United Kingdom (GB)

Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline (2020) Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, Korvenoja A, et al. Journal article Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images (2020) Rachmadi MF, Valdes-Hernandez MDC, Li H, Guerrero R, Meijboom R, Wiseman S, Waldman A, et al. Journal article Model-Based and Data-Driven Strategies in Medical Image Computing (2020) Rueckert D, Schnabel JA Journal article Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders (2020) Puyol-Anton E, Ruijsink B, Clough JR, Oksuz I, Rueckert D, Razavi R, King AP Conference contribution Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training (2020) Qiu H, Qin C, Le Folgoc L, Hou B, Schlemper J, Rueckert D Conference contribution Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation (2020) Chen C, Ouyang C, Tarroni G, Schlemper J, Qiu H, Bai W, Rueckert D Conference contribution 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