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Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".

, , , , , , , and . IEEE Trans. Medical Imaging, 39 (2): 543 (2020)

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MARM: Multiscale Adaptive Regression Models for Neuroimaging Data., , , , and . IPMI, volume 5636 of Lecture Notes in Computer Science, page 314-325. Springer, (2009)Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks., , , , and . CoRR, (2019)Multivariate Varying Coefficient Models for DTI Tract Statistics., , , , , , , and . MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 690-697. Springer, (2010)Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 576-587. Springer, (2015)Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing., , , and . Medical Image Anal., (2016)Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4, , , , , , , , , and 1 other author(s). The American Journal of Clinical Nutrition, (2023)Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space., , , , , and . IEEE Trans. Medical Imaging, 38 (12): 2838-2848 (2019)Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces., , , , , , and . ISBI, page 1380-1383. IEEE, (2013)Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy., , , , , , , , and . ISBI, page 422-425. IEEE, (2019)Neonatal brain MRI segmentation by building multi-region-multireference atlases., , , , , and . ISBI, page 964-967. IEEE, (2010)