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Learning and Combining Image Similarities for Neonatal Brain Population Studies.

, , , , , , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 110-117. Springer, (2015)

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Non-linear Registration with the Variable Viscosity Fluid Algorithm., , , , , and . IPMI, volume 1613 of Lecture Notes in Computer Science, page 238-251. Springer, (1999)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)Interpolation Artefacts in Non-rigid Registration., , , and . MICCAI (2), volume 3750 of Lecture Notes in Computer Science, page 247-254. Springer, (2005)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)The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla., , , , , , , and . NeuroImage, 32 (3): 1050-1059 (2006)Reconstruction of fetal brain MRI with intensity matching and complete outlier removal., , , , and . Medical Image Anal., 16 (8): 1550-1564 (2012)dStripe: Slice artefact correction in diffusion MRI via constrained neural network., , , and . Medical Image Anal., (2021)An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth., , , , , , , , and . MICCAI (1), volume 2878 of Lecture Notes in Computer Science, page 697-704. Springer, (2003)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)Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning., , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 259-267. Springer, (2018)