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Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.

, , , , , , , , , , and . UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 174-186. Springer, (2020)

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Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age., , , , , , , , , and 17 other author(s). NeuroImage, (2021)Fetal Cortex Segmentation with Topology and Thickness Loss Constraints., , , , , , , , , and 3 other author(s). EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 123-133. Springer, (2022)CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI., , , , , , , and . UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 221-230. Springer, (2021)A deformable model for the reconstruction of the neonatal cortex., , , , , , , , , and 2 other author(s). ISBI, page 800-803. IEEE, (2017)Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface., , , , , , , , , and 1 other author(s). UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 174-186. Springer, (2020)The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration., , , , , , , and . STIA, volume 8682 of Lecture Notes in Computer Science, page 27-37. Springer, (2014)A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling., , , , , , , , , and 5 other author(s). MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching., , , , , , , , and . NeuroImage, (2015)