King’s College London

Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images (2019) Bates R, Irving B, Markelc B, Kaeppler J, Brown G, Muschel RJ, Brady SM, et al. Journal article Left-Ventricle Quantification Using Residual U-Net (2019) Kerfoot E, Clough J, Oksuz I, Lee J, King AP, Schnabel JA Conference contribution Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas (2019) Puyol-Antón E, Ruijsink B, Langet H, De Craene M, Piro P, Schnabel JA, King AP Conference contribution Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology (2019) Clough JR, Oksuz I, Byrne N, Schnabel JA, King AP Conference contribution Artefact detection in video endoscopy using retinanet and focal loss function (2019) Oksuz I, Clough JR, King AP, Schnabel JA Conference contribution 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