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Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.

, , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)

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Interpolation Artefacts in Non-rigid Registration., , , and . MICCAI (2), volume 3750 of Lecture Notes in Computer Science, page 247-254. Springer, (2005)A multivariate statistical analysis of the developing human brain in preterm infants., , , , , , , , and . Image Vis. Comput., 25 (6): 981-994 (2007)Classifier Selection Strategies for Label Fusion Using Large Atlas Databases., , , , and . MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 523-531. Springer, (2007)Reconstruction of fetal brain MRI with intensity matching and complete outlier removal., , , , and . Medical Image Anal., 16 (8): 1550-1564 (2012)The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla., , , , , , , and . NeuroImage, 32 (3): 1050-1059 (2006)Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images., , , , , , , and . MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 291-300. Springer, (2004)Non-linear Registration with the Variable Viscosity Fluid Algorithm., , , , , and . IPMI, volume 1613 of Lecture Notes in Computer Science, page 238-251. Springer, (1999)Generalising Deep Learning MRI Reconstruction across Different Domains., , , , , , , and . CoRR, (2019)Automatic morphometry in Alzheimer's disease and mild cognitive impairment., , , , , , , and . NeuroImage, 56 (4): 2024-2037 (2011)Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches., , , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 574-581. Springer, (2013)