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Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.

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Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks., , , , and . CoRR, (2019)MARM: Multiscale Adaptive Regression Models for Neuroimaging Data., , , , and . IPMI, volume 5636 of Lecture Notes in Computer Science, page 314-325. Springer, (2009)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)3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis., , , , , , , , , and . IEEE Trans. Medical Imaging, 38 (6): 1328-1339 (2019)Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations., , , , and . IEEE Trans. Medical Imaging, 39 (11): 3691-3702 (2020)Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space., , , , , and . IEEE Trans. Medical Imaging, 38 (12): 2838-2848 (2019)In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow., , , and . Int. J. Imaging Systems and Technology, 6 (2-3): 153-163 (1995)A review on neuroimaging studies of genetic and environmental influences on early brain development., , , , , , and . NeuroImage, (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)