United Kingdom (GB)

Intelligent image synthesis to attack a segmentation CNN using adversarial learning (2019) Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D Conference contribution Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction (2019) Schlemper J, Salehi SSM, Kundu P, Lazarus C, Dyvorne H, Rueckert D, Sofka M Conference contribution Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI (2019) Seegoolam G, Schlemper J, Qin C, Price A, Hajnal J, Rueckert D Conference contribution Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images (2019) Chen C, Biffi C, Tarroni G, Petersen S, Bai W, Rueckert D Conference contribution Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction (2019) Bai W, Chen C, Tarroni G, Duan J, Guitton F, Petersen SE, Guo Y, et al. Conference contribution k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations (2019) Qin C, Schlemper J, Duan J, Seegoolam G, Price A, Hajnal J, Rueckert D Conference contribution Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation (2019) Ouyang C, Kamnitsas K, Biffi C, Duan J, Rueckert D Conference contribution Vs-net: Variable splitting network for accelerated parallel MRI reconstruction (2019) Duan J, Schlemper J, Qin C, Ouyang C, Bai W, Biffi C, Bello G, et al. Conference contribution Handbook of medical image computing and computer assisted intervention (2019) Kevin Zhou S, Fichtinger G, Rueckert D Authored book Optimizing maternal fat suppression with constrained image-based shimming in fetal MR (2019) Gaspar AS, Nunes RG, Ferrazzi G, Hughes EJ, Hutter J, Malik SJ, Mccabe L, et al. Journal article