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Fitzgibbon SP, Harrison SJ, Jenkinson M, et al. (2020) The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage. 117303 |
Harrison SJ, Bijsterboch JD, Segerdahl AR, et al. (2020) Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes. Neuroimage. 117226 |
Tournier JD, Christiaens D, Hutter J, et al. (2020) A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging. Nmr in Biomedicine. e4348 |
Lange FJ, Ashburner J, Smith SM, et al. (2020) A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration. Neuroimage. 219: 116962 |
Littlejohns TJ, Holliday J, Gibson LM, et al. (2020) The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nature Communications. 11: 2624 |
Alnæs D, Kaufmann T, Marquand AF, et al. (2020) Patterns of sociocognitive stratification and perinatal risk in the child brain. Proceedings of the National Academy of Sciences of the United States of America |
Autio JA, Glasser MF, Ose T, et al. (2020) Towards HCP-Style Macaque Connectomes: 24-Channel 3T Multi-Array Coil, MRI Sequences and Preprocessing. Neuroimage. 116800 |
Smith SM, Elliott LT, Alfaro-Almagro F, et al. (2020) Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations. Elife. 9 |
Pervaiz U, Vidaurre D, Woolrich MW, et al. (2020) Optimising network modelling methods for fMRI. Neuroimage. 116604 |
Li H, Smith SM, Gruber S, et al. (2019) Denoising scanner effects from multimodal MRI data using linked independent component analysis. Neuroimage. 116388 |