-biased Training
Kenneth T. Co andLuis Mu~noz-Gonz'alez andLeslie Kanthan andBen Glocker andEmil C. Lupu , CoRR, volume abs/1911.10364, 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecastingof {AD} Cognitive Changes
Ognjen (Oggi) Rudovic andYuria Utsumi andRicardo Guerrero andKelly Peterson andDaniel Rueckert andRosalind W. Picard , Proceedings of the Machine Learning for Healthcare Conference, MLHC2019, 9-10 August 2019, Ann Arbor, Michigan, USA, volume 106, pp.181–196, 2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Chengliang Dai andYuanhan Mo andElsa D. Angelini andYike Guo andWenjia Bai , Domain Adaptation and Representation Transfer and Medical Image Learningwith Less Labels and Imperfect Data - First MICCAI Workshop, DART2019, and First International Workshop, MIL3ID 2019, Shenzhen, Heldin Conjunction with MICCAI 2019, Shenzhen, China, October 13 and17, 2019, Proceedings, volume 11795, pp.199–206, 2019
Graph Convolutional Gaussian Processes
Ian Walker andBen Glocker , Proceedings of the 36th International Conference on Machine Learning,ICML 2019, 9-15 June 2019, Long Beach, California, USA, volume 97, pp.6495–6504, 2019
Complete Fetal Head Compounding from Multi-view 3D Ultrasound
Robert Wright andNicolas Toussaint andAlberto G'omez andVeronika A. M. Zimmer andBishesh Khanal andJacqueline Matthew andEmily Skelton andBernhard Kainz andDaniel Rueckert andJoseph V. Hajnal andJulia A. Schnabel , Medical Image Computing and Computer Assisted Intervention - MICCAI2019 - 22nd International Conference, Shenzhen, China, October 13-17,2019, Proceedings, Part III, volume 11766, pp.384–392, 2019
dAUTOMAP: decomposing {AUTOMAP} to achieve scalability and enhanceperformance
Jo Schlemper andIlkay "Oks"uz andJames R. Clough andJinming Duan andAndrew P. King andJulia A. Schnabel andJoseph V. Hajnal andDaniel Rueckert , CoRR, volume abs/1909.10995, 2019
VS-Net: Variable splitting network for accelerated parallel {MRI}reconstruction
Jinming Duan andJo Schlemper andChen Qin andCheng Ouyang andWenjia Bai andCarlo Biffi andGhalib Bello andBen Statton andDeclan P. O'Regan andDaniel Rueckert , CoRR, volume abs/1907.10033, 2019
Quantitative Error Prediction of Medical Image Registration usingRegression Forests
Hessam Sokooti andGorkem Saygili andBen Glocker andBoudewijn P. F. Lelieveldt andMarius Staring , CoRR, volume abs/1905.07624, 2019
Unsupervised Deformable Registration for Multi-modal Images via DisentangledRepresentations
Chen Qin andBibo Shi andRui Liao andTommaso Mansi andDaniel Rueckert andAli Kamen , Information Processing in Medical Imaging - 26th International Conference,IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, volume 11492, pp.249–261, 2019