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Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach., , , , , and . SUSI/PIPPI@MICCAI, volume 11798 of Lecture Notes in Computer Science, page 104-112. Springer, (2019)Segmentation of Brain MRI in Young Children., , , , , and . MICCAI (1), volume 4190 of Lecture Notes in Computer Science, page 687-694. Springer, (2006)A whole brain morphometric analysis of changes associated with pre-term birth., , , , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61445Y. SPIE, (2006)Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis., , , , , , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 282-303. PMLR, (2022)Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation., , , , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 103-112. Springer, (2021)Machine-learning to characterise neonatal functional connectivity in the preterm brain., , , , , , , , , and . NeuroImage, (2016)Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age., , , , , , , , , and 17 other author(s). NeuroImage, (2021)Synthesising Heterogeneously Encoded Systems., , and . ASYNC, page 138-149. IEEE Computer Society, (2006)Automatic Cortical Segmentation in the Developing Brain., , , , , , and . IPMI, volume 4584 of Lecture Notes in Computer Science, page 257-269. Springer, (2007)LOCUS - A Network Transparent, High Reliability Distributed System., , , , , , and . SOSP, page 169-177. ACM, (1981)Operating System Review 15(5).