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Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.

, , , , , , , , , и . NeuroImage, (2015)

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Nelli Elizarov

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Другие публикации лиц с тем же именем

Deep Learning-based Spine Centerline Extraction in Fetal Ultrasound., , , и . Bildverarbeitung für die Medizin, стр. 263-268. Springer, (2021)Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI., , , , , , , , , и . MICCAI (2), том 8674 из Lecture Notes in Computer Science, стр. 276-283. Springer, (2014)Organ-At-Risk Segmentation in Brain MRI Using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors., , , и . ShapeMI@@MICCAI, том 11167 из Lecture Notes in Computer Science, стр. 291-299. Springer, (2018)Fitting parametric models of diffusion MRI in regions of partial volume., , , , , , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97843E. SPIE, (2016)Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI., , , , , , , , , и . NeuroImage, (2015)Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates., , , , , , , , и . STIA, том 8682 из Lecture Notes in Computer Science, стр. 3-12. Springer, (2014)