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Identification of cerebral small vessel disease using multiple instance learning (2015) Chen L, Tong T, Ho CP, Patel R, Cohen D, Dawson AC, Halse O, et al. Book chapter / Article in edited volumes Prediction of clinical information from cardiac MRI using manifold learning (2015) Wang H, Shi W, Bai W, De Marvao AMSM, Dawes TJW, O'Regan DP, Edwards P, et al. Conference contribution Learning a global descriptor of cardiac motion from a large cohort of 1000+ normal subjects (2015) Bai W, Peressutti D, Oktay O, Shi W, O'Regan DP, King AP, Rueckert D Conference contribution Structured decision forests for multi-modal ultrasound image registration (2015) Oktay O, Schuh A, Rajchl M, Keraudren K, Gomez A, Heinrich MP, Penney G, Rueckert D Conference contribution Fast reconstruction of accelerated dynamic MRI using manifold kernel regression (2015) Bhatia KK, Caballero J, Price AN, Sun Y, Hajnal JV, Rueckert D Conference contribution Prospective identification of CRT super responders using a motion atlas and random projection ensemble learning (2015) Peressutti D, Bai W, Jackson T, Sohal M, Rinaldi A, Rueckert D, King A Conference contribution A continuous flow-maximisation approach to connectivity-driven cortical parcellation (2015) Parisot S, Rajchl M, Passerat-Palmbach J, Rueckert D Conference contribution Multi-level parcellation of the cerebral cortex using resting-state fMRI (2015) Arslan S, Rueckert D Conference contribution Nonlinear graph fusion for multi-modal classification of Alzheimer’s disease (2015) Tong T, Gray K, Gao Q, Chen L, Rueckert D Conference contribution Group-constrained Laplacian Eigenmaps: Longitudinal AD biomarker learning (2015) Guerrero R, Ledig C, Schmidt-Richberg A, Rueckert D Conference contribution