King’s College London

Global and local interpretability for cardiac MRI classification (2019) Clough JR, Oksuz I, Puyol-Anton E, Ruijsink B, King AP, Schnabel JA Conference contribution Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images (2019) Zimmer VA, Gomez A, Skelton E, Toussaint N, Zhang T, Khanal B, Wright R, et al. Conference contribution Synthesising images and labels between mr sequence types with cycleGAN (2019) Kerfoot E, Puyol-Antón E, Ruijsink B, Ariga R, Zacur E, Lamata P, Schnabel J Conference contribution Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging (2019) Gomez A, Zimmer V, Toussaint N, Wright R, Clough JR, Khanal B, Van Poppel MPM, et al. Conference contribution Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors (2019) Dal Toso L, Pfaehler E, Boellaard R, Schnabel JA, Marsden PK Conference contribution Virtual linear measurement system for accurate quantification of medical images (2019) Wheeler G, Deng S, Pushparajah K, Schnabel JA, Simpson JM, Gomez A Journal article Convolutional recurrent neural networks for dynamic MR image reconstruction (2019) Qin C, Schlemper J, Caballero J, Price AN, Hajnal JV, Rueckert D Journal article Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort (2019) Balaban G, Halliday BP, Bai W, Porter B, Malvuccio C, Lamata P, Rinaldi CA, et al. Journal article 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 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