United Kingdom (GB)

Three-dimensional cardiovascular imaging-genetics: A mass univariate framework (2018) Biffi C, De Marvao A, Attard MI, Dawes TJW, Whiffin N, Bai W, Shi W, et al. Journal article Distortion Correction in Fetal EPI Using Non-Rigid Registration with a Laplacian Constraint (2018) Kuklisova-Murgasova M, Estrin GL, Nunes RG, Malik SJ, Rutherford MA, Rueckert D, Hajnal JV Journal article Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis (2018) Cajanus A, Hall A, Koikkalainen J, Solje E, Tolonen A, Urhemaa T, Liu Y, et al. Journal article Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks (2018) Bowles C, Gunn R, Hammers A, Rueckert D Conference contribution Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations (2018) Bai W, Suzuki H, Qin C, Tarroni G, Oktay O, Matthews PM, Rueckert D Conference contribution Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension (2018) Duan J, Schlemper J, Bai W, Dawes TJW, Bello G, Doumou G, De Marvao A, et al. Conference contribution Bayesian deep learning for accelerated mr image reconstruction (2018) Schlemper J, Castro DC, Bai W, Qin C, Oktay O, Duan J, Price AN, et al. Conference contribution Cardiac mr motion artefact correction from k-space using deep learning-based reconstruction (2018) Oksuz I, Clough J, Bustin A, Cruz G, Prieto C, Botnar R, Rueckert D, et al. Conference contribution Joint learning of motion estimation and segmentation for cardiac MR image sequences (2018) Qin C, Bai W, Schlemper J, Petersen SE, Piechnik SK, Neubauer S, Rueckert D Conference contribution Stochastic deep compressive sensing for the reconstruction of diffusion tensor cardiac MRI (2018) Schlemper J, Yang G, Ferreira P, Scott A, Mcgill LA, Khalique Z, Gorodezky M, et al. Conference contribution