Associative Deep Clustering: Training a Classification Network with No Labels (2019) Haeusser P, Plapp J, Golkov V, Aljalbout E, Cremers D Conference contribution Deep Depth from Focus (2019) Hazirbas C, Soyer SG, Staab MC, Leal-Taixe L, Cremers D Conference contribution Shape-Aware Complementary-Task Learning for Multi-organ Segmentation (2019) Navarro F, Shit S, Ezhov I, Paetzold J, Gafita A, Peeken JC, Combs SE, Menze BH Conference contribution Multi-task Learning for Left Atrial Segmentation on GE-MRI (2019) Chen C, Bai W, Rueckert D Conference contribution Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations (2019) Qin C, Shi B, Liao R, Mansi T, Rueckert D, Kamen A Conference contribution Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space (2019) Oksuz I, Clough J, Ruijsink B, Puyol-Anton E, Bustin A, Cruz G, Prieto C, et al. Conference contribution 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