United Kingdom (GB)

Tbi lesion segmentation in head CT: Impact of preprocessing and data augmentation (2020) Monteiro M, Kamnitsas K, Ferrante E, Mathieu F, Mcdonagh S, Cook S, Stevenson S, et al. Conference contribution Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features (2020) Lu P, Qiu H, Qin C, Bai W, Rueckert D, Noble JA Conference contribution Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations (2020) Weatheritt J, Rueckert D, Wolz R Conference contribution Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI (2020) Qin C, Wang S, Chen C, Qiu H, Bai W, Rueckert D Conference contribution Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks (2020) Robinson R, Dou Q, Coelho de Castro D, Kamnitsas K, de Groot M, Summers RM, Rueckert D, Glocker B Conference contribution Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation (2020) Gasimova A, Seegoolam G, Chen L, Bentley P, Rueckert D Conference contribution 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