Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation (2020) Wang S, Tarroni G, Qin C, Mo Y, Dai C, Chen C, Glocker B, et al. Conference contribution Interpretable deep models for cardiac resynchronisation therapy response prediction (2020) Puyol-Antón E, Chen C, Clough JR, Ruijsink B, Sidhu BS, Gould J, Porter B, et al. Conference contribution Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation (2020) Ouyang C, Biffi C, Chen C, Kart T, Qiu H, Rueckert D Conference contribution Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface (2020) Vosylius V, Wang A, Waters C, Zakharov A, Ward F, Le Folgoc L, Cupitt J, et al. Conference contribution Realistic adversarial data augmentation for mr image segmentation (2020) Chen C, Qin C, Qiu H, Ouyang C, Wang S, Chen L, Tarroni G, et al. Conference contribution Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography (2020) Hassan ON, Sahin S, Mohammadzadeh V, Yang X, Amini N, Mylavarapu A, Martinyan J, et al. Conference contribution Patch-Based Brain Age Estimation from MR Images (2020) Bintsi KM, Baltatzis V, Kolbeinsson A, Hammers A, Rueckert D Conference contribution Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images (2020) Leroy G, Rueckert D, Alansary A Conference contribution Diffusion tensor driven image registration: a deep learning approach (2020) Grigorescu I, Uus A, Christiaens D, Cordero-Grande L, Hutter J, Edwards AD, Hajnal JV, et al. Conference contribution Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain (2020) Uus A, Pietsch M, Grigorescu I, Christiaens D, Tournier JD, Grande LC, Hutter J, et al. Conference contribution