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A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.

, , , , , , , , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)

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3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction., , , and . ISBI, page 812-815. IEEE, (2013)Bayesian Deep Learning for Accelerated MR Image Reconstruction., , , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 64-71. Springer, (2018)Hierarchical Manifold Learning for Regional Image Analysis., , , , , and . IEEE Trans. Medical Imaging, 33 (2): 444-461 (2014)Hierarchical Manifold Learning., , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 512-519. Springer, (2012)CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains., , , , , and . CoRR, (2024)Localised manifold learning for cardiac image analysis., , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83140H. SPIE, (2012)Super-resolution reconstruction of cardiac MRI using coupled dictionary learning., , , , and . ISBI, page 947-950. IEEE, (2014)A deformable model for the reconstruction of the neonatal cortex., , , , , , , , , and 2 other author(s). ISBI, page 800-803. IEEE, (2017)A framework for multi-component analysis of diffusion MRI data over the neonatal period., , , , , , , , , and . NeuroImage, (2019)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)