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Non-linear Registration with the Variable Viscosity Fluid Algorithm., , , , , и . IPMI, том 1613 из Lecture Notes in Computer Science, стр. 238-251. Springer, (1999)Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images., , , , , , , и . MICCAI (1), том 3216 из Lecture Notes in Computer Science, стр. 291-300. Springer, (2004)Generalising Deep Learning MRI Reconstruction across Different Domains., , , , , , , и . CoRR, (2019)Interpolation Artefacts in Non-rigid Registration., , , и . MICCAI (2), том 3750 из Lecture Notes in Computer Science, стр. 247-254. Springer, (2005)Classifier Selection Strategies for Label Fusion Using Large Atlas Databases., , , , и . MICCAI (1), том 4791 из Lecture Notes in Computer Science, стр. 523-531. Springer, (2007)Automatic morphometry in Alzheimer's disease and mild cognitive impairment., , , , , , , и . NeuroImage, 56 (4): 2024-2037 (2011)An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth., , , , , , , , и . MICCAI (1), том 2878 из Lecture Notes in Computer Science, стр. 697-704. Springer, (2003)Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches., , , , , , и . MICCAI (1), том 8149 из Lecture Notes in Computer Science, стр. 574-581. Springer, (2013)The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla., , , , , , , и . NeuroImage, 32 (3): 1050-1059 (2006)Reconstruction of fetal brain MRI with intensity matching and complete outlier removal., , , , и . Medical Image Anal., 16 (8): 1550-1564 (2012)