United Kingdom (GB)

Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting (2017) Tong T, Ledig C, Guerrero R, Schuh A, Koikkalainen J, Tolonen A, Rhodius H, et al. Journal article Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks (2017) Chen L, Bentley P, Rueckert D Journal article Fully convolutional networks in medical imaging: Applications to image enhancement and recognition (2017) Baumgartner CF, Oktay O, Rueckert D Book chapter / Article in edited volumes Automatic quality control of cardiac MRI segmentation in large-scale population imaging (2017) Robinson R, Valindria VV, Bai W, Suzuki H, Matthews PM, Page C, Rueckert D, Glocker B Conference contribution Distance metric learning using graph convolutional networks: Application to functional brain networks (2017) Ktena SI, Parisot S, Ferrante E, Rajchl M, Lee M, Glocker B, Rueckert D Conference contribution Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets (2017) Sinclair M, Bai W, Puyol-Antón E, Oktay O, Rueckert D, King AP Conference contribution Spectral graph convolutions for population-based disease prediction (2017) Parisot S, Ktena SI, Ferrante E, Lee M, Moreno RG, Glocker B, Rueckert D Conference contribution Semi-supervised learning for network-based cardiac MR image segmentation (2017) Bai W, Oktay O, Sinclair M, Suzuki H, Rajchl M, Tarroni G, Glocker B, et al. Conference contribution Joint supervoxel classification forest for weakly-supervised organ segmentation (2017) Kanavati F, Misawa K, Fujiwara M, Mori K, Rueckert D, Glocker B Conference contribution 3D FCN feature driven regression forest-based pancreas localization and segmentation (2017) Oda M, Shimizu N, Roth HR, Karasawa K, Kitasaka T, Misawa K, Fujiwara M, et al. Conference contribution