Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression

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Learning clinically useful information from images: Past, present and future (2016, background): “…challenges of modelling spatio-temporal data in medical images: We have built several spatio-temporal models that characterise brain development in both neonates and fetal subjects across a large population at diﬀerent ages [Serag et al. (2012)] or for the cardiovascular system [Bai et al. (2015)].”
A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth (2017, methodology): “46 used a non-rigid registration approach based on Bspline free-form deformations (FFD) 50 and showed a marked improvement over the use of affine registration in atlas construction.”
The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction (2017, background): “Part of the reason for the success of these methods is the inclusion of terms that reflect prior knowledge derived from manually annotated tissue atlases (Serag et al., 2012), and knowledge of how partial volume reflects tissue contrast.”