q-space deep learning for twelve-fold shorter and model-free diffusion MRI scans (2015) Golkov V, Dosovitskiy A, Saemann P, Sperl JI, Sprenger T, Czisch M, Menzel MI, et al. Book chapter / Article in edited volumes Manifold learning for cardiac modeling and estimation framework (2015) Chabiniok R, Bhatia KK, King AP, Rueckert D, Smith N Conference contribution Construction of a 4D brain atlas and growth model using diffeomorphic registration (2015) Schuh A, Murgasova M, Makropoulos A, Ledig C, Counsell SJ, Hajnal JV, Aljabar P, Rueckert D Conference contribution 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